
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (- (pow B 2.0) (* (* 4.0 A) C))))
(/
(-
(sqrt
(*
(* 2.0 (* t_0 F))
(+ (+ A C) (sqrt (+ (pow (- A C) 2.0) (pow B 2.0)))))))
t_0)))
double code(double A, double B, double C, double F) {
double t_0 = pow(B, 2.0) - ((4.0 * A) * C);
return -sqrt(((2.0 * (t_0 * F)) * ((A + C) + sqrt((pow((A - C), 2.0) + pow(B, 2.0)))))) / t_0;
}
real(8) function code(a, b, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: t_0
t_0 = (b ** 2.0d0) - ((4.0d0 * a) * c)
code = -sqrt(((2.0d0 * (t_0 * f)) * ((a + c) + sqrt((((a - c) ** 2.0d0) + (b ** 2.0d0)))))) / t_0
end function
public static double code(double A, double B, double C, double F) {
double t_0 = Math.pow(B, 2.0) - ((4.0 * A) * C);
return -Math.sqrt(((2.0 * (t_0 * F)) * ((A + C) + Math.sqrt((Math.pow((A - C), 2.0) + Math.pow(B, 2.0)))))) / t_0;
}
def code(A, B, C, F): t_0 = math.pow(B, 2.0) - ((4.0 * A) * C) return -math.sqrt(((2.0 * (t_0 * F)) * ((A + C) + math.sqrt((math.pow((A - C), 2.0) + math.pow(B, 2.0)))))) / t_0
function code(A, B, C, F) t_0 = Float64((B ^ 2.0) - Float64(Float64(4.0 * A) * C)) return Float64(Float64(-sqrt(Float64(Float64(2.0 * Float64(t_0 * F)) * Float64(Float64(A + C) + sqrt(Float64((Float64(A - C) ^ 2.0) + (B ^ 2.0))))))) / t_0) end
function tmp = code(A, B, C, F) t_0 = (B ^ 2.0) - ((4.0 * A) * C); tmp = -sqrt(((2.0 * (t_0 * F)) * ((A + C) + sqrt((((A - C) ^ 2.0) + (B ^ 2.0)))))) / t_0; end
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(N[Power[B, 2.0], $MachinePrecision] - N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]), $MachinePrecision]}, N[((-N[Sqrt[N[(N[(2.0 * N[(t$95$0 * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] + N[Sqrt[N[(N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]) / t$95$0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {B}^{2} - \left(4 \cdot A\right) \cdot C\\
\frac{-\sqrt{\left(2 \cdot \left(t\_0 \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{t\_0}
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 26 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (- (pow B 2.0) (* (* 4.0 A) C))))
(/
(-
(sqrt
(*
(* 2.0 (* t_0 F))
(+ (+ A C) (sqrt (+ (pow (- A C) 2.0) (pow B 2.0)))))))
t_0)))
double code(double A, double B, double C, double F) {
double t_0 = pow(B, 2.0) - ((4.0 * A) * C);
return -sqrt(((2.0 * (t_0 * F)) * ((A + C) + sqrt((pow((A - C), 2.0) + pow(B, 2.0)))))) / t_0;
}
real(8) function code(a, b, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: t_0
t_0 = (b ** 2.0d0) - ((4.0d0 * a) * c)
code = -sqrt(((2.0d0 * (t_0 * f)) * ((a + c) + sqrt((((a - c) ** 2.0d0) + (b ** 2.0d0)))))) / t_0
end function
public static double code(double A, double B, double C, double F) {
double t_0 = Math.pow(B, 2.0) - ((4.0 * A) * C);
return -Math.sqrt(((2.0 * (t_0 * F)) * ((A + C) + Math.sqrt((Math.pow((A - C), 2.0) + Math.pow(B, 2.0)))))) / t_0;
}
def code(A, B, C, F): t_0 = math.pow(B, 2.0) - ((4.0 * A) * C) return -math.sqrt(((2.0 * (t_0 * F)) * ((A + C) + math.sqrt((math.pow((A - C), 2.0) + math.pow(B, 2.0)))))) / t_0
function code(A, B, C, F) t_0 = Float64((B ^ 2.0) - Float64(Float64(4.0 * A) * C)) return Float64(Float64(-sqrt(Float64(Float64(2.0 * Float64(t_0 * F)) * Float64(Float64(A + C) + sqrt(Float64((Float64(A - C) ^ 2.0) + (B ^ 2.0))))))) / t_0) end
function tmp = code(A, B, C, F) t_0 = (B ^ 2.0) - ((4.0 * A) * C); tmp = -sqrt(((2.0 * (t_0 * F)) * ((A + C) + sqrt((((A - C) ^ 2.0) + (B ^ 2.0)))))) / t_0; end
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(N[Power[B, 2.0], $MachinePrecision] - N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]), $MachinePrecision]}, N[((-N[Sqrt[N[(N[(2.0 * N[(t$95$0 * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] + N[Sqrt[N[(N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]) / t$95$0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {B}^{2} - \left(4 \cdot A\right) \cdot C\\
\frac{-\sqrt{\left(2 \cdot \left(t\_0 \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{t\_0}
\end{array}
\end{array}
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (+ (* B_m B_m) (* A A)))
(t_1 (hypot B_m (- A C)))
(t_2 (+ (* B_m B_m) (* -4.0 (* A C))))
(t_3 (+ A (+ C t_1)))
(t_4 (sqrt (/ 1.0 t_0)))
(t_5 (- 1.0 (* A t_4)))
(t_6 (* (* 4.0 A) C))
(t_7
(/
(sqrt
(*
(* 2.0 (* (- (pow B_m 2.0) t_6) F))
(+ (+ A C) (sqrt (+ (pow B_m 2.0) (pow (- A C) 2.0))))))
(- t_6 (pow B_m 2.0))))
(t_8 (- t_6 (* B_m B_m)))
(t_9 (+ A (hypot B_m A))))
(if (<= t_7 (- INFINITY))
(* (sqrt (* F (/ (+ (+ A C) t_1) t_2))) (- 0.0 (sqrt 2.0)))
(if (<= t_7 -2e-194)
(/ 1.0 (/ t_8 (sqrt (* t_2 (* (* 2.0 F) t_3)))))
(if (<= t_7 5e-113)
(/
(sqrt
(+
(* 2.0 (* (* F (* B_m B_m)) t_9))
(*
C
(*
2.0
(+
(*
(* C F)
(+
(* (* A -4.0) t_5)
(* 0.5 (* (* B_m B_m) (* t_4 (- 1.0 (/ (* A A) t_0)))))))
(* F (+ (* t_9 (* A -4.0)) (* (* B_m B_m) t_5))))))))
t_8)
(if (<= t_7 INFINITY)
(/ (* (sqrt (* F t_2)) (sqrt (* 2.0 t_3))) t_8)
(*
(sqrt F)
(*
(sqrt (+ C (hypot B_m C)))
(/ (pow (pow 2.0 0.25) 2.0) (- 0.0 B_m))))))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double t_0 = (B_m * B_m) + (A * A);
double t_1 = hypot(B_m, (A - C));
double t_2 = (B_m * B_m) + (-4.0 * (A * C));
double t_3 = A + (C + t_1);
double t_4 = sqrt((1.0 / t_0));
double t_5 = 1.0 - (A * t_4);
double t_6 = (4.0 * A) * C;
double t_7 = sqrt(((2.0 * ((pow(B_m, 2.0) - t_6) * F)) * ((A + C) + sqrt((pow(B_m, 2.0) + pow((A - C), 2.0)))))) / (t_6 - pow(B_m, 2.0));
double t_8 = t_6 - (B_m * B_m);
double t_9 = A + hypot(B_m, A);
double tmp;
if (t_7 <= -((double) INFINITY)) {
tmp = sqrt((F * (((A + C) + t_1) / t_2))) * (0.0 - sqrt(2.0));
} else if (t_7 <= -2e-194) {
tmp = 1.0 / (t_8 / sqrt((t_2 * ((2.0 * F) * t_3))));
} else if (t_7 <= 5e-113) {
tmp = sqrt(((2.0 * ((F * (B_m * B_m)) * t_9)) + (C * (2.0 * (((C * F) * (((A * -4.0) * t_5) + (0.5 * ((B_m * B_m) * (t_4 * (1.0 - ((A * A) / t_0))))))) + (F * ((t_9 * (A * -4.0)) + ((B_m * B_m) * t_5)))))))) / t_8;
} else if (t_7 <= ((double) INFINITY)) {
tmp = (sqrt((F * t_2)) * sqrt((2.0 * t_3))) / t_8;
} else {
tmp = sqrt(F) * (sqrt((C + hypot(B_m, C))) * (pow(pow(2.0, 0.25), 2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double t_0 = (B_m * B_m) + (A * A);
double t_1 = Math.hypot(B_m, (A - C));
double t_2 = (B_m * B_m) + (-4.0 * (A * C));
double t_3 = A + (C + t_1);
double t_4 = Math.sqrt((1.0 / t_0));
double t_5 = 1.0 - (A * t_4);
double t_6 = (4.0 * A) * C;
double t_7 = Math.sqrt(((2.0 * ((Math.pow(B_m, 2.0) - t_6) * F)) * ((A + C) + Math.sqrt((Math.pow(B_m, 2.0) + Math.pow((A - C), 2.0)))))) / (t_6 - Math.pow(B_m, 2.0));
double t_8 = t_6 - (B_m * B_m);
double t_9 = A + Math.hypot(B_m, A);
double tmp;
if (t_7 <= -Double.POSITIVE_INFINITY) {
tmp = Math.sqrt((F * (((A + C) + t_1) / t_2))) * (0.0 - Math.sqrt(2.0));
} else if (t_7 <= -2e-194) {
tmp = 1.0 / (t_8 / Math.sqrt((t_2 * ((2.0 * F) * t_3))));
} else if (t_7 <= 5e-113) {
tmp = Math.sqrt(((2.0 * ((F * (B_m * B_m)) * t_9)) + (C * (2.0 * (((C * F) * (((A * -4.0) * t_5) + (0.5 * ((B_m * B_m) * (t_4 * (1.0 - ((A * A) / t_0))))))) + (F * ((t_9 * (A * -4.0)) + ((B_m * B_m) * t_5)))))))) / t_8;
} else if (t_7 <= Double.POSITIVE_INFINITY) {
tmp = (Math.sqrt((F * t_2)) * Math.sqrt((2.0 * t_3))) / t_8;
} else {
tmp = Math.sqrt(F) * (Math.sqrt((C + Math.hypot(B_m, C))) * (Math.pow(Math.pow(2.0, 0.25), 2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = (B_m * B_m) + (A * A) t_1 = math.hypot(B_m, (A - C)) t_2 = (B_m * B_m) + (-4.0 * (A * C)) t_3 = A + (C + t_1) t_4 = math.sqrt((1.0 / t_0)) t_5 = 1.0 - (A * t_4) t_6 = (4.0 * A) * C t_7 = math.sqrt(((2.0 * ((math.pow(B_m, 2.0) - t_6) * F)) * ((A + C) + math.sqrt((math.pow(B_m, 2.0) + math.pow((A - C), 2.0)))))) / (t_6 - math.pow(B_m, 2.0)) t_8 = t_6 - (B_m * B_m) t_9 = A + math.hypot(B_m, A) tmp = 0 if t_7 <= -math.inf: tmp = math.sqrt((F * (((A + C) + t_1) / t_2))) * (0.0 - math.sqrt(2.0)) elif t_7 <= -2e-194: tmp = 1.0 / (t_8 / math.sqrt((t_2 * ((2.0 * F) * t_3)))) elif t_7 <= 5e-113: tmp = math.sqrt(((2.0 * ((F * (B_m * B_m)) * t_9)) + (C * (2.0 * (((C * F) * (((A * -4.0) * t_5) + (0.5 * ((B_m * B_m) * (t_4 * (1.0 - ((A * A) / t_0))))))) + (F * ((t_9 * (A * -4.0)) + ((B_m * B_m) * t_5)))))))) / t_8 elif t_7 <= math.inf: tmp = (math.sqrt((F * t_2)) * math.sqrt((2.0 * t_3))) / t_8 else: tmp = math.sqrt(F) * (math.sqrt((C + math.hypot(B_m, C))) * (math.pow(math.pow(2.0, 0.25), 2.0) / (0.0 - B_m))) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = Float64(Float64(B_m * B_m) + Float64(A * A)) t_1 = hypot(B_m, Float64(A - C)) t_2 = Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))) t_3 = Float64(A + Float64(C + t_1)) t_4 = sqrt(Float64(1.0 / t_0)) t_5 = Float64(1.0 - Float64(A * t_4)) t_6 = Float64(Float64(4.0 * A) * C) t_7 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B_m ^ 2.0) - t_6) * F)) * Float64(Float64(A + C) + sqrt(Float64((B_m ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_6 - (B_m ^ 2.0))) t_8 = Float64(t_6 - Float64(B_m * B_m)) t_9 = Float64(A + hypot(B_m, A)) tmp = 0.0 if (t_7 <= Float64(-Inf)) tmp = Float64(sqrt(Float64(F * Float64(Float64(Float64(A + C) + t_1) / t_2))) * Float64(0.0 - sqrt(2.0))); elseif (t_7 <= -2e-194) tmp = Float64(1.0 / Float64(t_8 / sqrt(Float64(t_2 * Float64(Float64(2.0 * F) * t_3))))); elseif (t_7 <= 5e-113) tmp = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64(F * Float64(B_m * B_m)) * t_9)) + Float64(C * Float64(2.0 * Float64(Float64(Float64(C * F) * Float64(Float64(Float64(A * -4.0) * t_5) + Float64(0.5 * Float64(Float64(B_m * B_m) * Float64(t_4 * Float64(1.0 - Float64(Float64(A * A) / t_0))))))) + Float64(F * Float64(Float64(t_9 * Float64(A * -4.0)) + Float64(Float64(B_m * B_m) * t_5)))))))) / t_8); elseif (t_7 <= Inf) tmp = Float64(Float64(sqrt(Float64(F * t_2)) * sqrt(Float64(2.0 * t_3))) / t_8); else tmp = Float64(sqrt(F) * Float64(sqrt(Float64(C + hypot(B_m, C))) * Float64(((2.0 ^ 0.25) ^ 2.0) / Float64(0.0 - B_m)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) t_0 = (B_m * B_m) + (A * A); t_1 = hypot(B_m, (A - C)); t_2 = (B_m * B_m) + (-4.0 * (A * C)); t_3 = A + (C + t_1); t_4 = sqrt((1.0 / t_0)); t_5 = 1.0 - (A * t_4); t_6 = (4.0 * A) * C; t_7 = sqrt(((2.0 * (((B_m ^ 2.0) - t_6) * F)) * ((A + C) + sqrt(((B_m ^ 2.0) + ((A - C) ^ 2.0)))))) / (t_6 - (B_m ^ 2.0)); t_8 = t_6 - (B_m * B_m); t_9 = A + hypot(B_m, A); tmp = 0.0; if (t_7 <= -Inf) tmp = sqrt((F * (((A + C) + t_1) / t_2))) * (0.0 - sqrt(2.0)); elseif (t_7 <= -2e-194) tmp = 1.0 / (t_8 / sqrt((t_2 * ((2.0 * F) * t_3)))); elseif (t_7 <= 5e-113) tmp = sqrt(((2.0 * ((F * (B_m * B_m)) * t_9)) + (C * (2.0 * (((C * F) * (((A * -4.0) * t_5) + (0.5 * ((B_m * B_m) * (t_4 * (1.0 - ((A * A) / t_0))))))) + (F * ((t_9 * (A * -4.0)) + ((B_m * B_m) * t_5)))))))) / t_8; elseif (t_7 <= Inf) tmp = (sqrt((F * t_2)) * sqrt((2.0 * t_3))) / t_8; else tmp = sqrt(F) * (sqrt((C + hypot(B_m, C))) * (((2.0 ^ 0.25) ^ 2.0) / (0.0 - B_m))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision]
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(A * A), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]}, Block[{t$95$2 = N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(A + N[(C + t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 / t$95$0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(1.0 - N[(A * t$95$4), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$7 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B$95$m, 2.0], $MachinePrecision] - t$95$6), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] + N[Sqrt[N[(N[Power[B$95$m, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$6 - N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$8 = N[(t$95$6 - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$9 = N[(A + N[Sqrt[B$95$m ^ 2 + A ^ 2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, (-Infinity)], N[(N[Sqrt[N[(F * N[(N[(N[(A + C), $MachinePrecision] + t$95$1), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, -2e-194], N[(1.0 / N[(t$95$8 / N[Sqrt[N[(t$95$2 * N[(N[(2.0 * F), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 5e-113], N[(N[Sqrt[N[(N[(2.0 * N[(N[(F * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision] * t$95$9), $MachinePrecision]), $MachinePrecision] + N[(C * N[(2.0 * N[(N[(N[(C * F), $MachinePrecision] * N[(N[(N[(A * -4.0), $MachinePrecision] * t$95$5), $MachinePrecision] + N[(0.5 * N[(N[(B$95$m * B$95$m), $MachinePrecision] * N[(t$95$4 * N[(1.0 - N[(N[(A * A), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(F * N[(N[(t$95$9 * N[(A * -4.0), $MachinePrecision]), $MachinePrecision] + N[(N[(B$95$m * B$95$m), $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$8), $MachinePrecision], If[LessEqual[t$95$7, Infinity], N[(N[(N[Sqrt[N[(F * t$95$2), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$8), $MachinePrecision], N[(N[Sqrt[F], $MachinePrecision] * N[(N[Sqrt[N[(C + N[Sqrt[B$95$m ^ 2 + C ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[Power[2.0, 0.25], $MachinePrecision], 2.0], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := B\_m \cdot B\_m + A \cdot A\\
t_1 := \mathsf{hypot}\left(B\_m, A - C\right)\\
t_2 := B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\\
t_3 := A + \left(C + t\_1\right)\\
t_4 := \sqrt{\frac{1}{t\_0}}\\
t_5 := 1 - A \cdot t\_4\\
t_6 := \left(4 \cdot A\right) \cdot C\\
t_7 := \frac{\sqrt{\left(2 \cdot \left(\left({B\_m}^{2} - t\_6\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{B\_m}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_6 - {B\_m}^{2}}\\
t_8 := t\_6 - B\_m \cdot B\_m\\
t_9 := A + \mathsf{hypot}\left(B\_m, A\right)\\
\mathbf{if}\;t\_7 \leq -\infty:\\
\;\;\;\;\sqrt{F \cdot \frac{\left(A + C\right) + t\_1}{t\_2}} \cdot \left(0 - \sqrt{2}\right)\\
\mathbf{elif}\;t\_7 \leq -2 \cdot 10^{-194}:\\
\;\;\;\;\frac{1}{\frac{t\_8}{\sqrt{t\_2 \cdot \left(\left(2 \cdot F\right) \cdot t\_3\right)}}}\\
\mathbf{elif}\;t\_7 \leq 5 \cdot 10^{-113}:\\
\;\;\;\;\frac{\sqrt{2 \cdot \left(\left(F \cdot \left(B\_m \cdot B\_m\right)\right) \cdot t\_9\right) + C \cdot \left(2 \cdot \left(\left(C \cdot F\right) \cdot \left(\left(A \cdot -4\right) \cdot t\_5 + 0.5 \cdot \left(\left(B\_m \cdot B\_m\right) \cdot \left(t\_4 \cdot \left(1 - \frac{A \cdot A}{t\_0}\right)\right)\right)\right) + F \cdot \left(t\_9 \cdot \left(A \cdot -4\right) + \left(B\_m \cdot B\_m\right) \cdot t\_5\right)\right)\right)}}{t\_8}\\
\mathbf{elif}\;t\_7 \leq \infty:\\
\;\;\;\;\frac{\sqrt{F \cdot t\_2} \cdot \sqrt{2 \cdot t\_3}}{t\_8}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F} \cdot \left(\sqrt{C + \mathsf{hypot}\left(B\_m, C\right)} \cdot \frac{{\left({2}^{0.25}\right)}^{2}}{0 - B\_m}\right)\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -inf.0Initial program 3.2%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified66.8%
if -inf.0 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -2.00000000000000004e-194Initial program 98.3%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified98.3%
Applied egg-rr98.3%
if -2.00000000000000004e-194 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < 4.9999999999999997e-113Initial program 6.3%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified6.3%
Taylor expanded in C around 0
Simplified32.0%
if 4.9999999999999997e-113 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < +inf.0Initial program 49.7%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified58.1%
pow2N/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
sqrt-prodN/A
pow1/2N/A
*-lowering-*.f64N/A
Applied egg-rr82.8%
if +inf.0 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) Initial program 0.0%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6414.8%
Simplified14.8%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr26.2%
pow1/2N/A
sqr-powN/A
pow2N/A
pow-lowering-pow.f64N/A
pow-lowering-pow.f64N/A
metadata-eval26.3%
Applied egg-rr26.3%
Final simplification52.4%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (hypot B_m (- A C)))
(t_1 (+ (* B_m B_m) (* -4.0 (* A C))))
(t_2 (* (* 4.0 A) C))
(t_3
(/
(sqrt
(*
(* 2.0 (* (- (pow B_m 2.0) t_2) F))
(+ (+ A C) (sqrt (+ (pow B_m 2.0) (pow (- A C) 2.0))))))
(- t_2 (pow B_m 2.0)))))
(if (<= t_3 (- INFINITY))
(* (sqrt (* F (/ (+ (+ A C) t_0) t_1))) (- 0.0 (sqrt 2.0)))
(if (<= t_3 INFINITY)
(/
(* (sqrt (* F t_1)) (sqrt (* 2.0 (+ A (+ C t_0)))))
(- t_2 (* B_m B_m)))
(*
(sqrt F)
(*
(sqrt (+ C (hypot B_m C)))
(/ (pow (pow 2.0 0.25) 2.0) (- 0.0 B_m))))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double t_0 = hypot(B_m, (A - C));
double t_1 = (B_m * B_m) + (-4.0 * (A * C));
double t_2 = (4.0 * A) * C;
double t_3 = sqrt(((2.0 * ((pow(B_m, 2.0) - t_2) * F)) * ((A + C) + sqrt((pow(B_m, 2.0) + pow((A - C), 2.0)))))) / (t_2 - pow(B_m, 2.0));
double tmp;
if (t_3 <= -((double) INFINITY)) {
tmp = sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - sqrt(2.0));
} else if (t_3 <= ((double) INFINITY)) {
tmp = (sqrt((F * t_1)) * sqrt((2.0 * (A + (C + t_0))))) / (t_2 - (B_m * B_m));
} else {
tmp = sqrt(F) * (sqrt((C + hypot(B_m, C))) * (pow(pow(2.0, 0.25), 2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double t_0 = Math.hypot(B_m, (A - C));
double t_1 = (B_m * B_m) + (-4.0 * (A * C));
double t_2 = (4.0 * A) * C;
double t_3 = Math.sqrt(((2.0 * ((Math.pow(B_m, 2.0) - t_2) * F)) * ((A + C) + Math.sqrt((Math.pow(B_m, 2.0) + Math.pow((A - C), 2.0)))))) / (t_2 - Math.pow(B_m, 2.0));
double tmp;
if (t_3 <= -Double.POSITIVE_INFINITY) {
tmp = Math.sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - Math.sqrt(2.0));
} else if (t_3 <= Double.POSITIVE_INFINITY) {
tmp = (Math.sqrt((F * t_1)) * Math.sqrt((2.0 * (A + (C + t_0))))) / (t_2 - (B_m * B_m));
} else {
tmp = Math.sqrt(F) * (Math.sqrt((C + Math.hypot(B_m, C))) * (Math.pow(Math.pow(2.0, 0.25), 2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = math.hypot(B_m, (A - C)) t_1 = (B_m * B_m) + (-4.0 * (A * C)) t_2 = (4.0 * A) * C t_3 = math.sqrt(((2.0 * ((math.pow(B_m, 2.0) - t_2) * F)) * ((A + C) + math.sqrt((math.pow(B_m, 2.0) + math.pow((A - C), 2.0)))))) / (t_2 - math.pow(B_m, 2.0)) tmp = 0 if t_3 <= -math.inf: tmp = math.sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - math.sqrt(2.0)) elif t_3 <= math.inf: tmp = (math.sqrt((F * t_1)) * math.sqrt((2.0 * (A + (C + t_0))))) / (t_2 - (B_m * B_m)) else: tmp = math.sqrt(F) * (math.sqrt((C + math.hypot(B_m, C))) * (math.pow(math.pow(2.0, 0.25), 2.0) / (0.0 - B_m))) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = hypot(B_m, Float64(A - C)) t_1 = Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))) t_2 = Float64(Float64(4.0 * A) * C) t_3 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B_m ^ 2.0) - t_2) * F)) * Float64(Float64(A + C) + sqrt(Float64((B_m ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_2 - (B_m ^ 2.0))) tmp = 0.0 if (t_3 <= Float64(-Inf)) tmp = Float64(sqrt(Float64(F * Float64(Float64(Float64(A + C) + t_0) / t_1))) * Float64(0.0 - sqrt(2.0))); elseif (t_3 <= Inf) tmp = Float64(Float64(sqrt(Float64(F * t_1)) * sqrt(Float64(2.0 * Float64(A + Float64(C + t_0))))) / Float64(t_2 - Float64(B_m * B_m))); else tmp = Float64(sqrt(F) * Float64(sqrt(Float64(C + hypot(B_m, C))) * Float64(((2.0 ^ 0.25) ^ 2.0) / Float64(0.0 - B_m)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) t_0 = hypot(B_m, (A - C)); t_1 = (B_m * B_m) + (-4.0 * (A * C)); t_2 = (4.0 * A) * C; t_3 = sqrt(((2.0 * (((B_m ^ 2.0) - t_2) * F)) * ((A + C) + sqrt(((B_m ^ 2.0) + ((A - C) ^ 2.0)))))) / (t_2 - (B_m ^ 2.0)); tmp = 0.0; if (t_3 <= -Inf) tmp = sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - sqrt(2.0)); elseif (t_3 <= Inf) tmp = (sqrt((F * t_1)) * sqrt((2.0 * (A + (C + t_0))))) / (t_2 - (B_m * B_m)); else tmp = sqrt(F) * (sqrt((C + hypot(B_m, C))) * (((2.0 ^ 0.25) ^ 2.0) / (0.0 - B_m))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision]
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]}, Block[{t$95$1 = N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B$95$m, 2.0], $MachinePrecision] - t$95$2), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] + N[Sqrt[N[(N[Power[B$95$m, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$2 - N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, (-Infinity)], N[(N[Sqrt[N[(F * N[(N[(N[(A + C), $MachinePrecision] + t$95$0), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, Infinity], N[(N[(N[Sqrt[N[(F * t$95$1), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * N[(A + N[(C + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(t$95$2 - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[F], $MachinePrecision] * N[(N[Sqrt[N[(C + N[Sqrt[B$95$m ^ 2 + C ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[Power[2.0, 0.25], $MachinePrecision], 2.0], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := \mathsf{hypot}\left(B\_m, A - C\right)\\
t_1 := B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\\
t_2 := \left(4 \cdot A\right) \cdot C\\
t_3 := \frac{\sqrt{\left(2 \cdot \left(\left({B\_m}^{2} - t\_2\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{B\_m}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_2 - {B\_m}^{2}}\\
\mathbf{if}\;t\_3 \leq -\infty:\\
\;\;\;\;\sqrt{F \cdot \frac{\left(A + C\right) + t\_0}{t\_1}} \cdot \left(0 - \sqrt{2}\right)\\
\mathbf{elif}\;t\_3 \leq \infty:\\
\;\;\;\;\frac{\sqrt{F \cdot t\_1} \cdot \sqrt{2 \cdot \left(A + \left(C + t\_0\right)\right)}}{t\_2 - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F} \cdot \left(\sqrt{C + \mathsf{hypot}\left(B\_m, C\right)} \cdot \frac{{\left({2}^{0.25}\right)}^{2}}{0 - B\_m}\right)\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -inf.0Initial program 3.2%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified66.8%
if -inf.0 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < +inf.0Initial program 54.0%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified55.9%
pow2N/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
sqrt-prodN/A
pow1/2N/A
*-lowering-*.f64N/A
Applied egg-rr62.7%
if +inf.0 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) Initial program 0.0%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6414.8%
Simplified14.8%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr26.2%
pow1/2N/A
sqr-powN/A
pow2N/A
pow-lowering-pow.f64N/A
pow-lowering-pow.f64N/A
metadata-eval26.3%
Applied egg-rr26.3%
Final simplification49.2%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 5.7e+71)
(/
(*
(sqrt (* F (+ (* B_m B_m) (* -4.0 (* A C)))))
(sqrt (* 2.0 (+ A (+ C (hypot B_m (- A C)))))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(* (sqrt F) (* (sqrt (+ C (hypot C B_m))) (/ (sqrt 2.0) (- 0.0 B_m))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 5.7e+71) {
tmp = (sqrt((F * ((B_m * B_m) + (-4.0 * (A * C))))) * sqrt((2.0 * (A + (C + hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = sqrt(F) * (sqrt((C + hypot(C, B_m))) * (sqrt(2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 5.7e+71) {
tmp = (Math.sqrt((F * ((B_m * B_m) + (-4.0 * (A * C))))) * Math.sqrt((2.0 * (A + (C + Math.hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = Math.sqrt(F) * (Math.sqrt((C + Math.hypot(C, B_m))) * (Math.sqrt(2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 5.7e+71: tmp = (math.sqrt((F * ((B_m * B_m) + (-4.0 * (A * C))))) * math.sqrt((2.0 * (A + (C + math.hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = math.sqrt(F) * (math.sqrt((C + math.hypot(C, B_m))) * (math.sqrt(2.0) / (0.0 - B_m))) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 5.7e+71) tmp = Float64(Float64(sqrt(Float64(F * Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))))) * sqrt(Float64(2.0 * Float64(A + Float64(C + hypot(B_m, Float64(A - C))))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(sqrt(F) * Float64(sqrt(Float64(C + hypot(C, B_m))) * Float64(sqrt(2.0) / Float64(0.0 - B_m)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (B_m <= 5.7e+71) tmp = (sqrt((F * ((B_m * B_m) + (-4.0 * (A * C))))) * sqrt((2.0 * (A + (C + hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = sqrt(F) * (sqrt((C + hypot(C, B_m))) * (sqrt(2.0) / (0.0 - B_m))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[B$95$m, 5.7e+71], N[(N[(N[Sqrt[N[(F * N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * N[(A + N[(C + N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[F], $MachinePrecision] * N[(N[Sqrt[N[(C + N[Sqrt[C ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 5.7 \cdot 10^{+71}:\\
\;\;\;\;\frac{\sqrt{F \cdot \left(B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\right)} \cdot \sqrt{2 \cdot \left(A + \left(C + \mathsf{hypot}\left(B\_m, A - C\right)\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F} \cdot \left(\sqrt{C + \mathsf{hypot}\left(C, B\_m\right)} \cdot \frac{\sqrt{2}}{0 - B\_m}\right)\\
\end{array}
\end{array}
if B < 5.7000000000000001e71Initial program 26.0%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified31.1%
pow2N/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
sqrt-prodN/A
pow1/2N/A
*-lowering-*.f64N/A
Applied egg-rr38.1%
if 5.7000000000000001e71 < B Initial program 5.2%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6444.6%
Simplified44.6%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr73.2%
*-commutativeN/A
sub0-negN/A
distribute-lft-neg-outN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
hypot-defineN/A
hypot-lowering-hypot.f6473.2%
Applied egg-rr73.2%
Final simplification44.6%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (hypot B_m (- A C))) (t_1 (+ (* B_m B_m) (* -4.0 (* A C)))))
(if (<= B_m 5e+38)
(/
(* (sqrt (* F t_1)) (sqrt (* 2.0 (+ A (+ C t_0)))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(if (<= B_m 1.45e+149)
(* (sqrt (* F (/ (+ (+ A C) t_0) t_1))) (- 0.0 (sqrt 2.0)))
(*
(sqrt F)
(*
(sqrt (- B_m (* C (- -1.0 (* 0.5 (/ C B_m))))))
(/ (sqrt 2.0) (- 0.0 B_m))))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double t_0 = hypot(B_m, (A - C));
double t_1 = (B_m * B_m) + (-4.0 * (A * C));
double tmp;
if (B_m <= 5e+38) {
tmp = (sqrt((F * t_1)) * sqrt((2.0 * (A + (C + t_0))))) / (((4.0 * A) * C) - (B_m * B_m));
} else if (B_m <= 1.45e+149) {
tmp = sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - sqrt(2.0));
} else {
tmp = sqrt(F) * (sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (sqrt(2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double t_0 = Math.hypot(B_m, (A - C));
double t_1 = (B_m * B_m) + (-4.0 * (A * C));
double tmp;
if (B_m <= 5e+38) {
tmp = (Math.sqrt((F * t_1)) * Math.sqrt((2.0 * (A + (C + t_0))))) / (((4.0 * A) * C) - (B_m * B_m));
} else if (B_m <= 1.45e+149) {
tmp = Math.sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - Math.sqrt(2.0));
} else {
tmp = Math.sqrt(F) * (Math.sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (Math.sqrt(2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = math.hypot(B_m, (A - C)) t_1 = (B_m * B_m) + (-4.0 * (A * C)) tmp = 0 if B_m <= 5e+38: tmp = (math.sqrt((F * t_1)) * math.sqrt((2.0 * (A + (C + t_0))))) / (((4.0 * A) * C) - (B_m * B_m)) elif B_m <= 1.45e+149: tmp = math.sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - math.sqrt(2.0)) else: tmp = math.sqrt(F) * (math.sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (math.sqrt(2.0) / (0.0 - B_m))) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = hypot(B_m, Float64(A - C)) t_1 = Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))) tmp = 0.0 if (B_m <= 5e+38) tmp = Float64(Float64(sqrt(Float64(F * t_1)) * sqrt(Float64(2.0 * Float64(A + Float64(C + t_0))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); elseif (B_m <= 1.45e+149) tmp = Float64(sqrt(Float64(F * Float64(Float64(Float64(A + C) + t_0) / t_1))) * Float64(0.0 - sqrt(2.0))); else tmp = Float64(sqrt(F) * Float64(sqrt(Float64(B_m - Float64(C * Float64(-1.0 - Float64(0.5 * Float64(C / B_m)))))) * Float64(sqrt(2.0) / Float64(0.0 - B_m)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) t_0 = hypot(B_m, (A - C)); t_1 = (B_m * B_m) + (-4.0 * (A * C)); tmp = 0.0; if (B_m <= 5e+38) tmp = (sqrt((F * t_1)) * sqrt((2.0 * (A + (C + t_0))))) / (((4.0 * A) * C) - (B_m * B_m)); elseif (B_m <= 1.45e+149) tmp = sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - sqrt(2.0)); else tmp = sqrt(F) * (sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (sqrt(2.0) / (0.0 - B_m))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision]
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]}, Block[{t$95$1 = N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[B$95$m, 5e+38], N[(N[(N[Sqrt[N[(F * t$95$1), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * N[(A + N[(C + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[B$95$m, 1.45e+149], N[(N[Sqrt[N[(F * N[(N[(N[(A + C), $MachinePrecision] + t$95$0), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[F], $MachinePrecision] * N[(N[Sqrt[N[(B$95$m - N[(C * N[(-1.0 - N[(0.5 * N[(C / B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := \mathsf{hypot}\left(B\_m, A - C\right)\\
t_1 := B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\\
\mathbf{if}\;B\_m \leq 5 \cdot 10^{+38}:\\
\;\;\;\;\frac{\sqrt{F \cdot t\_1} \cdot \sqrt{2 \cdot \left(A + \left(C + t\_0\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{elif}\;B\_m \leq 1.45 \cdot 10^{+149}:\\
\;\;\;\;\sqrt{F \cdot \frac{\left(A + C\right) + t\_0}{t\_1}} \cdot \left(0 - \sqrt{2}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F} \cdot \left(\sqrt{B\_m - C \cdot \left(-1 - 0.5 \cdot \frac{C}{B\_m}\right)} \cdot \frac{\sqrt{2}}{0 - B\_m}\right)\\
\end{array}
\end{array}
if B < 4.9999999999999997e38Initial program 26.1%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified31.3%
pow2N/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
sqrt-prodN/A
pow1/2N/A
*-lowering-*.f64N/A
Applied egg-rr37.8%
if 4.9999999999999997e38 < B < 1.4500000000000001e149Initial program 13.0%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified74.3%
if 1.4500000000000001e149 < B Initial program 0.0%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6439.8%
Simplified39.8%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr79.2%
Taylor expanded in C around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6474.3%
Simplified74.3%
Final simplification44.7%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (hypot B_m (- A C))) (t_1 (+ (* B_m B_m) (* -4.0 (* A C)))))
(if (<= B_m 2.7e-55)
(/
(sqrt (* t_1 (* (* 2.0 F) (+ C (+ A t_0)))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(if (<= B_m 4.5e+148)
(* (sqrt (* F (/ (+ (+ A C) t_0) t_1))) (- 0.0 (sqrt 2.0)))
(*
(sqrt F)
(*
(sqrt (- B_m (* C (- -1.0 (* 0.5 (/ C B_m))))))
(/ (sqrt 2.0) (- 0.0 B_m))))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double t_0 = hypot(B_m, (A - C));
double t_1 = (B_m * B_m) + (-4.0 * (A * C));
double tmp;
if (B_m <= 2.7e-55) {
tmp = sqrt((t_1 * ((2.0 * F) * (C + (A + t_0))))) / (((4.0 * A) * C) - (B_m * B_m));
} else if (B_m <= 4.5e+148) {
tmp = sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - sqrt(2.0));
} else {
tmp = sqrt(F) * (sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (sqrt(2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double t_0 = Math.hypot(B_m, (A - C));
double t_1 = (B_m * B_m) + (-4.0 * (A * C));
double tmp;
if (B_m <= 2.7e-55) {
tmp = Math.sqrt((t_1 * ((2.0 * F) * (C + (A + t_0))))) / (((4.0 * A) * C) - (B_m * B_m));
} else if (B_m <= 4.5e+148) {
tmp = Math.sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - Math.sqrt(2.0));
} else {
tmp = Math.sqrt(F) * (Math.sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (Math.sqrt(2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = math.hypot(B_m, (A - C)) t_1 = (B_m * B_m) + (-4.0 * (A * C)) tmp = 0 if B_m <= 2.7e-55: tmp = math.sqrt((t_1 * ((2.0 * F) * (C + (A + t_0))))) / (((4.0 * A) * C) - (B_m * B_m)) elif B_m <= 4.5e+148: tmp = math.sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - math.sqrt(2.0)) else: tmp = math.sqrt(F) * (math.sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (math.sqrt(2.0) / (0.0 - B_m))) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = hypot(B_m, Float64(A - C)) t_1 = Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))) tmp = 0.0 if (B_m <= 2.7e-55) tmp = Float64(sqrt(Float64(t_1 * Float64(Float64(2.0 * F) * Float64(C + Float64(A + t_0))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); elseif (B_m <= 4.5e+148) tmp = Float64(sqrt(Float64(F * Float64(Float64(Float64(A + C) + t_0) / t_1))) * Float64(0.0 - sqrt(2.0))); else tmp = Float64(sqrt(F) * Float64(sqrt(Float64(B_m - Float64(C * Float64(-1.0 - Float64(0.5 * Float64(C / B_m)))))) * Float64(sqrt(2.0) / Float64(0.0 - B_m)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) t_0 = hypot(B_m, (A - C)); t_1 = (B_m * B_m) + (-4.0 * (A * C)); tmp = 0.0; if (B_m <= 2.7e-55) tmp = sqrt((t_1 * ((2.0 * F) * (C + (A + t_0))))) / (((4.0 * A) * C) - (B_m * B_m)); elseif (B_m <= 4.5e+148) tmp = sqrt((F * (((A + C) + t_0) / t_1))) * (0.0 - sqrt(2.0)); else tmp = sqrt(F) * (sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (sqrt(2.0) / (0.0 - B_m))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision]
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]}, Block[{t$95$1 = N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[B$95$m, 2.7e-55], N[(N[Sqrt[N[(t$95$1 * N[(N[(2.0 * F), $MachinePrecision] * N[(C + N[(A + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[B$95$m, 4.5e+148], N[(N[Sqrt[N[(F * N[(N[(N[(A + C), $MachinePrecision] + t$95$0), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[F], $MachinePrecision] * N[(N[Sqrt[N[(B$95$m - N[(C * N[(-1.0 - N[(0.5 * N[(C / B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := \mathsf{hypot}\left(B\_m, A - C\right)\\
t_1 := B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\\
\mathbf{if}\;B\_m \leq 2.7 \cdot 10^{-55}:\\
\;\;\;\;\frac{\sqrt{t\_1 \cdot \left(\left(2 \cdot F\right) \cdot \left(C + \left(A + t\_0\right)\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{elif}\;B\_m \leq 4.5 \cdot 10^{+148}:\\
\;\;\;\;\sqrt{F \cdot \frac{\left(A + C\right) + t\_0}{t\_1}} \cdot \left(0 - \sqrt{2}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F} \cdot \left(\sqrt{B\_m - C \cdot \left(-1 - 0.5 \cdot \frac{C}{B\_m}\right)} \cdot \frac{\sqrt{2}}{0 - B\_m}\right)\\
\end{array}
\end{array}
if B < 2.70000000000000004e-55Initial program 22.9%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified28.1%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr25.2%
metadata-evalN/A
cancel-sign-sub-invN/A
pow2N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr30.3%
if 2.70000000000000004e-55 < B < 4.49999999999999994e148Initial program 35.0%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified69.9%
if 4.49999999999999994e148 < B Initial program 0.0%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6439.8%
Simplified39.8%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr79.2%
Taylor expanded in C around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6474.3%
Simplified74.3%
Final simplification41.3%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (- (* (* 4.0 A) C) (* B_m B_m))))
(if (<= B_m 9.2e+70)
(/
(sqrt
(*
(+ (* B_m B_m) (* -4.0 (* A C)))
(* (* 2.0 F) (+ C (+ A (hypot B_m (- A C)))))))
t_0)
(if (<= B_m 1.35e+154)
(* (sqrt F) (* B_m (/ (sqrt (* 2.0 (+ C (hypot C B_m)))) t_0)))
(*
(sqrt F)
(*
(sqrt (- B_m (* C (- -1.0 (* 0.5 (/ C B_m))))))
(/ (sqrt 2.0) (- 0.0 B_m))))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double t_0 = ((4.0 * A) * C) - (B_m * B_m);
double tmp;
if (B_m <= 9.2e+70) {
tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + hypot(B_m, (A - C))))))) / t_0;
} else if (B_m <= 1.35e+154) {
tmp = sqrt(F) * (B_m * (sqrt((2.0 * (C + hypot(C, B_m)))) / t_0));
} else {
tmp = sqrt(F) * (sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (sqrt(2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double t_0 = ((4.0 * A) * C) - (B_m * B_m);
double tmp;
if (B_m <= 9.2e+70) {
tmp = Math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + Math.hypot(B_m, (A - C))))))) / t_0;
} else if (B_m <= 1.35e+154) {
tmp = Math.sqrt(F) * (B_m * (Math.sqrt((2.0 * (C + Math.hypot(C, B_m)))) / t_0));
} else {
tmp = Math.sqrt(F) * (Math.sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (Math.sqrt(2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = ((4.0 * A) * C) - (B_m * B_m) tmp = 0 if B_m <= 9.2e+70: tmp = math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + math.hypot(B_m, (A - C))))))) / t_0 elif B_m <= 1.35e+154: tmp = math.sqrt(F) * (B_m * (math.sqrt((2.0 * (C + math.hypot(C, B_m)))) / t_0)) else: tmp = math.sqrt(F) * (math.sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (math.sqrt(2.0) / (0.0 - B_m))) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m)) tmp = 0.0 if (B_m <= 9.2e+70) tmp = Float64(sqrt(Float64(Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))) * Float64(Float64(2.0 * F) * Float64(C + Float64(A + hypot(B_m, Float64(A - C))))))) / t_0); elseif (B_m <= 1.35e+154) tmp = Float64(sqrt(F) * Float64(B_m * Float64(sqrt(Float64(2.0 * Float64(C + hypot(C, B_m)))) / t_0))); else tmp = Float64(sqrt(F) * Float64(sqrt(Float64(B_m - Float64(C * Float64(-1.0 - Float64(0.5 * Float64(C / B_m)))))) * Float64(sqrt(2.0) / Float64(0.0 - B_m)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) t_0 = ((4.0 * A) * C) - (B_m * B_m); tmp = 0.0; if (B_m <= 9.2e+70) tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + hypot(B_m, (A - C))))))) / t_0; elseif (B_m <= 1.35e+154) tmp = sqrt(F) * (B_m * (sqrt((2.0 * (C + hypot(C, B_m)))) / t_0)); else tmp = sqrt(F) * (sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (sqrt(2.0) / (0.0 - B_m))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision]
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[B$95$m, 9.2e+70], N[(N[Sqrt[N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(C + N[(A + N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[B$95$m, 1.35e+154], N[(N[Sqrt[F], $MachinePrecision] * N[(B$95$m * N[(N[Sqrt[N[(2.0 * N[(C + N[Sqrt[C ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[F], $MachinePrecision] * N[(N[Sqrt[N[(B$95$m - N[(C * N[(-1.0 - N[(0.5 * N[(C / B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := \left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m\\
\mathbf{if}\;B\_m \leq 9.2 \cdot 10^{+70}:\\
\;\;\;\;\frac{\sqrt{\left(B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(C + \left(A + \mathsf{hypot}\left(B\_m, A - C\right)\right)\right)\right)}}{t\_0}\\
\mathbf{elif}\;B\_m \leq 1.35 \cdot 10^{+154}:\\
\;\;\;\;\sqrt{F} \cdot \left(B\_m \cdot \frac{\sqrt{2 \cdot \left(C + \mathsf{hypot}\left(C, B\_m\right)\right)}}{t\_0}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F} \cdot \left(\sqrt{B\_m - C \cdot \left(-1 - 0.5 \cdot \frac{C}{B\_m}\right)} \cdot \frac{\sqrt{2}}{0 - B\_m}\right)\\
\end{array}
\end{array}
if B < 9.19999999999999975e70Initial program 26.0%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified31.1%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr28.5%
metadata-evalN/A
cancel-sign-sub-invN/A
pow2N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr33.1%
if 9.19999999999999975e70 < B < 1.35000000000000003e154Initial program 13.5%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified13.9%
Taylor expanded in A around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6414.5%
Simplified14.5%
clear-numN/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
*-commutativeN/A
associate-*l*N/A
Applied egg-rr52.2%
associate-*l*N/A
*-commutativeN/A
*-commutativeN/A
unpow1/2N/A
associate-*l*N/A
sqrt-prodN/A
associate-*l*N/A
*-commutativeN/A
associate-/r/N/A
clear-numN/A
Applied egg-rr63.7%
if 1.35000000000000003e154 < B Initial program 0.0%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6439.8%
Simplified39.8%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr79.2%
Taylor expanded in C around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6474.3%
Simplified74.3%
Final simplification39.9%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 1.35e+71)
(/
(sqrt
(*
(+ (* B_m B_m) (* -4.0 (* A C)))
(* (* 2.0 F) (+ C (+ A (hypot B_m (- A C)))))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(*
(sqrt F)
(*
(sqrt (- B_m (* C (- -1.0 (* 0.5 (/ C B_m))))))
(/ (sqrt 2.0) (- 0.0 B_m))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 1.35e+71) {
tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = sqrt(F) * (sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (sqrt(2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 1.35e+71) {
tmp = Math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + Math.hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = Math.sqrt(F) * (Math.sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (Math.sqrt(2.0) / (0.0 - B_m)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 1.35e+71: tmp = math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + math.hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = math.sqrt(F) * (math.sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (math.sqrt(2.0) / (0.0 - B_m))) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 1.35e+71) tmp = Float64(sqrt(Float64(Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))) * Float64(Float64(2.0 * F) * Float64(C + Float64(A + hypot(B_m, Float64(A - C))))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(sqrt(F) * Float64(sqrt(Float64(B_m - Float64(C * Float64(-1.0 - Float64(0.5 * Float64(C / B_m)))))) * Float64(sqrt(2.0) / Float64(0.0 - B_m)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (B_m <= 1.35e+71) tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = sqrt(F) * (sqrt((B_m - (C * (-1.0 - (0.5 * (C / B_m)))))) * (sqrt(2.0) / (0.0 - B_m))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[B$95$m, 1.35e+71], N[(N[Sqrt[N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(C + N[(A + N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[F], $MachinePrecision] * N[(N[Sqrt[N[(B$95$m - N[(C * N[(-1.0 - N[(0.5 * N[(C / B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 1.35 \cdot 10^{+71}:\\
\;\;\;\;\frac{\sqrt{\left(B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(C + \left(A + \mathsf{hypot}\left(B\_m, A - C\right)\right)\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F} \cdot \left(\sqrt{B\_m - C \cdot \left(-1 - 0.5 \cdot \frac{C}{B\_m}\right)} \cdot \frac{\sqrt{2}}{0 - B\_m}\right)\\
\end{array}
\end{array}
if B < 1.34999999999999998e71Initial program 26.0%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified31.1%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr28.5%
metadata-evalN/A
cancel-sign-sub-invN/A
pow2N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr33.1%
if 1.34999999999999998e71 < B Initial program 5.2%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6444.6%
Simplified44.6%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr73.2%
Taylor expanded in C around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6464.1%
Simplified64.1%
Final simplification38.8%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 4.5e+71)
(/
(sqrt
(*
(+ (* B_m B_m) (* -4.0 (* A C)))
(* (* 2.0 F) (+ C (+ A (hypot B_m (- A C)))))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(* (sqrt F) (* (/ (sqrt 2.0) (- 0.0 B_m)) (sqrt (+ B_m C))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 4.5e+71) {
tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = sqrt(F) * ((sqrt(2.0) / (0.0 - B_m)) * sqrt((B_m + C)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 4.5e+71) {
tmp = Math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + Math.hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = Math.sqrt(F) * ((Math.sqrt(2.0) / (0.0 - B_m)) * Math.sqrt((B_m + C)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 4.5e+71: tmp = math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + math.hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = math.sqrt(F) * ((math.sqrt(2.0) / (0.0 - B_m)) * math.sqrt((B_m + C))) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 4.5e+71) tmp = Float64(sqrt(Float64(Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))) * Float64(Float64(2.0 * F) * Float64(C + Float64(A + hypot(B_m, Float64(A - C))))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(sqrt(F) * Float64(Float64(sqrt(2.0) / Float64(0.0 - B_m)) * sqrt(Float64(B_m + C)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (B_m <= 4.5e+71) tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = sqrt(F) * ((sqrt(2.0) / (0.0 - B_m)) * sqrt((B_m + C))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[B$95$m, 4.5e+71], N[(N[Sqrt[N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(C + N[(A + N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[F], $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(B$95$m + C), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 4.5 \cdot 10^{+71}:\\
\;\;\;\;\frac{\sqrt{\left(B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(C + \left(A + \mathsf{hypot}\left(B\_m, A - C\right)\right)\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F} \cdot \left(\frac{\sqrt{2}}{0 - B\_m} \cdot \sqrt{B\_m + C}\right)\\
\end{array}
\end{array}
if B < 4.50000000000000043e71Initial program 26.0%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified31.1%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr28.5%
metadata-evalN/A
cancel-sign-sub-invN/A
pow2N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr33.1%
if 4.50000000000000043e71 < B Initial program 5.2%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6444.6%
Simplified44.6%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr73.2%
Taylor expanded in C around 0
+-lowering-+.f6463.8%
Simplified63.8%
Final simplification38.8%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 1.32e+71)
(/
(sqrt
(*
(+ (* B_m B_m) (* -4.0 (* A C)))
(* (* 2.0 F) (+ C (+ A (hypot B_m (- A C)))))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(* (sqrt F) (* (sqrt (/ 1.0 B_m)) (- 0.0 (sqrt 2.0))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 1.32e+71) {
tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = sqrt(F) * (sqrt((1.0 / B_m)) * (0.0 - sqrt(2.0)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 1.32e+71) {
tmp = Math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + Math.hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = Math.sqrt(F) * (Math.sqrt((1.0 / B_m)) * (0.0 - Math.sqrt(2.0)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 1.32e+71: tmp = math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + math.hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = math.sqrt(F) * (math.sqrt((1.0 / B_m)) * (0.0 - math.sqrt(2.0))) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 1.32e+71) tmp = Float64(sqrt(Float64(Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))) * Float64(Float64(2.0 * F) * Float64(C + Float64(A + hypot(B_m, Float64(A - C))))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(sqrt(F) * Float64(sqrt(Float64(1.0 / B_m)) * Float64(0.0 - sqrt(2.0)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (B_m <= 1.32e+71) tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = sqrt(F) * (sqrt((1.0 / B_m)) * (0.0 - sqrt(2.0))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[B$95$m, 1.32e+71], N[(N[Sqrt[N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(C + N[(A + N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[F], $MachinePrecision] * N[(N[Sqrt[N[(1.0 / B$95$m), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 1.32 \cdot 10^{+71}:\\
\;\;\;\;\frac{\sqrt{\left(B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(C + \left(A + \mathsf{hypot}\left(B\_m, A - C\right)\right)\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F} \cdot \left(\sqrt{\frac{1}{B\_m}} \cdot \left(0 - \sqrt{2}\right)\right)\\
\end{array}
\end{array}
if B < 1.32000000000000007e71Initial program 26.0%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified31.1%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr28.5%
metadata-evalN/A
cancel-sign-sub-invN/A
pow2N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr33.1%
if 1.32000000000000007e71 < B Initial program 5.2%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6444.6%
Simplified44.6%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr73.2%
Taylor expanded in C around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6461.0%
Simplified61.0%
Final simplification38.2%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 6.5e+74)
(/
(sqrt
(*
(+ (* B_m B_m) (* -4.0 (* A C)))
(* (* 2.0 F) (+ C (+ A (hypot B_m (- A C)))))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(* (/ (sqrt 2.0) (- 0.0 B_m)) (sqrt (* F (+ B_m C))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 6.5e+74) {
tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = (sqrt(2.0) / (0.0 - B_m)) * sqrt((F * (B_m + C)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 6.5e+74) {
tmp = Math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + Math.hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = (Math.sqrt(2.0) / (0.0 - B_m)) * Math.sqrt((F * (B_m + C)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 6.5e+74: tmp = math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + math.hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = (math.sqrt(2.0) / (0.0 - B_m)) * math.sqrt((F * (B_m + C))) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 6.5e+74) tmp = Float64(sqrt(Float64(Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))) * Float64(Float64(2.0 * F) * Float64(C + Float64(A + hypot(B_m, Float64(A - C))))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(Float64(sqrt(2.0) / Float64(0.0 - B_m)) * sqrt(Float64(F * Float64(B_m + C)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (B_m <= 6.5e+74) tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (C + (A + hypot(B_m, (A - C))))))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = (sqrt(2.0) / (0.0 - B_m)) * sqrt((F * (B_m + C))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[B$95$m, 6.5e+74], N[(N[Sqrt[N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(C + N[(A + N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(F * N[(B$95$m + C), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 6.5 \cdot 10^{+74}:\\
\;\;\;\;\frac{\sqrt{\left(B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(C + \left(A + \mathsf{hypot}\left(B\_m, A - C\right)\right)\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{2}}{0 - B\_m} \cdot \sqrt{F \cdot \left(B\_m + C\right)}\\
\end{array}
\end{array}
if B < 6.49999999999999962e74Initial program 25.9%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified31.0%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr28.4%
metadata-evalN/A
cancel-sign-sub-invN/A
pow2N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr33.0%
if 6.49999999999999962e74 < B Initial program 5.3%
Taylor expanded in B around inf
Simplified3.4%
Taylor expanded in A around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f6437.2%
Simplified37.2%
Final simplification33.7%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (* (* 4.0 A) C)))
(if (<= B_m 2e+67)
(/
(sqrt
(* (* (* 2.0 F) (- (* B_m B_m) t_0)) (+ (+ A C) (hypot B_m (- A C)))))
(- t_0 (* B_m B_m)))
(* (/ (sqrt 2.0) (- 0.0 B_m)) (sqrt (* F (+ B_m C)))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double t_0 = (4.0 * A) * C;
double tmp;
if (B_m <= 2e+67) {
tmp = sqrt((((2.0 * F) * ((B_m * B_m) - t_0)) * ((A + C) + hypot(B_m, (A - C))))) / (t_0 - (B_m * B_m));
} else {
tmp = (sqrt(2.0) / (0.0 - B_m)) * sqrt((F * (B_m + C)));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double t_0 = (4.0 * A) * C;
double tmp;
if (B_m <= 2e+67) {
tmp = Math.sqrt((((2.0 * F) * ((B_m * B_m) - t_0)) * ((A + C) + Math.hypot(B_m, (A - C))))) / (t_0 - (B_m * B_m));
} else {
tmp = (Math.sqrt(2.0) / (0.0 - B_m)) * Math.sqrt((F * (B_m + C)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = (4.0 * A) * C tmp = 0 if B_m <= 2e+67: tmp = math.sqrt((((2.0 * F) * ((B_m * B_m) - t_0)) * ((A + C) + math.hypot(B_m, (A - C))))) / (t_0 - (B_m * B_m)) else: tmp = (math.sqrt(2.0) / (0.0 - B_m)) * math.sqrt((F * (B_m + C))) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = Float64(Float64(4.0 * A) * C) tmp = 0.0 if (B_m <= 2e+67) tmp = Float64(sqrt(Float64(Float64(Float64(2.0 * F) * Float64(Float64(B_m * B_m) - t_0)) * Float64(Float64(A + C) + hypot(B_m, Float64(A - C))))) / Float64(t_0 - Float64(B_m * B_m))); else tmp = Float64(Float64(sqrt(2.0) / Float64(0.0 - B_m)) * sqrt(Float64(F * Float64(B_m + C)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) t_0 = (4.0 * A) * C; tmp = 0.0; if (B_m <= 2e+67) tmp = sqrt((((2.0 * F) * ((B_m * B_m) - t_0)) * ((A + C) + hypot(B_m, (A - C))))) / (t_0 - (B_m * B_m)); else tmp = (sqrt(2.0) / (0.0 - B_m)) * sqrt((F * (B_m + C))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision]
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, If[LessEqual[B$95$m, 2e+67], N[(N[Sqrt[N[(N[(N[(2.0 * F), $MachinePrecision] * N[(N[(B$95$m * B$95$m), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] + N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$0 - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(F * N[(B$95$m + C), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := \left(4 \cdot A\right) \cdot C\\
\mathbf{if}\;B\_m \leq 2 \cdot 10^{+67}:\\
\;\;\;\;\frac{\sqrt{\left(\left(2 \cdot F\right) \cdot \left(B\_m \cdot B\_m - t\_0\right)\right) \cdot \left(\left(A + C\right) + \mathsf{hypot}\left(B\_m, A - C\right)\right)}}{t\_0 - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{2}}{0 - B\_m} \cdot \sqrt{F \cdot \left(B\_m + C\right)}\\
\end{array}
\end{array}
if B < 1.99999999999999997e67Initial program 26.0%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified31.1%
if 1.99999999999999997e67 < B Initial program 5.2%
Taylor expanded in B around inf
Simplified3.3%
Taylor expanded in A around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f6436.5%
Simplified36.5%
Final simplification32.1%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= F 9.2e-308)
(/
(sqrt (* (+ (+ A C) (hypot B_m (- A C))) (* (* -4.0 (* A C)) (* 2.0 F))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(if (<= F 7.5e+55)
(* (/ (sqrt 2.0) B_m) (- 0.0 (sqrt (* B_m F))))
(* (sqrt (/ F B_m)) (- 0.0 (sqrt 2.0))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (F <= 9.2e-308) {
tmp = sqrt((((A + C) + hypot(B_m, (A - C))) * ((-4.0 * (A * C)) * (2.0 * F)))) / (((4.0 * A) * C) - (B_m * B_m));
} else if (F <= 7.5e+55) {
tmp = (sqrt(2.0) / B_m) * (0.0 - sqrt((B_m * F)));
} else {
tmp = sqrt((F / B_m)) * (0.0 - sqrt(2.0));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (F <= 9.2e-308) {
tmp = Math.sqrt((((A + C) + Math.hypot(B_m, (A - C))) * ((-4.0 * (A * C)) * (2.0 * F)))) / (((4.0 * A) * C) - (B_m * B_m));
} else if (F <= 7.5e+55) {
tmp = (Math.sqrt(2.0) / B_m) * (0.0 - Math.sqrt((B_m * F)));
} else {
tmp = Math.sqrt((F / B_m)) * (0.0 - Math.sqrt(2.0));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if F <= 9.2e-308: tmp = math.sqrt((((A + C) + math.hypot(B_m, (A - C))) * ((-4.0 * (A * C)) * (2.0 * F)))) / (((4.0 * A) * C) - (B_m * B_m)) elif F <= 7.5e+55: tmp = (math.sqrt(2.0) / B_m) * (0.0 - math.sqrt((B_m * F))) else: tmp = math.sqrt((F / B_m)) * (0.0 - math.sqrt(2.0)) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (F <= 9.2e-308) tmp = Float64(sqrt(Float64(Float64(Float64(A + C) + hypot(B_m, Float64(A - C))) * Float64(Float64(-4.0 * Float64(A * C)) * Float64(2.0 * F)))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); elseif (F <= 7.5e+55) tmp = Float64(Float64(sqrt(2.0) / B_m) * Float64(0.0 - sqrt(Float64(B_m * F)))); else tmp = Float64(sqrt(Float64(F / B_m)) * Float64(0.0 - sqrt(2.0))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (F <= 9.2e-308) tmp = sqrt((((A + C) + hypot(B_m, (A - C))) * ((-4.0 * (A * C)) * (2.0 * F)))) / (((4.0 * A) * C) - (B_m * B_m)); elseif (F <= 7.5e+55) tmp = (sqrt(2.0) / B_m) * (0.0 - sqrt((B_m * F))); else tmp = sqrt((F / B_m)) * (0.0 - sqrt(2.0)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[F, 9.2e-308], N[(N[Sqrt[N[(N[(N[(A + C), $MachinePrecision] + N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] * N[(N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] * N[(2.0 * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[F, 7.5e+55], N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[(0.0 - N[Sqrt[N[(B$95$m * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(F / B$95$m), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;F \leq 9.2 \cdot 10^{-308}:\\
\;\;\;\;\frac{\sqrt{\left(\left(A + C\right) + \mathsf{hypot}\left(B\_m, A - C\right)\right) \cdot \left(\left(-4 \cdot \left(A \cdot C\right)\right) \cdot \left(2 \cdot F\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{elif}\;F \leq 7.5 \cdot 10^{+55}:\\
\;\;\;\;\frac{\sqrt{2}}{B\_m} \cdot \left(0 - \sqrt{B\_m \cdot F}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{F}{B\_m}} \cdot \left(0 - \sqrt{2}\right)\\
\end{array}
\end{array}
if F < 9.1999999999999996e-308Initial program 34.2%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified39.4%
Taylor expanded in B around 0
*-lowering-*.f64N/A
*-lowering-*.f6439.4%
Simplified39.4%
if 9.1999999999999996e-308 < F < 7.50000000000000014e55Initial program 22.1%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6421.7%
Simplified21.7%
Taylor expanded in C around 0
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f6416.4%
Simplified16.4%
if 7.50000000000000014e55 < F Initial program 17.4%
Taylor expanded in B around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6422.3%
Simplified22.3%
Final simplification21.8%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= F -2.15e-246)
(/
(sqrt (* (+ (+ A C) (hypot B_m (- A C))) (* (* C F) (* A -8.0))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(if (<= F 7.5e+55)
(* (/ (sqrt 2.0) B_m) (- 0.0 (sqrt (* B_m F))))
(* (sqrt (/ F B_m)) (- 0.0 (sqrt 2.0))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (F <= -2.15e-246) {
tmp = sqrt((((A + C) + hypot(B_m, (A - C))) * ((C * F) * (A * -8.0)))) / (((4.0 * A) * C) - (B_m * B_m));
} else if (F <= 7.5e+55) {
tmp = (sqrt(2.0) / B_m) * (0.0 - sqrt((B_m * F)));
} else {
tmp = sqrt((F / B_m)) * (0.0 - sqrt(2.0));
}
return tmp;
}
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (F <= -2.15e-246) {
tmp = Math.sqrt((((A + C) + Math.hypot(B_m, (A - C))) * ((C * F) * (A * -8.0)))) / (((4.0 * A) * C) - (B_m * B_m));
} else if (F <= 7.5e+55) {
tmp = (Math.sqrt(2.0) / B_m) * (0.0 - Math.sqrt((B_m * F)));
} else {
tmp = Math.sqrt((F / B_m)) * (0.0 - Math.sqrt(2.0));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if F <= -2.15e-246: tmp = math.sqrt((((A + C) + math.hypot(B_m, (A - C))) * ((C * F) * (A * -8.0)))) / (((4.0 * A) * C) - (B_m * B_m)) elif F <= 7.5e+55: tmp = (math.sqrt(2.0) / B_m) * (0.0 - math.sqrt((B_m * F))) else: tmp = math.sqrt((F / B_m)) * (0.0 - math.sqrt(2.0)) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (F <= -2.15e-246) tmp = Float64(sqrt(Float64(Float64(Float64(A + C) + hypot(B_m, Float64(A - C))) * Float64(Float64(C * F) * Float64(A * -8.0)))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); elseif (F <= 7.5e+55) tmp = Float64(Float64(sqrt(2.0) / B_m) * Float64(0.0 - sqrt(Float64(B_m * F)))); else tmp = Float64(sqrt(Float64(F / B_m)) * Float64(0.0 - sqrt(2.0))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (F <= -2.15e-246) tmp = sqrt((((A + C) + hypot(B_m, (A - C))) * ((C * F) * (A * -8.0)))) / (((4.0 * A) * C) - (B_m * B_m)); elseif (F <= 7.5e+55) tmp = (sqrt(2.0) / B_m) * (0.0 - sqrt((B_m * F))); else tmp = sqrt((F / B_m)) * (0.0 - sqrt(2.0)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[F, -2.15e-246], N[(N[Sqrt[N[(N[(N[(A + C), $MachinePrecision] + N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] * N[(N[(C * F), $MachinePrecision] * N[(A * -8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[F, 7.5e+55], N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[(0.0 - N[Sqrt[N[(B$95$m * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(F / B$95$m), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;F \leq -2.15 \cdot 10^{-246}:\\
\;\;\;\;\frac{\sqrt{\left(\left(A + C\right) + \mathsf{hypot}\left(B\_m, A - C\right)\right) \cdot \left(\left(C \cdot F\right) \cdot \left(A \cdot -8\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{elif}\;F \leq 7.5 \cdot 10^{+55}:\\
\;\;\;\;\frac{\sqrt{2}}{B\_m} \cdot \left(0 - \sqrt{B\_m \cdot F}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{F}{B\_m}} \cdot \left(0 - \sqrt{2}\right)\\
\end{array}
\end{array}
if F < -2.14999999999999996e-246Initial program 40.2%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified43.3%
Taylor expanded in B around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6443.2%
Simplified43.2%
if -2.14999999999999996e-246 < F < 7.50000000000000014e55Initial program 21.2%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6420.8%
Simplified20.8%
Taylor expanded in C around 0
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f6415.8%
Simplified15.8%
if 7.50000000000000014e55 < F Initial program 17.4%
Taylor expanded in B around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6422.3%
Simplified22.3%
Final simplification21.4%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= F 9.5e-304)
(/
(sqrt (* C (+ (* -16.0 (* A (* C F))) (* (* F (* B_m B_m)) 8.0))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(if (<= F 7.5e+55)
(* (/ (sqrt 2.0) B_m) (- 0.0 (sqrt (* B_m F))))
(* (sqrt (/ F B_m)) (- 0.0 (sqrt 2.0))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (F <= 9.5e-304) {
tmp = sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m));
} else if (F <= 7.5e+55) {
tmp = (sqrt(2.0) / B_m) * (0.0 - sqrt((B_m * F)));
} else {
tmp = sqrt((F / B_m)) * (0.0 - sqrt(2.0));
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: tmp
if (f <= 9.5d-304) then
tmp = sqrt((c * (((-16.0d0) * (a * (c * f))) + ((f * (b_m * b_m)) * 8.0d0)))) / (((4.0d0 * a) * c) - (b_m * b_m))
else if (f <= 7.5d+55) then
tmp = (sqrt(2.0d0) / b_m) * (0.0d0 - sqrt((b_m * f)))
else
tmp = sqrt((f / b_m)) * (0.0d0 - sqrt(2.0d0))
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (F <= 9.5e-304) {
tmp = Math.sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m));
} else if (F <= 7.5e+55) {
tmp = (Math.sqrt(2.0) / B_m) * (0.0 - Math.sqrt((B_m * F)));
} else {
tmp = Math.sqrt((F / B_m)) * (0.0 - Math.sqrt(2.0));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if F <= 9.5e-304: tmp = math.sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m)) elif F <= 7.5e+55: tmp = (math.sqrt(2.0) / B_m) * (0.0 - math.sqrt((B_m * F))) else: tmp = math.sqrt((F / B_m)) * (0.0 - math.sqrt(2.0)) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (F <= 9.5e-304) tmp = Float64(sqrt(Float64(C * Float64(Float64(-16.0 * Float64(A * Float64(C * F))) + Float64(Float64(F * Float64(B_m * B_m)) * 8.0)))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); elseif (F <= 7.5e+55) tmp = Float64(Float64(sqrt(2.0) / B_m) * Float64(0.0 - sqrt(Float64(B_m * F)))); else tmp = Float64(sqrt(Float64(F / B_m)) * Float64(0.0 - sqrt(2.0))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (F <= 9.5e-304) tmp = sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m)); elseif (F <= 7.5e+55) tmp = (sqrt(2.0) / B_m) * (0.0 - sqrt((B_m * F))); else tmp = sqrt((F / B_m)) * (0.0 - sqrt(2.0)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[F, 9.5e-304], N[(N[Sqrt[N[(C * N[(N[(-16.0 * N[(A * N[(C * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(F * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision] * 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[F, 7.5e+55], N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[(0.0 - N[Sqrt[N[(B$95$m * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(F / B$95$m), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;F \leq 9.5 \cdot 10^{-304}:\\
\;\;\;\;\frac{\sqrt{C \cdot \left(-16 \cdot \left(A \cdot \left(C \cdot F\right)\right) + \left(F \cdot \left(B\_m \cdot B\_m\right)\right) \cdot 8\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{elif}\;F \leq 7.5 \cdot 10^{+55}:\\
\;\;\;\;\frac{\sqrt{2}}{B\_m} \cdot \left(0 - \sqrt{B\_m \cdot F}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{F}{B\_m}} \cdot \left(0 - \sqrt{2}\right)\\
\end{array}
\end{array}
if F < 9.50000000000000023e-304Initial program 33.3%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified41.0%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr38.4%
Taylor expanded in A around -inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6423.6%
Simplified23.6%
Taylor expanded in C around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6426.8%
Simplified26.8%
if 9.50000000000000023e-304 < F < 7.50000000000000014e55Initial program 22.2%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6421.8%
Simplified21.8%
Taylor expanded in C around 0
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f6416.5%
Simplified16.5%
if 7.50000000000000014e55 < F Initial program 17.4%
Taylor expanded in B around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6422.3%
Simplified22.3%
Final simplification20.1%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 8e-65)
(/
(sqrt (* C (+ (* -16.0 (* A (* C F))) (* (* F (* B_m B_m)) 8.0))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(* (sqrt (/ F B_m)) (- 0.0 (sqrt 2.0)))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 8e-65) {
tmp = sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = sqrt((F / B_m)) * (0.0 - sqrt(2.0));
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: tmp
if (b_m <= 8d-65) then
tmp = sqrt((c * (((-16.0d0) * (a * (c * f))) + ((f * (b_m * b_m)) * 8.0d0)))) / (((4.0d0 * a) * c) - (b_m * b_m))
else
tmp = sqrt((f / b_m)) * (0.0d0 - sqrt(2.0d0))
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 8e-65) {
tmp = Math.sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = Math.sqrt((F / B_m)) * (0.0 - Math.sqrt(2.0));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 8e-65: tmp = math.sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = math.sqrt((F / B_m)) * (0.0 - math.sqrt(2.0)) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 8e-65) tmp = Float64(sqrt(Float64(C * Float64(Float64(-16.0 * Float64(A * Float64(C * F))) + Float64(Float64(F * Float64(B_m * B_m)) * 8.0)))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(sqrt(Float64(F / B_m)) * Float64(0.0 - sqrt(2.0))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (B_m <= 8e-65) tmp = sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = sqrt((F / B_m)) * (0.0 - sqrt(2.0)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[B$95$m, 8e-65], N[(N[Sqrt[N[(C * N[(N[(-16.0 * N[(A * N[(C * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(F * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision] * 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(F / B$95$m), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 8 \cdot 10^{-65}:\\
\;\;\;\;\frac{\sqrt{C \cdot \left(-16 \cdot \left(A \cdot \left(C \cdot F\right)\right) + \left(F \cdot \left(B\_m \cdot B\_m\right)\right) \cdot 8\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{F}{B\_m}} \cdot \left(0 - \sqrt{2}\right)\\
\end{array}
\end{array}
if B < 7.99999999999999939e-65Initial program 22.2%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified27.5%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr24.5%
Taylor expanded in A around -inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6411.8%
Simplified11.8%
Taylor expanded in C around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6415.6%
Simplified15.6%
if 7.99999999999999939e-65 < B Initial program 22.1%
Taylor expanded in B around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6446.5%
Simplified46.5%
Final simplification24.2%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (- (* (* 4.0 A) C) (* B_m B_m))))
(if (<= C -29000000000.0)
(/ (sqrt (* -16.0 (* F (* A (* A C))))) t_0)
(if (<= C 62.0)
(/ (sqrt (* 2.0 (* F (* B_m (* B_m B_m))))) t_0)
(if (<= C 1.1e+125)
(/ (sqrt (* (* F (* C C)) (* A -16.0))) t_0)
(/ -1.0 (/ B_m (* 2.0 (pow (* C F) 0.5)))))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double t_0 = ((4.0 * A) * C) - (B_m * B_m);
double tmp;
if (C <= -29000000000.0) {
tmp = sqrt((-16.0 * (F * (A * (A * C))))) / t_0;
} else if (C <= 62.0) {
tmp = sqrt((2.0 * (F * (B_m * (B_m * B_m))))) / t_0;
} else if (C <= 1.1e+125) {
tmp = sqrt(((F * (C * C)) * (A * -16.0))) / t_0;
} else {
tmp = -1.0 / (B_m / (2.0 * pow((C * F), 0.5)));
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: t_0
real(8) :: tmp
t_0 = ((4.0d0 * a) * c) - (b_m * b_m)
if (c <= (-29000000000.0d0)) then
tmp = sqrt(((-16.0d0) * (f * (a * (a * c))))) / t_0
else if (c <= 62.0d0) then
tmp = sqrt((2.0d0 * (f * (b_m * (b_m * b_m))))) / t_0
else if (c <= 1.1d+125) then
tmp = sqrt(((f * (c * c)) * (a * (-16.0d0)))) / t_0
else
tmp = (-1.0d0) / (b_m / (2.0d0 * ((c * f) ** 0.5d0)))
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double t_0 = ((4.0 * A) * C) - (B_m * B_m);
double tmp;
if (C <= -29000000000.0) {
tmp = Math.sqrt((-16.0 * (F * (A * (A * C))))) / t_0;
} else if (C <= 62.0) {
tmp = Math.sqrt((2.0 * (F * (B_m * (B_m * B_m))))) / t_0;
} else if (C <= 1.1e+125) {
tmp = Math.sqrt(((F * (C * C)) * (A * -16.0))) / t_0;
} else {
tmp = -1.0 / (B_m / (2.0 * Math.pow((C * F), 0.5)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = ((4.0 * A) * C) - (B_m * B_m) tmp = 0 if C <= -29000000000.0: tmp = math.sqrt((-16.0 * (F * (A * (A * C))))) / t_0 elif C <= 62.0: tmp = math.sqrt((2.0 * (F * (B_m * (B_m * B_m))))) / t_0 elif C <= 1.1e+125: tmp = math.sqrt(((F * (C * C)) * (A * -16.0))) / t_0 else: tmp = -1.0 / (B_m / (2.0 * math.pow((C * F), 0.5))) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m)) tmp = 0.0 if (C <= -29000000000.0) tmp = Float64(sqrt(Float64(-16.0 * Float64(F * Float64(A * Float64(A * C))))) / t_0); elseif (C <= 62.0) tmp = Float64(sqrt(Float64(2.0 * Float64(F * Float64(B_m * Float64(B_m * B_m))))) / t_0); elseif (C <= 1.1e+125) tmp = Float64(sqrt(Float64(Float64(F * Float64(C * C)) * Float64(A * -16.0))) / t_0); else tmp = Float64(-1.0 / Float64(B_m / Float64(2.0 * (Float64(C * F) ^ 0.5)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) t_0 = ((4.0 * A) * C) - (B_m * B_m); tmp = 0.0; if (C <= -29000000000.0) tmp = sqrt((-16.0 * (F * (A * (A * C))))) / t_0; elseif (C <= 62.0) tmp = sqrt((2.0 * (F * (B_m * (B_m * B_m))))) / t_0; elseif (C <= 1.1e+125) tmp = sqrt(((F * (C * C)) * (A * -16.0))) / t_0; else tmp = -1.0 / (B_m / (2.0 * ((C * F) ^ 0.5))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision]
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[C, -29000000000.0], N[(N[Sqrt[N[(-16.0 * N[(F * N[(A * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[C, 62.0], N[(N[Sqrt[N[(2.0 * N[(F * N[(B$95$m * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[C, 1.1e+125], N[(N[Sqrt[N[(N[(F * N[(C * C), $MachinePrecision]), $MachinePrecision] * N[(A * -16.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0), $MachinePrecision], N[(-1.0 / N[(B$95$m / N[(2.0 * N[Power[N[(C * F), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := \left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m\\
\mathbf{if}\;C \leq -29000000000:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(F \cdot \left(A \cdot \left(A \cdot C\right)\right)\right)}}{t\_0}\\
\mathbf{elif}\;C \leq 62:\\
\;\;\;\;\frac{\sqrt{2 \cdot \left(F \cdot \left(B\_m \cdot \left(B\_m \cdot B\_m\right)\right)\right)}}{t\_0}\\
\mathbf{elif}\;C \leq 1.1 \cdot 10^{+125}:\\
\;\;\;\;\frac{\sqrt{\left(F \cdot \left(C \cdot C\right)\right) \cdot \left(A \cdot -16\right)}}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{-1}{\frac{B\_m}{2 \cdot {\left(C \cdot F\right)}^{0.5}}}\\
\end{array}
\end{array}
if C < -2.9e10Initial program 4.6%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified4.9%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6420.2%
Simplified20.2%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6422.0%
Applied egg-rr22.0%
if -2.9e10 < C < 62Initial program 26.7%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified31.5%
Taylor expanded in B around inf
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f647.6%
Simplified7.6%
if 62 < C < 1.09999999999999995e125Initial program 52.0%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified52.0%
Taylor expanded in A around -inf
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6443.0%
Simplified43.0%
if 1.09999999999999995e125 < C Initial program 5.0%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6413.9%
Simplified13.9%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr17.0%
Taylor expanded in C around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f6411.3%
Simplified11.3%
associate-*l/N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
*-commutativeN/A
*-lowering-*.f6411.7%
Applied egg-rr11.7%
Final simplification15.1%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 5.5e-70)
(/
(sqrt (* C (+ (* -16.0 (* A (* C F))) (* (* F (* B_m B_m)) 8.0))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(-
0.0
(sqrt
(/
(+ (* 2.0 (+ F (/ (* C F) B_m))) (/ (* F (* C C)) (* B_m B_m)))
B_m)))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 5.5e-70) {
tmp = sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = 0.0 - sqrt((((2.0 * (F + ((C * F) / B_m))) + ((F * (C * C)) / (B_m * B_m))) / B_m));
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: tmp
if (b_m <= 5.5d-70) then
tmp = sqrt((c * (((-16.0d0) * (a * (c * f))) + ((f * (b_m * b_m)) * 8.0d0)))) / (((4.0d0 * a) * c) - (b_m * b_m))
else
tmp = 0.0d0 - sqrt((((2.0d0 * (f + ((c * f) / b_m))) + ((f * (c * c)) / (b_m * b_m))) / b_m))
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 5.5e-70) {
tmp = Math.sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = 0.0 - Math.sqrt((((2.0 * (F + ((C * F) / B_m))) + ((F * (C * C)) / (B_m * B_m))) / B_m));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 5.5e-70: tmp = math.sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = 0.0 - math.sqrt((((2.0 * (F + ((C * F) / B_m))) + ((F * (C * C)) / (B_m * B_m))) / B_m)) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 5.5e-70) tmp = Float64(sqrt(Float64(C * Float64(Float64(-16.0 * Float64(A * Float64(C * F))) + Float64(Float64(F * Float64(B_m * B_m)) * 8.0)))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(0.0 - sqrt(Float64(Float64(Float64(2.0 * Float64(F + Float64(Float64(C * F) / B_m))) + Float64(Float64(F * Float64(C * C)) / Float64(B_m * B_m))) / B_m))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (B_m <= 5.5e-70) tmp = sqrt((C * ((-16.0 * (A * (C * F))) + ((F * (B_m * B_m)) * 8.0)))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = 0.0 - sqrt((((2.0 * (F + ((C * F) / B_m))) + ((F * (C * C)) / (B_m * B_m))) / B_m)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[B$95$m, 5.5e-70], N[(N[Sqrt[N[(C * N[(N[(-16.0 * N[(A * N[(C * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(F * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision] * 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.0 - N[Sqrt[N[(N[(N[(2.0 * N[(F + N[(N[(C * F), $MachinePrecision] / B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(F * N[(C * C), $MachinePrecision]), $MachinePrecision] / N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / B$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 5.5 \cdot 10^{-70}:\\
\;\;\;\;\frac{\sqrt{C \cdot \left(-16 \cdot \left(A \cdot \left(C \cdot F\right)\right) + \left(F \cdot \left(B\_m \cdot B\_m\right)\right) \cdot 8\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;0 - \sqrt{\frac{2 \cdot \left(F + \frac{C \cdot F}{B\_m}\right) + \frac{F \cdot \left(C \cdot C\right)}{B\_m \cdot B\_m}}{B\_m}}\\
\end{array}
\end{array}
if B < 5.5000000000000001e-70Initial program 22.2%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified27.5%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr24.5%
Taylor expanded in A around -inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6411.8%
Simplified11.8%
Taylor expanded in C around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6415.6%
Simplified15.6%
if 5.5000000000000001e-70 < B Initial program 22.1%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified23.5%
Taylor expanded in B around inf
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
Simplified12.9%
Taylor expanded in A around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
Simplified40.7%
Final simplification22.5%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (- (* (* 4.0 A) C) (* B_m B_m))))
(if (<= B_m 3e-95)
(/ (sqrt (* -16.0 (* F (* A (* A C))))) t_0)
(if (<= B_m 6e+102)
(/ (sqrt (* 2.0 (* F (* B_m (* B_m B_m))))) t_0)
(/ -1.0 (/ B_m (* 2.0 (pow (* C F) 0.5))))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double t_0 = ((4.0 * A) * C) - (B_m * B_m);
double tmp;
if (B_m <= 3e-95) {
tmp = sqrt((-16.0 * (F * (A * (A * C))))) / t_0;
} else if (B_m <= 6e+102) {
tmp = sqrt((2.0 * (F * (B_m * (B_m * B_m))))) / t_0;
} else {
tmp = -1.0 / (B_m / (2.0 * pow((C * F), 0.5)));
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: t_0
real(8) :: tmp
t_0 = ((4.0d0 * a) * c) - (b_m * b_m)
if (b_m <= 3d-95) then
tmp = sqrt(((-16.0d0) * (f * (a * (a * c))))) / t_0
else if (b_m <= 6d+102) then
tmp = sqrt((2.0d0 * (f * (b_m * (b_m * b_m))))) / t_0
else
tmp = (-1.0d0) / (b_m / (2.0d0 * ((c * f) ** 0.5d0)))
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double t_0 = ((4.0 * A) * C) - (B_m * B_m);
double tmp;
if (B_m <= 3e-95) {
tmp = Math.sqrt((-16.0 * (F * (A * (A * C))))) / t_0;
} else if (B_m <= 6e+102) {
tmp = Math.sqrt((2.0 * (F * (B_m * (B_m * B_m))))) / t_0;
} else {
tmp = -1.0 / (B_m / (2.0 * Math.pow((C * F), 0.5)));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = ((4.0 * A) * C) - (B_m * B_m) tmp = 0 if B_m <= 3e-95: tmp = math.sqrt((-16.0 * (F * (A * (A * C))))) / t_0 elif B_m <= 6e+102: tmp = math.sqrt((2.0 * (F * (B_m * (B_m * B_m))))) / t_0 else: tmp = -1.0 / (B_m / (2.0 * math.pow((C * F), 0.5))) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m)) tmp = 0.0 if (B_m <= 3e-95) tmp = Float64(sqrt(Float64(-16.0 * Float64(F * Float64(A * Float64(A * C))))) / t_0); elseif (B_m <= 6e+102) tmp = Float64(sqrt(Float64(2.0 * Float64(F * Float64(B_m * Float64(B_m * B_m))))) / t_0); else tmp = Float64(-1.0 / Float64(B_m / Float64(2.0 * (Float64(C * F) ^ 0.5)))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) t_0 = ((4.0 * A) * C) - (B_m * B_m); tmp = 0.0; if (B_m <= 3e-95) tmp = sqrt((-16.0 * (F * (A * (A * C))))) / t_0; elseif (B_m <= 6e+102) tmp = sqrt((2.0 * (F * (B_m * (B_m * B_m))))) / t_0; else tmp = -1.0 / (B_m / (2.0 * ((C * F) ^ 0.5))); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision]
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[B$95$m, 3e-95], N[(N[Sqrt[N[(-16.0 * N[(F * N[(A * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[B$95$m, 6e+102], N[(N[Sqrt[N[(2.0 * N[(F * N[(B$95$m * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0), $MachinePrecision], N[(-1.0 / N[(B$95$m / N[(2.0 * N[Power[N[(C * F), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := \left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m\\
\mathbf{if}\;B\_m \leq 3 \cdot 10^{-95}:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(F \cdot \left(A \cdot \left(A \cdot C\right)\right)\right)}}{t\_0}\\
\mathbf{elif}\;B\_m \leq 6 \cdot 10^{+102}:\\
\;\;\;\;\frac{\sqrt{2 \cdot \left(F \cdot \left(B\_m \cdot \left(B\_m \cdot B\_m\right)\right)\right)}}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{-1}{\frac{B\_m}{2 \cdot {\left(C \cdot F\right)}^{0.5}}}\\
\end{array}
\end{array}
if B < 3e-95Initial program 21.8%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified27.2%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6410.2%
Simplified10.2%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6412.9%
Applied egg-rr12.9%
if 3e-95 < B < 5.9999999999999996e102Initial program 48.3%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified51.2%
Taylor expanded in B around inf
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6427.0%
Simplified27.0%
if 5.9999999999999996e102 < B Initial program 3.2%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6441.7%
Simplified41.7%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr72.8%
Taylor expanded in C around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f649.6%
Simplified9.6%
associate-*l/N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
*-commutativeN/A
*-lowering-*.f649.8%
Applied egg-rr9.8%
Final simplification14.3%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 8.2e-55)
(/
(sqrt (* (* 2.0 F) (* -8.0 (* A (* C C)))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(-
0.0
(sqrt
(/
(+ (* 2.0 (+ F (/ (* C F) B_m))) (/ (* F (* C C)) (* B_m B_m)))
B_m)))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 8.2e-55) {
tmp = sqrt(((2.0 * F) * (-8.0 * (A * (C * C))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = 0.0 - sqrt((((2.0 * (F + ((C * F) / B_m))) + ((F * (C * C)) / (B_m * B_m))) / B_m));
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: tmp
if (b_m <= 8.2d-55) then
tmp = sqrt(((2.0d0 * f) * ((-8.0d0) * (a * (c * c))))) / (((4.0d0 * a) * c) - (b_m * b_m))
else
tmp = 0.0d0 - sqrt((((2.0d0 * (f + ((c * f) / b_m))) + ((f * (c * c)) / (b_m * b_m))) / b_m))
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 8.2e-55) {
tmp = Math.sqrt(((2.0 * F) * (-8.0 * (A * (C * C))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = 0.0 - Math.sqrt((((2.0 * (F + ((C * F) / B_m))) + ((F * (C * C)) / (B_m * B_m))) / B_m));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 8.2e-55: tmp = math.sqrt(((2.0 * F) * (-8.0 * (A * (C * C))))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = 0.0 - math.sqrt((((2.0 * (F + ((C * F) / B_m))) + ((F * (C * C)) / (B_m * B_m))) / B_m)) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 8.2e-55) tmp = Float64(sqrt(Float64(Float64(2.0 * F) * Float64(-8.0 * Float64(A * Float64(C * C))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(0.0 - sqrt(Float64(Float64(Float64(2.0 * Float64(F + Float64(Float64(C * F) / B_m))) + Float64(Float64(F * Float64(C * C)) / Float64(B_m * B_m))) / B_m))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (B_m <= 8.2e-55) tmp = sqrt(((2.0 * F) * (-8.0 * (A * (C * C))))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = 0.0 - sqrt((((2.0 * (F + ((C * F) / B_m))) + ((F * (C * C)) / (B_m * B_m))) / B_m)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[B$95$m, 8.2e-55], N[(N[Sqrt[N[(N[(2.0 * F), $MachinePrecision] * N[(-8.0 * N[(A * N[(C * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.0 - N[Sqrt[N[(N[(N[(2.0 * N[(F + N[(N[(C * F), $MachinePrecision] / B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(F * N[(C * C), $MachinePrecision]), $MachinePrecision] / N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / B$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 8.2 \cdot 10^{-55}:\\
\;\;\;\;\frac{\sqrt{\left(2 \cdot F\right) \cdot \left(-8 \cdot \left(A \cdot \left(C \cdot C\right)\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;0 - \sqrt{\frac{2 \cdot \left(F + \frac{C \cdot F}{B\_m}\right) + \frac{F \cdot \left(C \cdot C\right)}{B\_m \cdot B\_m}}{B\_m}}\\
\end{array}
\end{array}
if B < 8.1999999999999996e-55Initial program 22.9%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified28.1%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr25.2%
Taylor expanded in A around -inf
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6412.6%
Simplified12.6%
if 8.1999999999999996e-55 < B Initial program 20.0%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified21.6%
Taylor expanded in B around inf
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
Simplified11.8%
Taylor expanded in A around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
Simplified40.9%
Final simplification20.1%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 1.65e-56)
(/
(sqrt (* (* 2.0 F) (* -8.0 (* A (* C C)))))
(- (* (* 4.0 A) C) (* B_m B_m)))
(-
0.0
(sqrt
(/
(+ (* 2.0 (+ F (/ (* A F) B_m))) (/ (* F (* A A)) (* B_m B_m)))
B_m)))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 1.65e-56) {
tmp = sqrt(((2.0 * F) * (-8.0 * (A * (C * C))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = 0.0 - sqrt((((2.0 * (F + ((A * F) / B_m))) + ((F * (A * A)) / (B_m * B_m))) / B_m));
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: tmp
if (b_m <= 1.65d-56) then
tmp = sqrt(((2.0d0 * f) * ((-8.0d0) * (a * (c * c))))) / (((4.0d0 * a) * c) - (b_m * b_m))
else
tmp = 0.0d0 - sqrt((((2.0d0 * (f + ((a * f) / b_m))) + ((f * (a * a)) / (b_m * b_m))) / b_m))
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 1.65e-56) {
tmp = Math.sqrt(((2.0 * F) * (-8.0 * (A * (C * C))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = 0.0 - Math.sqrt((((2.0 * (F + ((A * F) / B_m))) + ((F * (A * A)) / (B_m * B_m))) / B_m));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 1.65e-56: tmp = math.sqrt(((2.0 * F) * (-8.0 * (A * (C * C))))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = 0.0 - math.sqrt((((2.0 * (F + ((A * F) / B_m))) + ((F * (A * A)) / (B_m * B_m))) / B_m)) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 1.65e-56) tmp = Float64(sqrt(Float64(Float64(2.0 * F) * Float64(-8.0 * Float64(A * Float64(C * C))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(0.0 - sqrt(Float64(Float64(Float64(2.0 * Float64(F + Float64(Float64(A * F) / B_m))) + Float64(Float64(F * Float64(A * A)) / Float64(B_m * B_m))) / B_m))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (B_m <= 1.65e-56) tmp = sqrt(((2.0 * F) * (-8.0 * (A * (C * C))))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = 0.0 - sqrt((((2.0 * (F + ((A * F) / B_m))) + ((F * (A * A)) / (B_m * B_m))) / B_m)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[B$95$m, 1.65e-56], N[(N[Sqrt[N[(N[(2.0 * F), $MachinePrecision] * N[(-8.0 * N[(A * N[(C * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.0 - N[Sqrt[N[(N[(N[(2.0 * N[(F + N[(N[(A * F), $MachinePrecision] / B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(F * N[(A * A), $MachinePrecision]), $MachinePrecision] / N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / B$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 1.65 \cdot 10^{-56}:\\
\;\;\;\;\frac{\sqrt{\left(2 \cdot F\right) \cdot \left(-8 \cdot \left(A \cdot \left(C \cdot C\right)\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;0 - \sqrt{\frac{2 \cdot \left(F + \frac{A \cdot F}{B\_m}\right) + \frac{F \cdot \left(A \cdot A\right)}{B\_m \cdot B\_m}}{B\_m}}\\
\end{array}
\end{array}
if B < 1.64999999999999992e-56Initial program 22.9%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified28.1%
*-commutativeN/A
pow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
Applied egg-rr25.2%
Taylor expanded in A around -inf
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6412.6%
Simplified12.6%
if 1.64999999999999992e-56 < B Initial program 20.0%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified21.6%
Taylor expanded in B around inf
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
Simplified11.8%
Taylor expanded in C around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
Simplified36.9%
Final simplification19.1%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (if (<= C 4.4e-61) (/ (sqrt (* -16.0 (* F (* A (* A C))))) (- (* (* 4.0 A) C) (* B_m B_m))) (/ (* 2.0 (pow (* C F) 0.5)) (- 0.0 B_m))))
B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (C <= 4.4e-61) {
tmp = sqrt((-16.0 * (F * (A * (A * C))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = (2.0 * pow((C * F), 0.5)) / (0.0 - B_m);
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: tmp
if (c <= 4.4d-61) then
tmp = sqrt(((-16.0d0) * (f * (a * (a * c))))) / (((4.0d0 * a) * c) - (b_m * b_m))
else
tmp = (2.0d0 * ((c * f) ** 0.5d0)) / (0.0d0 - b_m)
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (C <= 4.4e-61) {
tmp = Math.sqrt((-16.0 * (F * (A * (A * C))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = (2.0 * Math.pow((C * F), 0.5)) / (0.0 - B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if C <= 4.4e-61: tmp = math.sqrt((-16.0 * (F * (A * (A * C))))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = (2.0 * math.pow((C * F), 0.5)) / (0.0 - B_m) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (C <= 4.4e-61) tmp = Float64(sqrt(Float64(-16.0 * Float64(F * Float64(A * Float64(A * C))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(Float64(2.0 * (Float64(C * F) ^ 0.5)) / Float64(0.0 - B_m)); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (C <= 4.4e-61) tmp = sqrt((-16.0 * (F * (A * (A * C))))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = (2.0 * ((C * F) ^ 0.5)) / (0.0 - B_m); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[C, 4.4e-61], N[(N[Sqrt[N[(-16.0 * N[(F * N[(A * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[Power[N[(C * F), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;C \leq 4.4 \cdot 10^{-61}:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(F \cdot \left(A \cdot \left(A \cdot C\right)\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot {\left(C \cdot F\right)}^{0.5}}{0 - B\_m}\\
\end{array}
\end{array}
if C < 4.40000000000000017e-61Initial program 19.1%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified23.0%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6411.1%
Simplified11.1%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6414.0%
Applied egg-rr14.0%
if 4.40000000000000017e-61 < C Initial program 29.0%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6415.4%
Simplified15.4%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr17.5%
Taylor expanded in C around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f6410.0%
Simplified10.0%
associate-*l/N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
*-commutativeN/A
*-lowering-*.f6410.2%
Applied egg-rr10.2%
Final simplification12.8%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (if (<= C 9.6e-61) (/ (sqrt (* -16.0 (* A (* F (* A C))))) (- (* (* 4.0 A) C) (* B_m B_m))) (/ (* 2.0 (pow (* C F) 0.5)) (- 0.0 B_m))))
B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (C <= 9.6e-61) {
tmp = sqrt((-16.0 * (A * (F * (A * C))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = (2.0 * pow((C * F), 0.5)) / (0.0 - B_m);
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: tmp
if (c <= 9.6d-61) then
tmp = sqrt(((-16.0d0) * (a * (f * (a * c))))) / (((4.0d0 * a) * c) - (b_m * b_m))
else
tmp = (2.0d0 * ((c * f) ** 0.5d0)) / (0.0d0 - b_m)
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (C <= 9.6e-61) {
tmp = Math.sqrt((-16.0 * (A * (F * (A * C))))) / (((4.0 * A) * C) - (B_m * B_m));
} else {
tmp = (2.0 * Math.pow((C * F), 0.5)) / (0.0 - B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if C <= 9.6e-61: tmp = math.sqrt((-16.0 * (A * (F * (A * C))))) / (((4.0 * A) * C) - (B_m * B_m)) else: tmp = (2.0 * math.pow((C * F), 0.5)) / (0.0 - B_m) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (C <= 9.6e-61) tmp = Float64(sqrt(Float64(-16.0 * Float64(A * Float64(F * Float64(A * C))))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))); else tmp = Float64(Float64(2.0 * (Float64(C * F) ^ 0.5)) / Float64(0.0 - B_m)); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (C <= 9.6e-61) tmp = sqrt((-16.0 * (A * (F * (A * C))))) / (((4.0 * A) * C) - (B_m * B_m)); else tmp = (2.0 * ((C * F) ^ 0.5)) / (0.0 - B_m); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[C, 9.6e-61], N[(N[Sqrt[N[(-16.0 * N[(A * N[(F * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[Power[N[(C * F), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;C \leq 9.6 \cdot 10^{-61}:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(A \cdot \left(F \cdot \left(A \cdot C\right)\right)\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot {\left(C \cdot F\right)}^{0.5}}{0 - B\_m}\\
\end{array}
\end{array}
if C < 9.6000000000000004e-61Initial program 19.1%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified23.0%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6411.1%
Simplified11.1%
associate-*l*N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6413.4%
Applied egg-rr13.4%
if 9.6000000000000004e-61 < C Initial program 29.0%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6415.4%
Simplified15.4%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr17.5%
Taylor expanded in C around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f6410.0%
Simplified10.0%
associate-*l/N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
*-commutativeN/A
*-lowering-*.f6410.2%
Applied egg-rr10.2%
Final simplification12.4%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (if (<= C -1.05e-304) (* 0.25 (* (sqrt (* B_m F)) (/ 1.0 C))) (/ (* 2.0 (pow (* C F) 0.5)) (- 0.0 B_m))))
B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (C <= -1.05e-304) {
tmp = 0.25 * (sqrt((B_m * F)) * (1.0 / C));
} else {
tmp = (2.0 * pow((C * F), 0.5)) / (0.0 - B_m);
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: tmp
if (c <= (-1.05d-304)) then
tmp = 0.25d0 * (sqrt((b_m * f)) * (1.0d0 / c))
else
tmp = (2.0d0 * ((c * f) ** 0.5d0)) / (0.0d0 - b_m)
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (C <= -1.05e-304) {
tmp = 0.25 * (Math.sqrt((B_m * F)) * (1.0 / C));
} else {
tmp = (2.0 * Math.pow((C * F), 0.5)) / (0.0 - B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if C <= -1.05e-304: tmp = 0.25 * (math.sqrt((B_m * F)) * (1.0 / C)) else: tmp = (2.0 * math.pow((C * F), 0.5)) / (0.0 - B_m) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (C <= -1.05e-304) tmp = Float64(0.25 * Float64(sqrt(Float64(B_m * F)) * Float64(1.0 / C))); else tmp = Float64(Float64(2.0 * (Float64(C * F) ^ 0.5)) / Float64(0.0 - B_m)); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (C <= -1.05e-304) tmp = 0.25 * (sqrt((B_m * F)) * (1.0 / C)); else tmp = (2.0 * ((C * F) ^ 0.5)) / (0.0 - B_m); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[C, -1.05e-304], N[(0.25 * N[(N[Sqrt[N[(B$95$m * F), $MachinePrecision]], $MachinePrecision] * N[(1.0 / C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[Power[N[(C * F), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;C \leq -1.05 \cdot 10^{-304}:\\
\;\;\;\;0.25 \cdot \left(\sqrt{B\_m \cdot F} \cdot \frac{1}{C}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot {\left(C \cdot F\right)}^{0.5}}{0 - B\_m}\\
\end{array}
\end{array}
if C < -1.05000000000000004e-304Initial program 16.9%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified21.0%
Taylor expanded in B around inf
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
Simplified3.2%
Taylor expanded in A around inf
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f642.4%
Simplified2.4%
if -1.05000000000000004e-304 < C Initial program 26.7%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6417.7%
Simplified17.7%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr20.3%
Taylor expanded in C around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f647.4%
Simplified7.4%
associate-*l/N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
*-commutativeN/A
*-lowering-*.f647.5%
Applied egg-rr7.5%
Final simplification5.2%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (if (<= C -1.3e-304) (* 0.25 (* (sqrt (* B_m F)) (/ 1.0 C))) (* (pow (* C F) 0.5) (/ -2.0 B_m))))
B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (C <= -1.3e-304) {
tmp = 0.25 * (sqrt((B_m * F)) * (1.0 / C));
} else {
tmp = pow((C * F), 0.5) * (-2.0 / B_m);
}
return tmp;
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
real(8) :: tmp
if (c <= (-1.3d-304)) then
tmp = 0.25d0 * (sqrt((b_m * f)) * (1.0d0 / c))
else
tmp = ((c * f) ** 0.5d0) * ((-2.0d0) / b_m)
end if
code = tmp
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
double tmp;
if (C <= -1.3e-304) {
tmp = 0.25 * (Math.sqrt((B_m * F)) * (1.0 / C));
} else {
tmp = Math.pow((C * F), 0.5) * (-2.0 / B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if C <= -1.3e-304: tmp = 0.25 * (math.sqrt((B_m * F)) * (1.0 / C)) else: tmp = math.pow((C * F), 0.5) * (-2.0 / B_m) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (C <= -1.3e-304) tmp = Float64(0.25 * Float64(sqrt(Float64(B_m * F)) * Float64(1.0 / C))); else tmp = Float64((Float64(C * F) ^ 0.5) * Float64(-2.0 / B_m)); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) tmp = 0.0; if (C <= -1.3e-304) tmp = 0.25 * (sqrt((B_m * F)) * (1.0 / C)); else tmp = ((C * F) ^ 0.5) * (-2.0 / B_m); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[C, -1.3e-304], N[(0.25 * N[(N[Sqrt[N[(B$95$m * F), $MachinePrecision]], $MachinePrecision] * N[(1.0 / C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(C * F), $MachinePrecision], 0.5], $MachinePrecision] * N[(-2.0 / B$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;C \leq -1.3 \cdot 10^{-304}:\\
\;\;\;\;0.25 \cdot \left(\sqrt{B\_m \cdot F} \cdot \frac{1}{C}\right)\\
\mathbf{else}:\\
\;\;\;\;{\left(C \cdot F\right)}^{0.5} \cdot \frac{-2}{B\_m}\\
\end{array}
\end{array}
if C < -1.29999999999999998e-304Initial program 16.9%
distribute-frac-negN/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
Simplified21.0%
Taylor expanded in B around inf
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
Simplified3.2%
Taylor expanded in A around inf
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f642.4%
Simplified2.4%
if -1.29999999999999998e-304 < C Initial program 26.7%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6417.7%
Simplified17.7%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr20.3%
Taylor expanded in C around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f647.4%
Simplified7.4%
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
metadata-eval7.5%
Applied egg-rr7.5%
Final simplification5.2%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (* (sqrt (* C F)) (- 0.0 (/ 2.0 B_m))))
B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
return sqrt((C * F)) * (0.0 - (2.0 / B_m));
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
code = sqrt((c * f)) * (0.0d0 - (2.0d0 / b_m))
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
return Math.sqrt((C * F)) * (0.0 - (2.0 / B_m));
}
B_m = math.fabs(B) def code(A, B_m, C, F): return math.sqrt((C * F)) * (0.0 - (2.0 / B_m))
B_m = abs(B) function code(A, B_m, C, F) return Float64(sqrt(Float64(C * F)) * Float64(0.0 - Float64(2.0 / B_m))) end
B_m = abs(B); function tmp = code(A, B_m, C, F) tmp = sqrt((C * F)) * (0.0 - (2.0 / B_m)); end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := N[(N[Sqrt[N[(C * F), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[(2.0 / B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
\sqrt{C \cdot F} \cdot \left(0 - \frac{2}{B\_m}\right)
\end{array}
Initial program 22.2%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6416.0%
Simplified16.0%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr21.6%
Taylor expanded in C around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f644.3%
Simplified4.3%
Final simplification4.3%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (* (pow (* C F) 0.5) (/ -2.0 B_m)))
B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
return pow((C * F), 0.5) * (-2.0 / B_m);
}
B_m = abs(b)
real(8) function code(a, b_m, c, f)
real(8), intent (in) :: a
real(8), intent (in) :: b_m
real(8), intent (in) :: c
real(8), intent (in) :: f
code = ((c * f) ** 0.5d0) * ((-2.0d0) / b_m)
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
return Math.pow((C * F), 0.5) * (-2.0 / B_m);
}
B_m = math.fabs(B) def code(A, B_m, C, F): return math.pow((C * F), 0.5) * (-2.0 / B_m)
B_m = abs(B) function code(A, B_m, C, F) return Float64((Float64(C * F) ^ 0.5) * Float64(-2.0 / B_m)) end
B_m = abs(B); function tmp = code(A, B_m, C, F) tmp = ((C * F) ^ 0.5) * (-2.0 / B_m); end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := N[(N[Power[N[(C * F), $MachinePrecision], 0.5], $MachinePrecision] * N[(-2.0 / B$95$m), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
{\left(C \cdot F\right)}^{0.5} \cdot \frac{-2}{B\_m}
\end{array}
Initial program 22.2%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6416.0%
Simplified16.0%
*-commutativeN/A
pow1/2N/A
unpow-prod-downN/A
associate-*l*N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Applied egg-rr21.6%
Taylor expanded in C around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f644.3%
Simplified4.3%
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
metadata-eval4.5%
Applied egg-rr4.5%
Final simplification4.5%
herbie shell --seed 2024152
(FPCore (A B C F)
:name "ABCF->ab-angle a"
:precision binary64
(/ (- (sqrt (* (* 2.0 (* (- (pow B 2.0) (* (* 4.0 A) C)) F)) (+ (+ A C) (sqrt (+ (pow (- A C) 2.0) (pow B 2.0))))))) (- (pow B 2.0) (* (* 4.0 A) C))))