
(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 18 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) (* -4.0 (* A C))))
(t_1 (- (+ A C) (hypot B_m (- A C))))
(t_2 (- (* 4.0 (* A C)) (* B_m B_m)))
(t_3 (* (* 4.0 A) C))
(t_4
(/
(sqrt
(*
(* 2.0 (* (- (pow B_m 2.0) t_3) F))
(- (+ A C) (sqrt (+ (pow B_m 2.0) (pow (- A C) 2.0))))))
(- t_3 (pow B_m 2.0)))))
(if (<= t_4 -2e-197)
(/ (* (sqrt t_0) (sqrt (* t_1 (* 2.0 F)))) t_2)
(if (<= t_4 0.0)
(/ (sqrt (* (* A -8.0) (* (* C F) (+ C C)))) (* -4.0 (- 0.0 (* A C))))
(if (<= t_4 INFINITY)
(/ (* (pow (* 2.0 F) 0.5) (sqrt (* t_0 t_1))) t_2)
(/ (pow (* 2.0 (* F (- C (hypot B_m C)))) 0.5) (- 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) + (-4.0 * (A * C));
double t_1 = (A + C) - hypot(B_m, (A - C));
double t_2 = (4.0 * (A * C)) - (B_m * B_m);
double t_3 = (4.0 * A) * C;
double t_4 = sqrt(((2.0 * ((pow(B_m, 2.0) - t_3) * F)) * ((A + C) - sqrt((pow(B_m, 2.0) + pow((A - C), 2.0)))))) / (t_3 - pow(B_m, 2.0));
double tmp;
if (t_4 <= -2e-197) {
tmp = (sqrt(t_0) * sqrt((t_1 * (2.0 * F)))) / t_2;
} else if (t_4 <= 0.0) {
tmp = sqrt(((A * -8.0) * ((C * F) * (C + C)))) / (-4.0 * (0.0 - (A * C)));
} else if (t_4 <= ((double) INFINITY)) {
tmp = (pow((2.0 * F), 0.5) * sqrt((t_0 * t_1))) / t_2;
} else {
tmp = pow((2.0 * (F * (C - hypot(B_m, C)))), 0.5) / (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) + (-4.0 * (A * C));
double t_1 = (A + C) - Math.hypot(B_m, (A - C));
double t_2 = (4.0 * (A * C)) - (B_m * B_m);
double t_3 = (4.0 * A) * C;
double t_4 = Math.sqrt(((2.0 * ((Math.pow(B_m, 2.0) - t_3) * F)) * ((A + C) - Math.sqrt((Math.pow(B_m, 2.0) + Math.pow((A - C), 2.0)))))) / (t_3 - Math.pow(B_m, 2.0));
double tmp;
if (t_4 <= -2e-197) {
tmp = (Math.sqrt(t_0) * Math.sqrt((t_1 * (2.0 * F)))) / t_2;
} else if (t_4 <= 0.0) {
tmp = Math.sqrt(((A * -8.0) * ((C * F) * (C + C)))) / (-4.0 * (0.0 - (A * C)));
} else if (t_4 <= Double.POSITIVE_INFINITY) {
tmp = (Math.pow((2.0 * F), 0.5) * Math.sqrt((t_0 * t_1))) / t_2;
} else {
tmp = Math.pow((2.0 * (F * (C - Math.hypot(B_m, C)))), 0.5) / (0.0 - B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = (B_m * B_m) + (-4.0 * (A * C)) t_1 = (A + C) - math.hypot(B_m, (A - C)) t_2 = (4.0 * (A * C)) - (B_m * B_m) t_3 = (4.0 * A) * C t_4 = math.sqrt(((2.0 * ((math.pow(B_m, 2.0) - t_3) * F)) * ((A + C) - math.sqrt((math.pow(B_m, 2.0) + math.pow((A - C), 2.0)))))) / (t_3 - math.pow(B_m, 2.0)) tmp = 0 if t_4 <= -2e-197: tmp = (math.sqrt(t_0) * math.sqrt((t_1 * (2.0 * F)))) / t_2 elif t_4 <= 0.0: tmp = math.sqrt(((A * -8.0) * ((C * F) * (C + C)))) / (-4.0 * (0.0 - (A * C))) elif t_4 <= math.inf: tmp = (math.pow((2.0 * F), 0.5) * math.sqrt((t_0 * t_1))) / t_2 else: tmp = math.pow((2.0 * (F * (C - math.hypot(B_m, C)))), 0.5) / (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(-4.0 * Float64(A * C))) t_1 = Float64(Float64(A + C) - hypot(B_m, Float64(A - C))) t_2 = Float64(Float64(4.0 * Float64(A * C)) - Float64(B_m * B_m)) t_3 = Float64(Float64(4.0 * A) * C) t_4 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B_m ^ 2.0) - t_3) * F)) * Float64(Float64(A + C) - sqrt(Float64((B_m ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_3 - (B_m ^ 2.0))) tmp = 0.0 if (t_4 <= -2e-197) tmp = Float64(Float64(sqrt(t_0) * sqrt(Float64(t_1 * Float64(2.0 * F)))) / t_2); elseif (t_4 <= 0.0) tmp = Float64(sqrt(Float64(Float64(A * -8.0) * Float64(Float64(C * F) * Float64(C + C)))) / Float64(-4.0 * Float64(0.0 - Float64(A * C)))); elseif (t_4 <= Inf) tmp = Float64(Float64((Float64(2.0 * F) ^ 0.5) * sqrt(Float64(t_0 * t_1))) / t_2); else tmp = Float64((Float64(2.0 * Float64(F * Float64(C - hypot(B_m, C)))) ^ 0.5) / 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) + (-4.0 * (A * C)); t_1 = (A + C) - hypot(B_m, (A - C)); t_2 = (4.0 * (A * C)) - (B_m * B_m); t_3 = (4.0 * A) * C; t_4 = sqrt(((2.0 * (((B_m ^ 2.0) - t_3) * F)) * ((A + C) - sqrt(((B_m ^ 2.0) + ((A - C) ^ 2.0)))))) / (t_3 - (B_m ^ 2.0)); tmp = 0.0; if (t_4 <= -2e-197) tmp = (sqrt(t_0) * sqrt((t_1 * (2.0 * F)))) / t_2; elseif (t_4 <= 0.0) tmp = sqrt(((A * -8.0) * ((C * F) * (C + C)))) / (-4.0 * (0.0 - (A * C))); elseif (t_4 <= Inf) tmp = (((2.0 * F) ^ 0.5) * sqrt((t_0 * t_1))) / t_2; else tmp = ((2.0 * (F * (C - hypot(B_m, C)))) ^ 0.5) / (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[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(A + C), $MachinePrecision] - N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B$95$m, 2.0], $MachinePrecision] - t$95$3), $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$3 - N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, -2e-197], N[(N[(N[Sqrt[t$95$0], $MachinePrecision] * N[Sqrt[N[(t$95$1 * N[(2.0 * F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], If[LessEqual[t$95$4, 0.0], N[(N[Sqrt[N[(N[(A * -8.0), $MachinePrecision] * N[(N[(C * F), $MachinePrecision] * N[(C + C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(-4.0 * N[(0.0 - N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, Infinity], N[(N[(N[Power[N[(2.0 * F), $MachinePrecision], 0.5], $MachinePrecision] * N[Sqrt[N[(t$95$0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], N[(N[Power[N[(2.0 * N[(F * N[(C - N[Sqrt[B$95$m ^ 2 + C ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)\\
t_1 := \left(A + C\right) - \mathsf{hypot}\left(B\_m, A - C\right)\\
t_2 := 4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m\\
t_3 := \left(4 \cdot A\right) \cdot C\\
t_4 := \frac{\sqrt{\left(2 \cdot \left(\left({B\_m}^{2} - t\_3\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B\_m}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_3 - {B\_m}^{2}}\\
\mathbf{if}\;t\_4 \leq -2 \cdot 10^{-197}:\\
\;\;\;\;\frac{\sqrt{t\_0} \cdot \sqrt{t\_1 \cdot \left(2 \cdot F\right)}}{t\_2}\\
\mathbf{elif}\;t\_4 \leq 0:\\
\;\;\;\;\frac{\sqrt{\left(A \cdot -8\right) \cdot \left(\left(C \cdot F\right) \cdot \left(C + C\right)\right)}}{-4 \cdot \left(0 - A \cdot C\right)}\\
\mathbf{elif}\;t\_4 \leq \infty:\\
\;\;\;\;\frac{{\left(2 \cdot F\right)}^{0.5} \cdot \sqrt{t\_0 \cdot t\_1}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(2 \cdot \left(F \cdot \left(C - \mathsf{hypot}\left(B\_m, C\right)\right)\right)\right)}^{0.5}}{0 - B\_m}\\
\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))) < -2e-197Initial program 40.2%
Simplified53.1%
pow1/2N/A
unpow-prod-downN/A
*-lowering-*.f64N/A
Applied egg-rr67.3%
if -2e-197 < (/.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))) < 0.0Initial program 3.4%
Taylor expanded in A around inf
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f6427.0%
Simplified27.0%
Taylor expanded in B around 0
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6434.4%
Simplified34.4%
if 0.0 < (/.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 44.4%
Simplified50.0%
pow1/2N/A
associate-*r*N/A
*-commutativeN/A
unpow-prod-downN/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
Applied egg-rr60.6%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6419.6%
Simplified19.6%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr19.7%
Final simplification40.1%
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 1.65e-242)
(/ (sqrt (* -16.0 (* (* C F) (* A C)))) t_0)
(if (<= B_m 6.8e-102)
(* (sqrt (* -0.5 (/ F A))) (- 0.0 (sqrt 2.0)))
(if (<= B_m 2.7e+103)
(/
(*
(sqrt (+ (* B_m B_m) (* -4.0 (* A C))))
(sqrt (* (- (+ A C) (hypot B_m (- A C))) (* 2.0 F))))
t_0)
(if (<= B_m 9e+272)
(/ -1.0 (/ B_m (sqrt (* (* 2.0 F) (- C (hypot C B_m))))))
(- 0.0 (* (sqrt 2.0) (sqrt (/ F (- 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 <= 1.65e-242) {
tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / t_0;
} else if (B_m <= 6.8e-102) {
tmp = sqrt((-0.5 * (F / A))) * (0.0 - sqrt(2.0));
} else if (B_m <= 2.7e+103) {
tmp = (sqrt(((B_m * B_m) + (-4.0 * (A * C)))) * sqrt((((A + C) - hypot(B_m, (A - C))) * (2.0 * F)))) / t_0;
} else if (B_m <= 9e+272) {
tmp = -1.0 / (B_m / sqrt(((2.0 * F) * (C - hypot(C, B_m)))));
} else {
tmp = 0.0 - (sqrt(2.0) * sqrt((F / (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 <= 1.65e-242) {
tmp = Math.sqrt((-16.0 * ((C * F) * (A * C)))) / t_0;
} else if (B_m <= 6.8e-102) {
tmp = Math.sqrt((-0.5 * (F / A))) * (0.0 - Math.sqrt(2.0));
} else if (B_m <= 2.7e+103) {
tmp = (Math.sqrt(((B_m * B_m) + (-4.0 * (A * C)))) * Math.sqrt((((A + C) - Math.hypot(B_m, (A - C))) * (2.0 * F)))) / t_0;
} else if (B_m <= 9e+272) {
tmp = -1.0 / (B_m / Math.sqrt(((2.0 * F) * (C - Math.hypot(C, B_m)))));
} else {
tmp = 0.0 - (Math.sqrt(2.0) * Math.sqrt((F / (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 <= 1.65e-242: tmp = math.sqrt((-16.0 * ((C * F) * (A * C)))) / t_0 elif B_m <= 6.8e-102: tmp = math.sqrt((-0.5 * (F / A))) * (0.0 - math.sqrt(2.0)) elif B_m <= 2.7e+103: tmp = (math.sqrt(((B_m * B_m) + (-4.0 * (A * C)))) * math.sqrt((((A + C) - math.hypot(B_m, (A - C))) * (2.0 * F)))) / t_0 elif B_m <= 9e+272: tmp = -1.0 / (B_m / math.sqrt(((2.0 * F) * (C - math.hypot(C, B_m))))) else: tmp = 0.0 - (math.sqrt(2.0) * math.sqrt((F / (0.0 - B_m)))) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = Float64(Float64(4.0 * Float64(A * C)) - Float64(B_m * B_m)) tmp = 0.0 if (B_m <= 1.65e-242) tmp = Float64(sqrt(Float64(-16.0 * Float64(Float64(C * F) * Float64(A * C)))) / t_0); elseif (B_m <= 6.8e-102) tmp = Float64(sqrt(Float64(-0.5 * Float64(F / A))) * Float64(0.0 - sqrt(2.0))); elseif (B_m <= 2.7e+103) tmp = Float64(Float64(sqrt(Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C)))) * sqrt(Float64(Float64(Float64(A + C) - hypot(B_m, Float64(A - C))) * Float64(2.0 * F)))) / t_0); elseif (B_m <= 9e+272) tmp = Float64(-1.0 / Float64(B_m / sqrt(Float64(Float64(2.0 * F) * Float64(C - hypot(C, B_m)))))); else tmp = Float64(0.0 - Float64(sqrt(2.0) * sqrt(Float64(F / 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 <= 1.65e-242) tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / t_0; elseif (B_m <= 6.8e-102) tmp = sqrt((-0.5 * (F / A))) * (0.0 - sqrt(2.0)); elseif (B_m <= 2.7e+103) tmp = (sqrt(((B_m * B_m) + (-4.0 * (A * C)))) * sqrt((((A + C) - hypot(B_m, (A - C))) * (2.0 * F)))) / t_0; elseif (B_m <= 9e+272) tmp = -1.0 / (B_m / sqrt(((2.0 * F) * (C - hypot(C, B_m))))); else tmp = 0.0 - (sqrt(2.0) * sqrt((F / (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[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[B$95$m, 1.65e-242], N[(N[Sqrt[N[(-16.0 * N[(N[(C * F), $MachinePrecision] * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[B$95$m, 6.8e-102], N[(N[Sqrt[N[(-0.5 * N[(F / A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[B$95$m, 2.7e+103], N[(N[(N[Sqrt[N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(N[(N[(A + C), $MachinePrecision] - N[Sqrt[B$95$m ^ 2 + N[(A - C), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] * N[(2.0 * F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[B$95$m, 9e+272], N[(-1.0 / N[(B$95$m / N[Sqrt[N[(N[(2.0 * F), $MachinePrecision] * N[(C - N[Sqrt[C ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.0 - N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[N[(F / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := 4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m\\
\mathbf{if}\;B\_m \leq 1.65 \cdot 10^{-242}:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(\left(C \cdot F\right) \cdot \left(A \cdot C\right)\right)}}{t\_0}\\
\mathbf{elif}\;B\_m \leq 6.8 \cdot 10^{-102}:\\
\;\;\;\;\sqrt{-0.5 \cdot \frac{F}{A}} \cdot \left(0 - \sqrt{2}\right)\\
\mathbf{elif}\;B\_m \leq 2.7 \cdot 10^{+103}:\\
\;\;\;\;\frac{\sqrt{B\_m \cdot B\_m + -4 \cdot \left(A \cdot C\right)} \cdot \sqrt{\left(\left(A + C\right) - \mathsf{hypot}\left(B\_m, A - C\right)\right) \cdot \left(2 \cdot F\right)}}{t\_0}\\
\mathbf{elif}\;B\_m \leq 9 \cdot 10^{+272}:\\
\;\;\;\;\frac{-1}{\frac{B\_m}{\sqrt{\left(2 \cdot F\right) \cdot \left(C - \mathsf{hypot}\left(C, B\_m\right)\right)}}}\\
\mathbf{else}:\\
\;\;\;\;0 - \sqrt{2} \cdot \sqrt{\frac{F}{0 - B\_m}}\\
\end{array}
\end{array}
if B < 1.64999999999999991e-242Initial program 14.8%
Simplified20.8%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6413.4%
Simplified13.4%
associate-*r*N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6416.9%
Applied egg-rr16.9%
if 1.64999999999999991e-242 < B < 6.80000000000000026e-102Initial program 16.5%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified23.0%
Taylor expanded in C around -inf
*-lowering-*.f64N/A
/-lowering-/.f6432.2%
Simplified32.2%
if 6.80000000000000026e-102 < B < 2.69999999999999993e103Initial program 34.0%
Simplified42.1%
pow1/2N/A
unpow-prod-downN/A
*-lowering-*.f64N/A
Applied egg-rr46.4%
if 2.69999999999999993e103 < B < 9.00000000000000059e272Initial 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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6457.3%
Simplified57.3%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr57.5%
neg-mul-1N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
*-lowering-*.f6457.6%
Applied egg-rr57.6%
if 9.00000000000000059e272 < B Initial program 0.0%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified1.1%
Taylor expanded in B around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6484.2%
Simplified84.2%
Final simplification32.0%
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 1.4e-242)
(/ (sqrt (* -16.0 (* (* C F) (* A C)))) t_0)
(if (<= B_m 9.4e-171)
(* (sqrt (* -0.5 (/ F A))) (- 0.0 (sqrt 2.0)))
(if (<= B_m 3.9e+52)
(/
(sqrt
(*
(+ (* B_m B_m) (* -4.0 (* A C)))
(* (* 2.0 F) (+ A (- C (hypot B_m (- A C)))))))
t_0)
(if (<= B_m 1e+271)
(/ -1.0 (/ B_m (sqrt (* (* 2.0 F) (- C (hypot C B_m))))))
(- 0.0 (* (sqrt 2.0) (sqrt (/ F (- 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 <= 1.4e-242) {
tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / t_0;
} else if (B_m <= 9.4e-171) {
tmp = sqrt((-0.5 * (F / A))) * (0.0 - sqrt(2.0));
} else if (B_m <= 3.9e+52) {
tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (A + (C - hypot(B_m, (A - C))))))) / t_0;
} else if (B_m <= 1e+271) {
tmp = -1.0 / (B_m / sqrt(((2.0 * F) * (C - hypot(C, B_m)))));
} else {
tmp = 0.0 - (sqrt(2.0) * sqrt((F / (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 <= 1.4e-242) {
tmp = Math.sqrt((-16.0 * ((C * F) * (A * C)))) / t_0;
} else if (B_m <= 9.4e-171) {
tmp = Math.sqrt((-0.5 * (F / A))) * (0.0 - Math.sqrt(2.0));
} else if (B_m <= 3.9e+52) {
tmp = Math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (A + (C - Math.hypot(B_m, (A - C))))))) / t_0;
} else if (B_m <= 1e+271) {
tmp = -1.0 / (B_m / Math.sqrt(((2.0 * F) * (C - Math.hypot(C, B_m)))));
} else {
tmp = 0.0 - (Math.sqrt(2.0) * Math.sqrt((F / (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 <= 1.4e-242: tmp = math.sqrt((-16.0 * ((C * F) * (A * C)))) / t_0 elif B_m <= 9.4e-171: tmp = math.sqrt((-0.5 * (F / A))) * (0.0 - math.sqrt(2.0)) elif B_m <= 3.9e+52: tmp = math.sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (A + (C - math.hypot(B_m, (A - C))))))) / t_0 elif B_m <= 1e+271: tmp = -1.0 / (B_m / math.sqrt(((2.0 * F) * (C - math.hypot(C, B_m))))) else: tmp = 0.0 - (math.sqrt(2.0) * math.sqrt((F / (0.0 - B_m)))) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = Float64(Float64(4.0 * Float64(A * C)) - Float64(B_m * B_m)) tmp = 0.0 if (B_m <= 1.4e-242) tmp = Float64(sqrt(Float64(-16.0 * Float64(Float64(C * F) * Float64(A * C)))) / t_0); elseif (B_m <= 9.4e-171) tmp = Float64(sqrt(Float64(-0.5 * Float64(F / A))) * Float64(0.0 - sqrt(2.0))); elseif (B_m <= 3.9e+52) tmp = Float64(sqrt(Float64(Float64(Float64(B_m * B_m) + Float64(-4.0 * Float64(A * C))) * Float64(Float64(2.0 * F) * Float64(A + Float64(C - hypot(B_m, Float64(A - C))))))) / t_0); elseif (B_m <= 1e+271) tmp = Float64(-1.0 / Float64(B_m / sqrt(Float64(Float64(2.0 * F) * Float64(C - hypot(C, B_m)))))); else tmp = Float64(0.0 - Float64(sqrt(2.0) * sqrt(Float64(F / 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 <= 1.4e-242) tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / t_0; elseif (B_m <= 9.4e-171) tmp = sqrt((-0.5 * (F / A))) * (0.0 - sqrt(2.0)); elseif (B_m <= 3.9e+52) tmp = sqrt((((B_m * B_m) + (-4.0 * (A * C))) * ((2.0 * F) * (A + (C - hypot(B_m, (A - C))))))) / t_0; elseif (B_m <= 1e+271) tmp = -1.0 / (B_m / sqrt(((2.0 * F) * (C - hypot(C, B_m))))); else tmp = 0.0 - (sqrt(2.0) * sqrt((F / (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[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[B$95$m, 1.4e-242], N[(N[Sqrt[N[(-16.0 * N[(N[(C * F), $MachinePrecision] * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0), $MachinePrecision], If[LessEqual[B$95$m, 9.4e-171], N[(N[Sqrt[N[(-0.5 * N[(F / A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[B$95$m, 3.9e+52], 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[(A + N[(C - 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, 1e+271], N[(-1.0 / N[(B$95$m / N[Sqrt[N[(N[(2.0 * F), $MachinePrecision] * N[(C - N[Sqrt[C ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.0 - N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[N[(F / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := 4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m\\
\mathbf{if}\;B\_m \leq 1.4 \cdot 10^{-242}:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(\left(C \cdot F\right) \cdot \left(A \cdot C\right)\right)}}{t\_0}\\
\mathbf{elif}\;B\_m \leq 9.4 \cdot 10^{-171}:\\
\;\;\;\;\sqrt{-0.5 \cdot \frac{F}{A}} \cdot \left(0 - \sqrt{2}\right)\\
\mathbf{elif}\;B\_m \leq 3.9 \cdot 10^{+52}:\\
\;\;\;\;\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(A + \left(C - \mathsf{hypot}\left(B\_m, A - C\right)\right)\right)\right)}}{t\_0}\\
\mathbf{elif}\;B\_m \leq 10^{+271}:\\
\;\;\;\;\frac{-1}{\frac{B\_m}{\sqrt{\left(2 \cdot F\right) \cdot \left(C - \mathsf{hypot}\left(C, B\_m\right)\right)}}}\\
\mathbf{else}:\\
\;\;\;\;0 - \sqrt{2} \cdot \sqrt{\frac{F}{0 - B\_m}}\\
\end{array}
\end{array}
if B < 1.39999999999999992e-242Initial program 14.8%
Simplified20.8%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6413.4%
Simplified13.4%
associate-*r*N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6416.9%
Applied egg-rr16.9%
if 1.39999999999999992e-242 < B < 9.39999999999999929e-171Initial program 10.4%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified16.1%
Taylor expanded in C around -inf
*-lowering-*.f64N/A
/-lowering-/.f6436.4%
Simplified36.4%
if 9.39999999999999929e-171 < B < 3.9e52Initial program 35.5%
Simplified45.8%
if 3.9e52 < B < 9.99999999999999953e270Initial program 8.1%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6452.4%
Simplified52.4%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr52.6%
neg-mul-1N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
*-lowering-*.f6452.6%
Applied egg-rr52.6%
if 9.99999999999999953e270 < B Initial program 0.0%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified1.1%
Taylor expanded in B around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6484.2%
Simplified84.2%
Final simplification32.5%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 1.9e-242)
(/ (sqrt (* -16.0 (* (* C F) (* A C)))) (- (* 4.0 (* A C)) (* B_m B_m)))
(if (<= B_m 6.8e-102)
(* (sqrt (* -0.5 (/ F A))) (- 0.0 (sqrt 2.0)))
(if (<= B_m 3.05e+97)
(-
0.0
(sqrt
(/
(* (* 2.0 F) (+ C (- A (hypot B_m (- A C)))))
(+ (* B_m B_m) (* C (* A -4.0))))))
(if (<= B_m 2.2e+272)
(/ -1.0 (/ B_m (sqrt (* (* 2.0 F) (- C (hypot C B_m))))))
(- 0.0 (* (sqrt 2.0) (sqrt (/ F (- 0.0 B_m))))))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (B_m <= 1.9e-242) {
tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m));
} else if (B_m <= 6.8e-102) {
tmp = sqrt((-0.5 * (F / A))) * (0.0 - sqrt(2.0));
} else if (B_m <= 3.05e+97) {
tmp = 0.0 - sqrt((((2.0 * F) * (C + (A - hypot(B_m, (A - C))))) / ((B_m * B_m) + (C * (A * -4.0)))));
} else if (B_m <= 2.2e+272) {
tmp = -1.0 / (B_m / sqrt(((2.0 * F) * (C - hypot(C, B_m)))));
} else {
tmp = 0.0 - (sqrt(2.0) * sqrt((F / (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 <= 1.9e-242) {
tmp = Math.sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m));
} else if (B_m <= 6.8e-102) {
tmp = Math.sqrt((-0.5 * (F / A))) * (0.0 - Math.sqrt(2.0));
} else if (B_m <= 3.05e+97) {
tmp = 0.0 - Math.sqrt((((2.0 * F) * (C + (A - Math.hypot(B_m, (A - C))))) / ((B_m * B_m) + (C * (A * -4.0)))));
} else if (B_m <= 2.2e+272) {
tmp = -1.0 / (B_m / Math.sqrt(((2.0 * F) * (C - Math.hypot(C, B_m)))));
} else {
tmp = 0.0 - (Math.sqrt(2.0) * Math.sqrt((F / (0.0 - B_m))));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 1.9e-242: tmp = math.sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m)) elif B_m <= 6.8e-102: tmp = math.sqrt((-0.5 * (F / A))) * (0.0 - math.sqrt(2.0)) elif B_m <= 3.05e+97: tmp = 0.0 - math.sqrt((((2.0 * F) * (C + (A - math.hypot(B_m, (A - C))))) / ((B_m * B_m) + (C * (A * -4.0))))) elif B_m <= 2.2e+272: tmp = -1.0 / (B_m / math.sqrt(((2.0 * F) * (C - math.hypot(C, B_m))))) else: tmp = 0.0 - (math.sqrt(2.0) * math.sqrt((F / (0.0 - B_m)))) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 1.9e-242) tmp = Float64(sqrt(Float64(-16.0 * Float64(Float64(C * F) * Float64(A * C)))) / Float64(Float64(4.0 * Float64(A * C)) - Float64(B_m * B_m))); elseif (B_m <= 6.8e-102) tmp = Float64(sqrt(Float64(-0.5 * Float64(F / A))) * Float64(0.0 - sqrt(2.0))); elseif (B_m <= 3.05e+97) tmp = Float64(0.0 - sqrt(Float64(Float64(Float64(2.0 * F) * Float64(C + Float64(A - hypot(B_m, Float64(A - C))))) / Float64(Float64(B_m * B_m) + Float64(C * Float64(A * -4.0)))))); elseif (B_m <= 2.2e+272) tmp = Float64(-1.0 / Float64(B_m / sqrt(Float64(Float64(2.0 * F) * Float64(C - hypot(C, B_m)))))); else tmp = Float64(0.0 - Float64(sqrt(2.0) * sqrt(Float64(F / 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 <= 1.9e-242) tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m)); elseif (B_m <= 6.8e-102) tmp = sqrt((-0.5 * (F / A))) * (0.0 - sqrt(2.0)); elseif (B_m <= 3.05e+97) tmp = 0.0 - sqrt((((2.0 * F) * (C + (A - hypot(B_m, (A - C))))) / ((B_m * B_m) + (C * (A * -4.0))))); elseif (B_m <= 2.2e+272) tmp = -1.0 / (B_m / sqrt(((2.0 * F) * (C - hypot(C, B_m))))); else tmp = 0.0 - (sqrt(2.0) * sqrt((F / (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, 1.9e-242], N[(N[Sqrt[N[(-16.0 * N[(N[(C * F), $MachinePrecision] * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[B$95$m, 6.8e-102], N[(N[Sqrt[N[(-0.5 * N[(F / A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[B$95$m, 3.05e+97], N[(0.0 - N[Sqrt[N[(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] / N[(N[(B$95$m * B$95$m), $MachinePrecision] + N[(C * N[(A * -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[B$95$m, 2.2e+272], N[(-1.0 / N[(B$95$m / N[Sqrt[N[(N[(2.0 * F), $MachinePrecision] * N[(C - N[Sqrt[C ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.0 - N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[N[(F / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 1.9 \cdot 10^{-242}:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(\left(C \cdot F\right) \cdot \left(A \cdot C\right)\right)}}{4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m}\\
\mathbf{elif}\;B\_m \leq 6.8 \cdot 10^{-102}:\\
\;\;\;\;\sqrt{-0.5 \cdot \frac{F}{A}} \cdot \left(0 - \sqrt{2}\right)\\
\mathbf{elif}\;B\_m \leq 3.05 \cdot 10^{+97}:\\
\;\;\;\;0 - \sqrt{\frac{\left(2 \cdot F\right) \cdot \left(C + \left(A - \mathsf{hypot}\left(B\_m, A - C\right)\right)\right)}{B\_m \cdot B\_m + C \cdot \left(A \cdot -4\right)}}\\
\mathbf{elif}\;B\_m \leq 2.2 \cdot 10^{+272}:\\
\;\;\;\;\frac{-1}{\frac{B\_m}{\sqrt{\left(2 \cdot F\right) \cdot \left(C - \mathsf{hypot}\left(C, B\_m\right)\right)}}}\\
\mathbf{else}:\\
\;\;\;\;0 - \sqrt{2} \cdot \sqrt{\frac{F}{0 - B\_m}}\\
\end{array}
\end{array}
if B < 1.9000000000000001e-242Initial program 14.8%
Simplified20.8%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6413.4%
Simplified13.4%
associate-*r*N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6416.9%
Applied egg-rr16.9%
if 1.9000000000000001e-242 < B < 6.80000000000000026e-102Initial program 16.5%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified23.0%
Taylor expanded in C around -inf
*-lowering-*.f64N/A
/-lowering-/.f6432.2%
Simplified32.2%
if 6.80000000000000026e-102 < B < 3.05e97Initial program 35.4%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified45.1%
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
associate-*l/N/A
Applied egg-rr45.8%
if 3.05e97 < B < 2.20000000000000008e272Initial program 5.1%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6454.9%
Simplified54.9%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr55.0%
neg-mul-1N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
*-lowering-*.f6455.1%
Applied egg-rr55.1%
if 2.20000000000000008e272 < B Initial program 0.0%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified1.1%
Taylor expanded in B around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6484.2%
Simplified84.2%
Final simplification31.6%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (- 0.0 (sqrt 2.0))))
(if (<= A -1.1e+116)
(* (sqrt (* -0.5 (/ F C))) t_0)
(if (<= A -3.6e-53)
(/
(sqrt
(* (* A A) (+ (* (* C F) -16.0) (/ (* 4.0 (* F (* B_m B_m))) A))))
(- (* 4.0 (* A C)) (* B_m B_m)))
(if (<= A 3.7e-40)
(- 0.0 (* (sqrt 2.0) (sqrt (/ F (- 0.0 B_m)))))
(* (sqrt (* -0.5 (/ F A))) t_0))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double t_0 = 0.0 - sqrt(2.0);
double tmp;
if (A <= -1.1e+116) {
tmp = sqrt((-0.5 * (F / C))) * t_0;
} else if (A <= -3.6e-53) {
tmp = sqrt(((A * A) * (((C * F) * -16.0) + ((4.0 * (F * (B_m * B_m))) / A)))) / ((4.0 * (A * C)) - (B_m * B_m));
} else if (A <= 3.7e-40) {
tmp = 0.0 - (sqrt(2.0) * sqrt((F / (0.0 - B_m))));
} else {
tmp = sqrt((-0.5 * (F / A))) * t_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) :: t_0
real(8) :: tmp
t_0 = 0.0d0 - sqrt(2.0d0)
if (a <= (-1.1d+116)) then
tmp = sqrt(((-0.5d0) * (f / c))) * t_0
else if (a <= (-3.6d-53)) then
tmp = sqrt(((a * a) * (((c * f) * (-16.0d0)) + ((4.0d0 * (f * (b_m * b_m))) / a)))) / ((4.0d0 * (a * c)) - (b_m * b_m))
else if (a <= 3.7d-40) then
tmp = 0.0d0 - (sqrt(2.0d0) * sqrt((f / (0.0d0 - b_m))))
else
tmp = sqrt(((-0.5d0) * (f / a))) * t_0
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 = 0.0 - Math.sqrt(2.0);
double tmp;
if (A <= -1.1e+116) {
tmp = Math.sqrt((-0.5 * (F / C))) * t_0;
} else if (A <= -3.6e-53) {
tmp = Math.sqrt(((A * A) * (((C * F) * -16.0) + ((4.0 * (F * (B_m * B_m))) / A)))) / ((4.0 * (A * C)) - (B_m * B_m));
} else if (A <= 3.7e-40) {
tmp = 0.0 - (Math.sqrt(2.0) * Math.sqrt((F / (0.0 - B_m))));
} else {
tmp = Math.sqrt((-0.5 * (F / A))) * t_0;
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = 0.0 - math.sqrt(2.0) tmp = 0 if A <= -1.1e+116: tmp = math.sqrt((-0.5 * (F / C))) * t_0 elif A <= -3.6e-53: tmp = math.sqrt(((A * A) * (((C * F) * -16.0) + ((4.0 * (F * (B_m * B_m))) / A)))) / ((4.0 * (A * C)) - (B_m * B_m)) elif A <= 3.7e-40: tmp = 0.0 - (math.sqrt(2.0) * math.sqrt((F / (0.0 - B_m)))) else: tmp = math.sqrt((-0.5 * (F / A))) * t_0 return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = Float64(0.0 - sqrt(2.0)) tmp = 0.0 if (A <= -1.1e+116) tmp = Float64(sqrt(Float64(-0.5 * Float64(F / C))) * t_0); elseif (A <= -3.6e-53) tmp = Float64(sqrt(Float64(Float64(A * A) * Float64(Float64(Float64(C * F) * -16.0) + Float64(Float64(4.0 * Float64(F * Float64(B_m * B_m))) / A)))) / Float64(Float64(4.0 * Float64(A * C)) - Float64(B_m * B_m))); elseif (A <= 3.7e-40) tmp = Float64(0.0 - Float64(sqrt(2.0) * sqrt(Float64(F / Float64(0.0 - B_m))))); else tmp = Float64(sqrt(Float64(-0.5 * Float64(F / A))) * t_0); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) t_0 = 0.0 - sqrt(2.0); tmp = 0.0; if (A <= -1.1e+116) tmp = sqrt((-0.5 * (F / C))) * t_0; elseif (A <= -3.6e-53) tmp = sqrt(((A * A) * (((C * F) * -16.0) + ((4.0 * (F * (B_m * B_m))) / A)))) / ((4.0 * (A * C)) - (B_m * B_m)); elseif (A <= 3.7e-40) tmp = 0.0 - (sqrt(2.0) * sqrt((F / (0.0 - B_m)))); else tmp = sqrt((-0.5 * (F / A))) * t_0; end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision]
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[A, -1.1e+116], N[(N[Sqrt[N[(-0.5 * N[(F / C), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision], If[LessEqual[A, -3.6e-53], N[(N[Sqrt[N[(N[(A * A), $MachinePrecision] * N[(N[(N[(C * F), $MachinePrecision] * -16.0), $MachinePrecision] + N[(N[(4.0 * N[(F * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / A), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[A, 3.7e-40], N[(0.0 - N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[N[(F / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(-0.5 * N[(F / A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := 0 - \sqrt{2}\\
\mathbf{if}\;A \leq -1.1 \cdot 10^{+116}:\\
\;\;\;\;\sqrt{-0.5 \cdot \frac{F}{C}} \cdot t\_0\\
\mathbf{elif}\;A \leq -3.6 \cdot 10^{-53}:\\
\;\;\;\;\frac{\sqrt{\left(A \cdot A\right) \cdot \left(\left(C \cdot F\right) \cdot -16 + \frac{4 \cdot \left(F \cdot \left(B\_m \cdot B\_m\right)\right)}{A}\right)}}{4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m}\\
\mathbf{elif}\;A \leq 3.7 \cdot 10^{-40}:\\
\;\;\;\;0 - \sqrt{2} \cdot \sqrt{\frac{F}{0 - B\_m}}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{-0.5 \cdot \frac{F}{A}} \cdot t\_0\\
\end{array}
\end{array}
if A < -1.1e116Initial program 7.2%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified36.6%
Taylor expanded in A around -inf
*-lowering-*.f64N/A
/-lowering-/.f6446.2%
Simplified46.2%
if -1.1e116 < A < -3.5999999999999999e-53Initial program 31.1%
Simplified34.0%
Taylor expanded in A around -inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6440.3%
Simplified40.3%
if -3.5999999999999999e-53 < A < 3.69999999999999998e-40Initial program 21.7%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified28.9%
Taylor expanded in B around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6422.9%
Simplified22.9%
if 3.69999999999999998e-40 < A Initial program 5.9%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified10.7%
Taylor expanded in C around -inf
*-lowering-*.f64N/A
/-lowering-/.f6441.9%
Simplified41.9%
Final simplification33.6%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (* F (* B_m B_m))))
(if (<= A -2.4e+116)
(/ (pow (- 0.0 (/ t_0 C)) 0.5) (- 0.0 B_m))
(if (<= A -1.3e-54)
(/
(sqrt (* (* A A) (+ (* (* C F) -16.0) (/ (* 4.0 t_0) A))))
(- (* 4.0 (* A C)) (* B_m B_m)))
(if (<= A 3.7e-40)
(- 0.0 (* (sqrt 2.0) (sqrt (/ F (- 0.0 B_m)))))
(* (sqrt (* -0.5 (/ F A))) (- 0.0 (sqrt 2.0))))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double t_0 = F * (B_m * B_m);
double tmp;
if (A <= -2.4e+116) {
tmp = pow((0.0 - (t_0 / C)), 0.5) / (0.0 - B_m);
} else if (A <= -1.3e-54) {
tmp = sqrt(((A * A) * (((C * F) * -16.0) + ((4.0 * t_0) / A)))) / ((4.0 * (A * C)) - (B_m * B_m));
} else if (A <= 3.7e-40) {
tmp = 0.0 - (sqrt(2.0) * sqrt((F / (0.0 - B_m))));
} else {
tmp = sqrt((-0.5 * (F / A))) * (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) :: t_0
real(8) :: tmp
t_0 = f * (b_m * b_m)
if (a <= (-2.4d+116)) then
tmp = ((0.0d0 - (t_0 / c)) ** 0.5d0) / (0.0d0 - b_m)
else if (a <= (-1.3d-54)) then
tmp = sqrt(((a * a) * (((c * f) * (-16.0d0)) + ((4.0d0 * t_0) / a)))) / ((4.0d0 * (a * c)) - (b_m * b_m))
else if (a <= 3.7d-40) then
tmp = 0.0d0 - (sqrt(2.0d0) * sqrt((f / (0.0d0 - b_m))))
else
tmp = sqrt(((-0.5d0) * (f / a))) * (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 t_0 = F * (B_m * B_m);
double tmp;
if (A <= -2.4e+116) {
tmp = Math.pow((0.0 - (t_0 / C)), 0.5) / (0.0 - B_m);
} else if (A <= -1.3e-54) {
tmp = Math.sqrt(((A * A) * (((C * F) * -16.0) + ((4.0 * t_0) / A)))) / ((4.0 * (A * C)) - (B_m * B_m));
} else if (A <= 3.7e-40) {
tmp = 0.0 - (Math.sqrt(2.0) * Math.sqrt((F / (0.0 - B_m))));
} else {
tmp = Math.sqrt((-0.5 * (F / A))) * (0.0 - Math.sqrt(2.0));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): t_0 = F * (B_m * B_m) tmp = 0 if A <= -2.4e+116: tmp = math.pow((0.0 - (t_0 / C)), 0.5) / (0.0 - B_m) elif A <= -1.3e-54: tmp = math.sqrt(((A * A) * (((C * F) * -16.0) + ((4.0 * t_0) / A)))) / ((4.0 * (A * C)) - (B_m * B_m)) elif A <= 3.7e-40: tmp = 0.0 - (math.sqrt(2.0) * math.sqrt((F / (0.0 - B_m)))) else: tmp = math.sqrt((-0.5 * (F / A))) * (0.0 - math.sqrt(2.0)) return tmp
B_m = abs(B) function code(A, B_m, C, F) t_0 = Float64(F * Float64(B_m * B_m)) tmp = 0.0 if (A <= -2.4e+116) tmp = Float64((Float64(0.0 - Float64(t_0 / C)) ^ 0.5) / Float64(0.0 - B_m)); elseif (A <= -1.3e-54) tmp = Float64(sqrt(Float64(Float64(A * A) * Float64(Float64(Float64(C * F) * -16.0) + Float64(Float64(4.0 * t_0) / A)))) / Float64(Float64(4.0 * Float64(A * C)) - Float64(B_m * B_m))); elseif (A <= 3.7e-40) tmp = Float64(0.0 - Float64(sqrt(2.0) * sqrt(Float64(F / Float64(0.0 - B_m))))); else tmp = Float64(sqrt(Float64(-0.5 * Float64(F / A))) * Float64(0.0 - sqrt(2.0))); end return tmp end
B_m = abs(B); function tmp_2 = code(A, B_m, C, F) t_0 = F * (B_m * B_m); tmp = 0.0; if (A <= -2.4e+116) tmp = ((0.0 - (t_0 / C)) ^ 0.5) / (0.0 - B_m); elseif (A <= -1.3e-54) tmp = sqrt(((A * A) * (((C * F) * -16.0) + ((4.0 * t_0) / A)))) / ((4.0 * (A * C)) - (B_m * B_m)); elseif (A <= 3.7e-40) tmp = 0.0 - (sqrt(2.0) * sqrt((F / (0.0 - B_m)))); else tmp = sqrt((-0.5 * (F / A))) * (0.0 - sqrt(2.0)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision]
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(F * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[A, -2.4e+116], N[(N[Power[N[(0.0 - N[(t$95$0 / C), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision], If[LessEqual[A, -1.3e-54], N[(N[Sqrt[N[(N[(A * A), $MachinePrecision] * N[(N[(N[(C * F), $MachinePrecision] * -16.0), $MachinePrecision] + N[(N[(4.0 * t$95$0), $MachinePrecision] / A), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[A, 3.7e-40], N[(0.0 - N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[N[(F / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(-0.5 * N[(F / A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
t_0 := F \cdot \left(B\_m \cdot B\_m\right)\\
\mathbf{if}\;A \leq -2.4 \cdot 10^{+116}:\\
\;\;\;\;\frac{{\left(0 - \frac{t\_0}{C}\right)}^{0.5}}{0 - B\_m}\\
\mathbf{elif}\;A \leq -1.3 \cdot 10^{-54}:\\
\;\;\;\;\frac{\sqrt{\left(A \cdot A\right) \cdot \left(\left(C \cdot F\right) \cdot -16 + \frac{4 \cdot t\_0}{A}\right)}}{4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m}\\
\mathbf{elif}\;A \leq 3.7 \cdot 10^{-40}:\\
\;\;\;\;0 - \sqrt{2} \cdot \sqrt{\frac{F}{0 - B\_m}}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{-0.5 \cdot \frac{F}{A}} \cdot \left(0 - \sqrt{2}\right)\\
\end{array}
\end{array}
if A < -2.4e116Initial program 7.2%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f643.5%
Simplified3.5%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr3.6%
Taylor expanded in C around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6414.2%
Simplified14.2%
if -2.4e116 < A < -1.30000000000000001e-54Initial program 31.1%
Simplified34.0%
Taylor expanded in A around -inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6440.3%
Simplified40.3%
if -1.30000000000000001e-54 < A < 3.69999999999999998e-40Initial program 21.7%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified28.9%
Taylor expanded in B around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6422.9%
Simplified22.9%
if 3.69999999999999998e-40 < A Initial program 5.9%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified10.7%
Taylor expanded in C around -inf
*-lowering-*.f64N/A
/-lowering-/.f6441.9%
Simplified41.9%
Final simplification29.0%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= F -1.8e+31)
(- 0.0 (* (sqrt 2.0) (sqrt (/ F (- 0.0 B_m)))))
(if (<= F -4.2e-5)
(*
(/ 1.0 (- (* (* 4.0 A) C) (* B_m B_m)))
(sqrt
(+
(* F (* -16.0 (* C (* A C))))
(*
2.0
(*
(* B_m B_m)
(+
(* (* 2.0 F) (+ C (/ A (/ (- A C) C))))
(*
F
(*
(* B_m B_m)
(+
(/ (* C (* A -0.5)) (* (- A C) (* (- A C) (- A C))))
(/ -0.5 (- A C)))))))))))
(if (<= F 2.6e-262)
(/ (sqrt (* -2.0 (* B_m F))) (- 0.0 B_m))
(/
(sqrt (* -16.0 (* (* C F) (* A C))))
(- (* 4.0 (* A C)) (* B_m B_m)))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (F <= -1.8e+31) {
tmp = 0.0 - (sqrt(2.0) * sqrt((F / (0.0 - B_m))));
} else if (F <= -4.2e-5) {
tmp = (1.0 / (((4.0 * A) * C) - (B_m * B_m))) * sqrt(((F * (-16.0 * (C * (A * C)))) + (2.0 * ((B_m * B_m) * (((2.0 * F) * (C + (A / ((A - C) / C)))) + (F * ((B_m * B_m) * (((C * (A * -0.5)) / ((A - C) * ((A - C) * (A - C)))) + (-0.5 / (A - C))))))))));
} else if (F <= 2.6e-262) {
tmp = sqrt((-2.0 * (B_m * F))) / (0.0 - B_m);
} else {
tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (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 (f <= (-1.8d+31)) then
tmp = 0.0d0 - (sqrt(2.0d0) * sqrt((f / (0.0d0 - b_m))))
else if (f <= (-4.2d-5)) then
tmp = (1.0d0 / (((4.0d0 * a) * c) - (b_m * b_m))) * sqrt(((f * ((-16.0d0) * (c * (a * c)))) + (2.0d0 * ((b_m * b_m) * (((2.0d0 * f) * (c + (a / ((a - c) / c)))) + (f * ((b_m * b_m) * (((c * (a * (-0.5d0))) / ((a - c) * ((a - c) * (a - c)))) + ((-0.5d0) / (a - c))))))))))
else if (f <= 2.6d-262) then
tmp = sqrt(((-2.0d0) * (b_m * f))) / (0.0d0 - b_m)
else
tmp = sqrt(((-16.0d0) * ((c * f) * (a * c)))) / ((4.0d0 * (a * c)) - (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 (F <= -1.8e+31) {
tmp = 0.0 - (Math.sqrt(2.0) * Math.sqrt((F / (0.0 - B_m))));
} else if (F <= -4.2e-5) {
tmp = (1.0 / (((4.0 * A) * C) - (B_m * B_m))) * Math.sqrt(((F * (-16.0 * (C * (A * C)))) + (2.0 * ((B_m * B_m) * (((2.0 * F) * (C + (A / ((A - C) / C)))) + (F * ((B_m * B_m) * (((C * (A * -0.5)) / ((A - C) * ((A - C) * (A - C)))) + (-0.5 / (A - C))))))))));
} else if (F <= 2.6e-262) {
tmp = Math.sqrt((-2.0 * (B_m * F))) / (0.0 - B_m);
} else {
tmp = Math.sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if F <= -1.8e+31: tmp = 0.0 - (math.sqrt(2.0) * math.sqrt((F / (0.0 - B_m)))) elif F <= -4.2e-5: tmp = (1.0 / (((4.0 * A) * C) - (B_m * B_m))) * math.sqrt(((F * (-16.0 * (C * (A * C)))) + (2.0 * ((B_m * B_m) * (((2.0 * F) * (C + (A / ((A - C) / C)))) + (F * ((B_m * B_m) * (((C * (A * -0.5)) / ((A - C) * ((A - C) * (A - C)))) + (-0.5 / (A - C)))))))))) elif F <= 2.6e-262: tmp = math.sqrt((-2.0 * (B_m * F))) / (0.0 - B_m) else: tmp = math.sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m)) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (F <= -1.8e+31) tmp = Float64(0.0 - Float64(sqrt(2.0) * sqrt(Float64(F / Float64(0.0 - B_m))))); elseif (F <= -4.2e-5) tmp = Float64(Float64(1.0 / Float64(Float64(Float64(4.0 * A) * C) - Float64(B_m * B_m))) * sqrt(Float64(Float64(F * Float64(-16.0 * Float64(C * Float64(A * C)))) + Float64(2.0 * Float64(Float64(B_m * B_m) * Float64(Float64(Float64(2.0 * F) * Float64(C + Float64(A / Float64(Float64(A - C) / C)))) + Float64(F * Float64(Float64(B_m * B_m) * Float64(Float64(Float64(C * Float64(A * -0.5)) / Float64(Float64(A - C) * Float64(Float64(A - C) * Float64(A - C)))) + Float64(-0.5 / Float64(A - C))))))))))); elseif (F <= 2.6e-262) tmp = Float64(sqrt(Float64(-2.0 * Float64(B_m * F))) / Float64(0.0 - B_m)); else tmp = Float64(sqrt(Float64(-16.0 * Float64(Float64(C * F) * Float64(A * C)))) / Float64(Float64(4.0 * Float64(A * C)) - Float64(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 (F <= -1.8e+31) tmp = 0.0 - (sqrt(2.0) * sqrt((F / (0.0 - B_m)))); elseif (F <= -4.2e-5) tmp = (1.0 / (((4.0 * A) * C) - (B_m * B_m))) * sqrt(((F * (-16.0 * (C * (A * C)))) + (2.0 * ((B_m * B_m) * (((2.0 * F) * (C + (A / ((A - C) / C)))) + (F * ((B_m * B_m) * (((C * (A * -0.5)) / ((A - C) * ((A - C) * (A - C)))) + (-0.5 / (A - C)))))))))); elseif (F <= 2.6e-262) tmp = sqrt((-2.0 * (B_m * F))) / (0.0 - B_m); else tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[F, -1.8e+31], N[(0.0 - N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[N[(F / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[F, -4.2e-5], N[(N[(1.0 / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(N[(F * N[(-16.0 * N[(C * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.0 * N[(N[(B$95$m * B$95$m), $MachinePrecision] * N[(N[(N[(2.0 * F), $MachinePrecision] * N[(C + N[(A / N[(N[(A - C), $MachinePrecision] / C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(F * N[(N[(B$95$m * B$95$m), $MachinePrecision] * N[(N[(N[(C * N[(A * -0.5), $MachinePrecision]), $MachinePrecision] / N[(N[(A - C), $MachinePrecision] * N[(N[(A - C), $MachinePrecision] * N[(A - C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.5 / N[(A - C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[F, 2.6e-262], N[(N[Sqrt[N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(-16.0 * N[(N[(C * F), $MachinePrecision] * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;F \leq -1.8 \cdot 10^{+31}:\\
\;\;\;\;0 - \sqrt{2} \cdot \sqrt{\frac{F}{0 - B\_m}}\\
\mathbf{elif}\;F \leq -4.2 \cdot 10^{-5}:\\
\;\;\;\;\frac{1}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m} \cdot \sqrt{F \cdot \left(-16 \cdot \left(C \cdot \left(A \cdot C\right)\right)\right) + 2 \cdot \left(\left(B\_m \cdot B\_m\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(C + \frac{A}{\frac{A - C}{C}}\right) + F \cdot \left(\left(B\_m \cdot B\_m\right) \cdot \left(\frac{C \cdot \left(A \cdot -0.5\right)}{\left(A - C\right) \cdot \left(\left(A - C\right) \cdot \left(A - C\right)\right)} + \frac{-0.5}{A - C}\right)\right)\right)\right)}\\
\mathbf{elif}\;F \leq 2.6 \cdot 10^{-262}:\\
\;\;\;\;\frac{\sqrt{-2 \cdot \left(B\_m \cdot F\right)}}{0 - B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(\left(C \cdot F\right) \cdot \left(A \cdot C\right)\right)}}{4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m}\\
\end{array}
\end{array}
if F < -1.79999999999999998e31Initial program 10.5%
Taylor expanded in F around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
Simplified18.8%
Taylor expanded in B around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6420.8%
Simplified20.8%
if -1.79999999999999998e31 < F < -4.19999999999999977e-5Initial program 9.5%
Simplified17.0%
Taylor expanded in B around 0
Simplified47.6%
Applied egg-rr54.0%
if -4.19999999999999977e-5 < F < 2.5999999999999999e-262Initial program 20.3%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6426.0%
Simplified26.0%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr26.2%
/-lowering-/.f64N/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
*-lowering-*.f6426.2%
Applied egg-rr26.2%
Taylor expanded in C around 0
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6421.9%
Simplified21.9%
if 2.5999999999999999e-262 < F Initial program 27.2%
Simplified34.7%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6423.0%
Simplified23.0%
associate-*r*N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6427.1%
Applied egg-rr27.1%
Final simplification23.9%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= A -2.6e+115)
(/ (pow (- 0.0 (/ (* F (* B_m B_m)) C)) 0.5) (- 0.0 B_m))
(if (<= A 8e+131)
(/ (pow (* -2.0 (* B_m F)) 0.5) (- 0.0 B_m))
(/ (* C (sqrt (* -16.0 (* A F)))) (- (* 4.0 (* A C)) (* B_m B_m))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (A <= -2.6e+115) {
tmp = pow((0.0 - ((F * (B_m * B_m)) / C)), 0.5) / (0.0 - B_m);
} else if (A <= 8e+131) {
tmp = pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m);
} else {
tmp = (C * sqrt((-16.0 * (A * F)))) / ((4.0 * (A * C)) - (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 (a <= (-2.6d+115)) then
tmp = ((0.0d0 - ((f * (b_m * b_m)) / c)) ** 0.5d0) / (0.0d0 - b_m)
else if (a <= 8d+131) then
tmp = (((-2.0d0) * (b_m * f)) ** 0.5d0) / (0.0d0 - b_m)
else
tmp = (c * sqrt(((-16.0d0) * (a * f)))) / ((4.0d0 * (a * c)) - (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 (A <= -2.6e+115) {
tmp = Math.pow((0.0 - ((F * (B_m * B_m)) / C)), 0.5) / (0.0 - B_m);
} else if (A <= 8e+131) {
tmp = Math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m);
} else {
tmp = (C * Math.sqrt((-16.0 * (A * F)))) / ((4.0 * (A * C)) - (B_m * B_m));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if A <= -2.6e+115: tmp = math.pow((0.0 - ((F * (B_m * B_m)) / C)), 0.5) / (0.0 - B_m) elif A <= 8e+131: tmp = math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m) else: tmp = (C * math.sqrt((-16.0 * (A * F)))) / ((4.0 * (A * C)) - (B_m * B_m)) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (A <= -2.6e+115) tmp = Float64((Float64(0.0 - Float64(Float64(F * Float64(B_m * B_m)) / C)) ^ 0.5) / Float64(0.0 - B_m)); elseif (A <= 8e+131) tmp = Float64((Float64(-2.0 * Float64(B_m * F)) ^ 0.5) / Float64(0.0 - B_m)); else tmp = Float64(Float64(C * sqrt(Float64(-16.0 * Float64(A * F)))) / Float64(Float64(4.0 * Float64(A * C)) - Float64(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 (A <= -2.6e+115) tmp = ((0.0 - ((F * (B_m * B_m)) / C)) ^ 0.5) / (0.0 - B_m); elseif (A <= 8e+131) tmp = ((-2.0 * (B_m * F)) ^ 0.5) / (0.0 - B_m); else tmp = (C * sqrt((-16.0 * (A * F)))) / ((4.0 * (A * C)) - (B_m * B_m)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[A, -2.6e+115], N[(N[Power[N[(0.0 - N[(N[(F * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision] / C), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision], If[LessEqual[A, 8e+131], N[(N[Power[N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision], N[(N[(C * N[Sqrt[N[(-16.0 * N[(A * F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;A \leq -2.6 \cdot 10^{+115}:\\
\;\;\;\;\frac{{\left(0 - \frac{F \cdot \left(B\_m \cdot B\_m\right)}{C}\right)}^{0.5}}{0 - B\_m}\\
\mathbf{elif}\;A \leq 8 \cdot 10^{+131}:\\
\;\;\;\;\frac{{\left(-2 \cdot \left(B\_m \cdot F\right)\right)}^{0.5}}{0 - B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{C \cdot \sqrt{-16 \cdot \left(A \cdot F\right)}}{4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m}\\
\end{array}
\end{array}
if A < -2.6e115Initial program 9.6%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f643.5%
Simplified3.5%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr3.5%
Taylor expanded in C around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6413.9%
Simplified13.9%
if -2.6e115 < A < 7.9999999999999993e131Initial program 20.7%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6421.2%
Simplified21.2%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr21.3%
Taylor expanded in C around 0
*-lowering-*.f64N/A
*-lowering-*.f6418.9%
Simplified18.9%
if 7.9999999999999993e131 < A Initial program 0.8%
Simplified2.5%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6431.2%
Simplified31.2%
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6429.1%
Applied egg-rr29.1%
pow1/2N/A
associate-*r*N/A
unpow-prod-downN/A
pow2N/A
pow-powN/A
metadata-evalN/A
unpow1N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6421.2%
Applied egg-rr21.2%
Final simplification18.4%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= A -2.6e+115)
(/ (pow (- 0.0 (/ (* F (* B_m B_m)) C)) 0.5) (- 0.0 B_m))
(if (<= A 4e+132)
(/ (pow (* -2.0 (* B_m F)) 0.5) (- 0.0 B_m))
(/ (* C (sqrt (* -16.0 (* A F)))) (- (* (* 4.0 A) C) (* B_m B_m))))))B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
double tmp;
if (A <= -2.6e+115) {
tmp = pow((0.0 - ((F * (B_m * B_m)) / C)), 0.5) / (0.0 - B_m);
} else if (A <= 4e+132) {
tmp = pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m);
} else {
tmp = (C * sqrt((-16.0 * (A * F)))) / (((4.0 * A) * C) - (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 (a <= (-2.6d+115)) then
tmp = ((0.0d0 - ((f * (b_m * b_m)) / c)) ** 0.5d0) / (0.0d0 - b_m)
else if (a <= 4d+132) then
tmp = (((-2.0d0) * (b_m * f)) ** 0.5d0) / (0.0d0 - b_m)
else
tmp = (c * sqrt(((-16.0d0) * (a * f)))) / (((4.0d0 * a) * c) - (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 (A <= -2.6e+115) {
tmp = Math.pow((0.0 - ((F * (B_m * B_m)) / C)), 0.5) / (0.0 - B_m);
} else if (A <= 4e+132) {
tmp = Math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m);
} else {
tmp = (C * Math.sqrt((-16.0 * (A * F)))) / (((4.0 * A) * C) - (B_m * B_m));
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if A <= -2.6e+115: tmp = math.pow((0.0 - ((F * (B_m * B_m)) / C)), 0.5) / (0.0 - B_m) elif A <= 4e+132: tmp = math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m) else: tmp = (C * math.sqrt((-16.0 * (A * F)))) / (((4.0 * A) * C) - (B_m * B_m)) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (A <= -2.6e+115) tmp = Float64((Float64(0.0 - Float64(Float64(F * Float64(B_m * B_m)) / C)) ^ 0.5) / Float64(0.0 - B_m)); elseif (A <= 4e+132) tmp = Float64((Float64(-2.0 * Float64(B_m * F)) ^ 0.5) / Float64(0.0 - B_m)); else tmp = Float64(Float64(C * sqrt(Float64(-16.0 * Float64(A * F)))) / Float64(Float64(Float64(4.0 * A) * C) - Float64(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 (A <= -2.6e+115) tmp = ((0.0 - ((F * (B_m * B_m)) / C)) ^ 0.5) / (0.0 - B_m); elseif (A <= 4e+132) tmp = ((-2.0 * (B_m * F)) ^ 0.5) / (0.0 - B_m); else tmp = (C * sqrt((-16.0 * (A * F)))) / (((4.0 * A) * C) - (B_m * B_m)); end tmp_2 = tmp; end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := If[LessEqual[A, -2.6e+115], N[(N[Power[N[(0.0 - N[(N[(F * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision] / C), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision], If[LessEqual[A, 4e+132], N[(N[Power[N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision], N[(N[(C * N[Sqrt[N[(-16.0 * N[(A * F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;A \leq -2.6 \cdot 10^{+115}:\\
\;\;\;\;\frac{{\left(0 - \frac{F \cdot \left(B\_m \cdot B\_m\right)}{C}\right)}^{0.5}}{0 - B\_m}\\
\mathbf{elif}\;A \leq 4 \cdot 10^{+132}:\\
\;\;\;\;\frac{{\left(-2 \cdot \left(B\_m \cdot F\right)\right)}^{0.5}}{0 - B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{C \cdot \sqrt{-16 \cdot \left(A \cdot F\right)}}{\left(4 \cdot A\right) \cdot C - B\_m \cdot B\_m}\\
\end{array}
\end{array}
if A < -2.6e115Initial program 9.6%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f643.5%
Simplified3.5%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr3.5%
Taylor expanded in C around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6413.9%
Simplified13.9%
if -2.6e115 < A < 3.99999999999999996e132Initial program 20.7%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6421.2%
Simplified21.2%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr21.3%
Taylor expanded in C around 0
*-lowering-*.f64N/A
*-lowering-*.f6418.9%
Simplified18.9%
if 3.99999999999999996e132 < A Initial program 0.8%
Simplified2.5%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6431.2%
Simplified31.2%
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6429.1%
Applied egg-rr29.1%
/-lowering-/.f64N/A
pow1/2N/A
associate-*r*N/A
*-commutativeN/A
unpow-prod-downN/A
pow2N/A
pow-powN/A
metadata-evalN/A
unpow1N/A
*-lowering-*.f64N/A
pow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6421.1%
Applied egg-rr21.1%
Final simplification18.4%
B_m = (fabs.f64 B)
(FPCore (A B_m C F)
:precision binary64
(if (<= B_m 1.45e-62)
(/ (sqrt (* -16.0 (* (* C F) (* A C)))) (- (* 4.0 (* A C)) (* B_m B_m)))
(/
(pow (- (* -2.0 (* B_m F)) (* C (- (/ (* C F) B_m) (* 2.0 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 (B_m <= 1.45e-62) {
tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m));
} else {
tmp = pow(((-2.0 * (B_m * F)) - (C * (((C * F) / B_m) - (2.0 * 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 (b_m <= 1.45d-62) then
tmp = sqrt(((-16.0d0) * ((c * f) * (a * c)))) / ((4.0d0 * (a * c)) - (b_m * b_m))
else
tmp = ((((-2.0d0) * (b_m * f)) - (c * (((c * f) / b_m) - (2.0d0 * 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 (B_m <= 1.45e-62) {
tmp = Math.sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m));
} else {
tmp = Math.pow(((-2.0 * (B_m * F)) - (C * (((C * F) / B_m) - (2.0 * F)))), 0.5) / (0.0 - B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 1.45e-62: tmp = math.sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m)) else: tmp = math.pow(((-2.0 * (B_m * F)) - (C * (((C * F) / B_m) - (2.0 * F)))), 0.5) / (0.0 - B_m) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 1.45e-62) tmp = Float64(sqrt(Float64(-16.0 * Float64(Float64(C * F) * Float64(A * C)))) / Float64(Float64(4.0 * Float64(A * C)) - Float64(B_m * B_m))); else tmp = Float64((Float64(Float64(-2.0 * Float64(B_m * F)) - Float64(C * Float64(Float64(Float64(C * F) / B_m) - Float64(2.0 * 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 (B_m <= 1.45e-62) tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m)); else tmp = (((-2.0 * (B_m * F)) - (C * (((C * F) / B_m) - (2.0 * 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[B$95$m, 1.45e-62], N[(N[Sqrt[N[(-16.0 * N[(N[(C * F), $MachinePrecision] * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision] - N[(C * N[(N[(N[(C * F), $MachinePrecision] / B$95$m), $MachinePrecision] - N[(2.0 * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 1.45 \cdot 10^{-62}:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(\left(C \cdot F\right) \cdot \left(A \cdot C\right)\right)}}{4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(-2 \cdot \left(B\_m \cdot F\right) - C \cdot \left(\frac{C \cdot F}{B\_m} - 2 \cdot F\right)\right)}^{0.5}}{0 - B\_m}\\
\end{array}
\end{array}
if B < 1.44999999999999993e-62Initial program 16.8%
Simplified23.0%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6413.7%
Simplified13.7%
associate-*r*N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6417.7%
Applied egg-rr17.7%
if 1.44999999999999993e-62 < B Initial program 16.1%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6443.2%
Simplified43.2%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr43.4%
Taylor expanded in C around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6439.1%
Simplified39.1%
Final simplification24.8%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (if (<= B_m 3.8e-76) (/ (sqrt (* -16.0 (* (* C F) (* A C)))) (- (* 4.0 (* A C)) (* B_m B_m))) (/ (pow (* -2.0 (* B_m 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 (B_m <= 3.8e-76) {
tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m));
} else {
tmp = pow((-2.0 * (B_m * 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 (b_m <= 3.8d-76) then
tmp = sqrt(((-16.0d0) * ((c * f) * (a * c)))) / ((4.0d0 * (a * c)) - (b_m * b_m))
else
tmp = (((-2.0d0) * (b_m * 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 (B_m <= 3.8e-76) {
tmp = Math.sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m));
} else {
tmp = Math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 3.8e-76: tmp = math.sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m)) else: tmp = math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 3.8e-76) tmp = Float64(sqrt(Float64(-16.0 * Float64(Float64(C * F) * Float64(A * C)))) / Float64(Float64(4.0 * Float64(A * C)) - Float64(B_m * B_m))); else tmp = Float64((Float64(-2.0 * Float64(B_m * 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 (B_m <= 3.8e-76) tmp = sqrt((-16.0 * ((C * F) * (A * C)))) / ((4.0 * (A * C)) - (B_m * B_m)); else tmp = ((-2.0 * (B_m * 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[B$95$m, 3.8e-76], N[(N[Sqrt[N[(-16.0 * N[(N[(C * F), $MachinePrecision] * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 3.8 \cdot 10^{-76}:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(\left(C \cdot F\right) \cdot \left(A \cdot C\right)\right)}}{4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(-2 \cdot \left(B\_m \cdot F\right)\right)}^{0.5}}{0 - B\_m}\\
\end{array}
\end{array}
if B < 3.8000000000000002e-76Initial program 17.0%
Simplified23.2%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6413.8%
Simplified13.8%
associate-*r*N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6417.9%
Applied egg-rr17.9%
if 3.8000000000000002e-76 < B Initial program 15.8%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6442.2%
Simplified42.2%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr42.4%
Taylor expanded in C around 0
*-lowering-*.f64N/A
*-lowering-*.f6438.3%
Simplified38.3%
Final simplification24.8%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (if (<= B_m 1.9e-76) (/ (sqrt (* -16.0 (* F (* A (* C C))))) (- (* 4.0 (* A C)) (* B_m B_m))) (/ (pow (* -2.0 (* B_m 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 (B_m <= 1.9e-76) {
tmp = sqrt((-16.0 * (F * (A * (C * C))))) / ((4.0 * (A * C)) - (B_m * B_m));
} else {
tmp = pow((-2.0 * (B_m * 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 (b_m <= 1.9d-76) then
tmp = sqrt(((-16.0d0) * (f * (a * (c * c))))) / ((4.0d0 * (a * c)) - (b_m * b_m))
else
tmp = (((-2.0d0) * (b_m * 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 (B_m <= 1.9e-76) {
tmp = Math.sqrt((-16.0 * (F * (A * (C * C))))) / ((4.0 * (A * C)) - (B_m * B_m));
} else {
tmp = Math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if B_m <= 1.9e-76: tmp = math.sqrt((-16.0 * (F * (A * (C * C))))) / ((4.0 * (A * C)) - (B_m * B_m)) else: tmp = math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (B_m <= 1.9e-76) tmp = Float64(sqrt(Float64(-16.0 * Float64(F * Float64(A * Float64(C * C))))) / Float64(Float64(4.0 * Float64(A * C)) - Float64(B_m * B_m))); else tmp = Float64((Float64(-2.0 * Float64(B_m * 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 (B_m <= 1.9e-76) tmp = sqrt((-16.0 * (F * (A * (C * C))))) / ((4.0 * (A * C)) - (B_m * B_m)); else tmp = ((-2.0 * (B_m * 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[B$95$m, 1.9e-76], N[(N[Sqrt[N[(-16.0 * N[(F * N[(A * N[(C * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision] - N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;B\_m \leq 1.9 \cdot 10^{-76}:\\
\;\;\;\;\frac{\sqrt{-16 \cdot \left(F \cdot \left(A \cdot \left(C \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right) - B\_m \cdot B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(-2 \cdot \left(B\_m \cdot F\right)\right)}^{0.5}}{0 - B\_m}\\
\end{array}
\end{array}
if B < 1.9000000000000001e-76Initial program 17.0%
Simplified23.2%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6413.8%
Simplified13.8%
if 1.9000000000000001e-76 < B Initial program 15.8%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6442.2%
Simplified42.2%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr42.4%
Taylor expanded in C around 0
*-lowering-*.f64N/A
*-lowering-*.f6438.3%
Simplified38.3%
Final simplification22.1%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (if (<= A -2.2e+115) (/ (pow (- 0.0 (/ (* F (* B_m B_m)) C)) 0.5) (- 0.0 B_m)) (/ (pow (* -2.0 (* B_m 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 (A <= -2.2e+115) {
tmp = pow((0.0 - ((F * (B_m * B_m)) / C)), 0.5) / (0.0 - B_m);
} else {
tmp = pow((-2.0 * (B_m * 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 (a <= (-2.2d+115)) then
tmp = ((0.0d0 - ((f * (b_m * b_m)) / c)) ** 0.5d0) / (0.0d0 - b_m)
else
tmp = (((-2.0d0) * (b_m * 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 (A <= -2.2e+115) {
tmp = Math.pow((0.0 - ((F * (B_m * B_m)) / C)), 0.5) / (0.0 - B_m);
} else {
tmp = Math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if A <= -2.2e+115: tmp = math.pow((0.0 - ((F * (B_m * B_m)) / C)), 0.5) / (0.0 - B_m) else: tmp = math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (A <= -2.2e+115) tmp = Float64((Float64(0.0 - Float64(Float64(F * Float64(B_m * B_m)) / C)) ^ 0.5) / Float64(0.0 - B_m)); else tmp = Float64((Float64(-2.0 * Float64(B_m * 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 (A <= -2.2e+115) tmp = ((0.0 - ((F * (B_m * B_m)) / C)) ^ 0.5) / (0.0 - B_m); else tmp = ((-2.0 * (B_m * 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[A, -2.2e+115], N[(N[Power[N[(0.0 - N[(N[(F * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision] / C), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;A \leq -2.2 \cdot 10^{+115}:\\
\;\;\;\;\frac{{\left(0 - \frac{F \cdot \left(B\_m \cdot B\_m\right)}{C}\right)}^{0.5}}{0 - B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(-2 \cdot \left(B\_m \cdot F\right)\right)}^{0.5}}{0 - B\_m}\\
\end{array}
\end{array}
if A < -2.2e115Initial program 9.6%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f643.5%
Simplified3.5%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr3.5%
Taylor expanded in C around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6413.9%
Simplified13.9%
if -2.2e115 < A Initial program 17.8%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6419.0%
Simplified19.0%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr19.2%
Taylor expanded in C around 0
*-lowering-*.f64N/A
*-lowering-*.f6416.9%
Simplified16.9%
Final simplification16.4%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (if (<= A -2.5e+115) (/ (sqrt (- 0.0 (/ (* F (* B_m B_m)) C))) (- 0.0 B_m)) (/ (pow (* -2.0 (* B_m 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 (A <= -2.5e+115) {
tmp = sqrt((0.0 - ((F * (B_m * B_m)) / C))) / (0.0 - B_m);
} else {
tmp = pow((-2.0 * (B_m * 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 (a <= (-2.5d+115)) then
tmp = sqrt((0.0d0 - ((f * (b_m * b_m)) / c))) / (0.0d0 - b_m)
else
tmp = (((-2.0d0) * (b_m * 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 (A <= -2.5e+115) {
tmp = Math.sqrt((0.0 - ((F * (B_m * B_m)) / C))) / (0.0 - B_m);
} else {
tmp = Math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if A <= -2.5e+115: tmp = math.sqrt((0.0 - ((F * (B_m * B_m)) / C))) / (0.0 - B_m) else: tmp = math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (A <= -2.5e+115) tmp = Float64(sqrt(Float64(0.0 - Float64(Float64(F * Float64(B_m * B_m)) / C))) / Float64(0.0 - B_m)); else tmp = Float64((Float64(-2.0 * Float64(B_m * 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 (A <= -2.5e+115) tmp = sqrt((0.0 - ((F * (B_m * B_m)) / C))) / (0.0 - B_m); else tmp = ((-2.0 * (B_m * 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[A, -2.5e+115], N[(N[Sqrt[N[(0.0 - N[(N[(F * N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision] / C), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;A \leq -2.5 \cdot 10^{+115}:\\
\;\;\;\;\frac{\sqrt{0 - \frac{F \cdot \left(B\_m \cdot B\_m\right)}{C}}}{0 - B\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(-2 \cdot \left(B\_m \cdot F\right)\right)}^{0.5}}{0 - B\_m}\\
\end{array}
\end{array}
if A < -2.50000000000000004e115Initial program 9.6%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f643.5%
Simplified3.5%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr3.5%
/-lowering-/.f64N/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
*-lowering-*.f643.5%
Applied egg-rr3.5%
Taylor expanded in C around inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6413.8%
Simplified13.8%
if -2.50000000000000004e115 < A Initial program 17.8%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6419.0%
Simplified19.0%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr19.2%
Taylor expanded in C around 0
*-lowering-*.f64N/A
*-lowering-*.f6416.9%
Simplified16.9%
Final simplification16.4%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (if (<= A -5.5e+190) (* -2.0 (* (sqrt (* A F)) (/ 1.0 B_m))) (/ (pow (* -2.0 (* B_m 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 (A <= -5.5e+190) {
tmp = -2.0 * (sqrt((A * F)) * (1.0 / B_m));
} else {
tmp = pow((-2.0 * (B_m * 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 (a <= (-5.5d+190)) then
tmp = (-2.0d0) * (sqrt((a * f)) * (1.0d0 / b_m))
else
tmp = (((-2.0d0) * (b_m * 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 (A <= -5.5e+190) {
tmp = -2.0 * (Math.sqrt((A * F)) * (1.0 / B_m));
} else {
tmp = Math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m);
}
return tmp;
}
B_m = math.fabs(B) def code(A, B_m, C, F): tmp = 0 if A <= -5.5e+190: tmp = -2.0 * (math.sqrt((A * F)) * (1.0 / B_m)) else: tmp = math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m) return tmp
B_m = abs(B) function code(A, B_m, C, F) tmp = 0.0 if (A <= -5.5e+190) tmp = Float64(-2.0 * Float64(sqrt(Float64(A * F)) * Float64(1.0 / B_m))); else tmp = Float64((Float64(-2.0 * Float64(B_m * 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 (A <= -5.5e+190) tmp = -2.0 * (sqrt((A * F)) * (1.0 / B_m)); else tmp = ((-2.0 * (B_m * 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[A, -5.5e+190], N[(-2.0 * N[(N[Sqrt[N[(A * F), $MachinePrecision]], $MachinePrecision] * N[(1.0 / B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
\begin{array}{l}
\mathbf{if}\;A \leq -5.5 \cdot 10^{+190}:\\
\;\;\;\;-2 \cdot \left(\sqrt{A \cdot F} \cdot \frac{1}{B\_m}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(-2 \cdot \left(B\_m \cdot F\right)\right)}^{0.5}}{0 - B\_m}\\
\end{array}
\end{array}
if A < -5.5e190Initial program 1.7%
Simplified27.5%
Taylor expanded in B around inf
unpow2N/A
*-lowering-*.f6413.1%
Simplified13.1%
Taylor expanded in A around -inf
*-lowering-*.f6413.1%
Simplified13.1%
Taylor expanded in B around inf
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f649.7%
Simplified9.7%
if -5.5e190 < A Initial program 18.3%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6418.1%
Simplified18.1%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr18.3%
Taylor expanded in C around 0
*-lowering-*.f64N/A
*-lowering-*.f6416.1%
Simplified16.1%
Final simplification15.4%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (/ (pow (* -2.0 (* B_m F)) 0.5) (- 0.0 B_m)))
B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
return pow((-2.0 * (B_m * F)), 0.5) / (0.0 - 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 = (((-2.0d0) * (b_m * f)) ** 0.5d0) / (0.0d0 - 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((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m);
}
B_m = math.fabs(B) def code(A, B_m, C, F): return math.pow((-2.0 * (B_m * F)), 0.5) / (0.0 - B_m)
B_m = abs(B) function code(A, B_m, C, F) return Float64((Float64(-2.0 * Float64(B_m * F)) ^ 0.5) / Float64(0.0 - B_m)) end
B_m = abs(B); function tmp = code(A, B_m, C, F) tmp = ((-2.0 * (B_m * F)) ^ 0.5) / (0.0 - B_m); end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := N[(N[Power[N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
\frac{{\left(-2 \cdot \left(B\_m \cdot F\right)\right)}^{0.5}}{0 - B\_m}
\end{array}
Initial program 16.6%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6416.7%
Simplified16.7%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr16.8%
Taylor expanded in C around 0
*-lowering-*.f64N/A
*-lowering-*.f6414.8%
Simplified14.8%
Final simplification14.8%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (/ (sqrt (* -2.0 (* B_m F))) (- 0.0 B_m)))
B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
return sqrt((-2.0 * (B_m * F))) / (0.0 - 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(((-2.0d0) * (b_m * f))) / (0.0d0 - 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((-2.0 * (B_m * F))) / (0.0 - B_m);
}
B_m = math.fabs(B) def code(A, B_m, C, F): return math.sqrt((-2.0 * (B_m * F))) / (0.0 - B_m)
B_m = abs(B) function code(A, B_m, C, F) return Float64(sqrt(Float64(-2.0 * Float64(B_m * F))) / Float64(0.0 - B_m)) end
B_m = abs(B); function tmp = code(A, B_m, C, F) tmp = sqrt((-2.0 * (B_m * F))) / (0.0 - B_m); end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := N[(N[Sqrt[N[(-2.0 * N[(B$95$m * F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(0.0 - B$95$m), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
\frac{\sqrt{-2 \cdot \left(B\_m \cdot F\right)}}{0 - B\_m}
\end{array}
Initial program 16.6%
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
unpow2N/A
unpow2N/A
hypot-defineN/A
hypot-lowering-hypot.f6416.7%
Simplified16.7%
associate-*l*N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr16.8%
/-lowering-/.f64N/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
+-commutativeN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
*-lowering-*.f6416.8%
Applied egg-rr16.8%
Taylor expanded in C around 0
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6414.8%
Simplified14.8%
Final simplification14.8%
B_m = (fabs.f64 B) (FPCore (A B_m C F) :precision binary64 (* -2.0 (/ (sqrt (* C F)) B_m)))
B_m = fabs(B);
double code(double A, double B_m, double C, double F) {
return -2.0 * (sqrt((C * F)) / 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 = (-2.0d0) * (sqrt((c * f)) / b_m)
end function
B_m = Math.abs(B);
public static double code(double A, double B_m, double C, double F) {
return -2.0 * (Math.sqrt((C * F)) / B_m);
}
B_m = math.fabs(B) def code(A, B_m, C, F): return -2.0 * (math.sqrt((C * F)) / B_m)
B_m = abs(B) function code(A, B_m, C, F) return Float64(-2.0 * Float64(sqrt(Float64(C * F)) / B_m)) end
B_m = abs(B); function tmp = code(A, B_m, C, F) tmp = -2.0 * (sqrt((C * F)) / B_m); end
B_m = N[Abs[B], $MachinePrecision] code[A_, B$95$m_, C_, F_] := N[(-2.0 * N[(N[Sqrt[N[(C * F), $MachinePrecision]], $MachinePrecision] / B$95$m), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
-2 \cdot \frac{\sqrt{C \cdot F}}{B\_m}
\end{array}
Initial program 16.6%
Simplified22.1%
Taylor expanded in B around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Simplified12.2%
Taylor expanded in A around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f643.4%
Simplified3.4%
*-lowering-*.f64N/A
un-div-invN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-commutativeN/A
*-lowering-*.f643.4%
Applied egg-rr3.4%
Taylor expanded in B around 0
*-lowering-*.f64N/A
associate-*l/N/A
*-lft-identityN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
*-commutativeN/A
*-lowering-*.f643.4%
Simplified3.4%
Final simplification3.4%
herbie shell --seed 2024152
(FPCore (A B C F)
:name "ABCF->ab-angle b"
: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))))