
(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 15 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)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (hypot (- A C) B_m))
(t_1 (- (pow B_m 2.0) (* (* 4.0 A) C)))
(t_2 (* 2.0 (* t_1 F)))
(t_3 (- t_1))
(t_4
(/
(sqrt (* t_2 (- (+ A C) (sqrt (+ (pow (- A C) 2.0) (pow B_m 2.0))))))
t_3))
(t_5 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= t_4 (- INFINITY))
(- (sqrt (* 2.0 (* (/ (- (+ C A) t_0) t_5) F))))
(if (<= t_4 -5e-187)
(/
(sqrt (* t_2 (fma (fma C C (- (pow t_0 2.0))) (pow (+ C t_0) -1.0) A)))
t_3)
(if (<= t_4 INFINITY)
(/
(sqrt (* t_5 (* (+ (fma (/ (* B_m B_m) C) -0.5 A) A) (* F 2.0))))
(- t_5))
(* (/ (sqrt 2.0) (- B_m)) (sqrt (* (- A (hypot A B_m)) F))))))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = hypot((A - C), B_m);
double t_1 = pow(B_m, 2.0) - ((4.0 * A) * C);
double t_2 = 2.0 * (t_1 * F);
double t_3 = -t_1;
double t_4 = sqrt((t_2 * ((A + C) - sqrt((pow((A - C), 2.0) + pow(B_m, 2.0)))))) / t_3;
double t_5 = fma((-4.0 * C), A, (B_m * B_m));
double tmp;
if (t_4 <= -((double) INFINITY)) {
tmp = -sqrt((2.0 * ((((C + A) - t_0) / t_5) * F)));
} else if (t_4 <= -5e-187) {
tmp = sqrt((t_2 * fma(fma(C, C, -pow(t_0, 2.0)), pow((C + t_0), -1.0), A))) / t_3;
} else if (t_4 <= ((double) INFINITY)) {
tmp = sqrt((t_5 * ((fma(((B_m * B_m) / C), -0.5, A) + A) * (F * 2.0)))) / -t_5;
} else {
tmp = (sqrt(2.0) / -B_m) * sqrt(((A - hypot(A, B_m)) * F));
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = hypot(Float64(A - C), B_m) t_1 = Float64((B_m ^ 2.0) - Float64(Float64(4.0 * A) * C)) t_2 = Float64(2.0 * Float64(t_1 * F)) t_3 = Float64(-t_1) t_4 = Float64(sqrt(Float64(t_2 * Float64(Float64(A + C) - sqrt(Float64((Float64(A - C) ^ 2.0) + (B_m ^ 2.0)))))) / t_3) t_5 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) tmp = 0.0 if (t_4 <= Float64(-Inf)) tmp = Float64(-sqrt(Float64(2.0 * Float64(Float64(Float64(Float64(C + A) - t_0) / t_5) * F)))); elseif (t_4 <= -5e-187) tmp = Float64(sqrt(Float64(t_2 * fma(fma(C, C, Float64(-(t_0 ^ 2.0))), (Float64(C + t_0) ^ -1.0), A))) / t_3); elseif (t_4 <= Inf) tmp = Float64(sqrt(Float64(t_5 * Float64(Float64(fma(Float64(Float64(B_m * B_m) / C), -0.5, A) + A) * Float64(F * 2.0)))) / Float64(-t_5)); else tmp = Float64(Float64(sqrt(2.0) / Float64(-B_m)) * sqrt(Float64(Float64(A - hypot(A, B_m)) * F))); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[Sqrt[N[(A - C), $MachinePrecision] ^ 2 + B$95$m ^ 2], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[B$95$m, 2.0], $MachinePrecision] - N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(2.0 * N[(t$95$1 * F), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = (-t$95$1)}, Block[{t$95$4 = N[(N[Sqrt[N[(t$95$2 * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, (-Infinity)], (-N[Sqrt[N[(2.0 * N[(N[(N[(N[(C + A), $MachinePrecision] - t$95$0), $MachinePrecision] / t$95$5), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), If[LessEqual[t$95$4, -5e-187], N[(N[Sqrt[N[(t$95$2 * N[(N[(C * C + (-N[Power[t$95$0, 2.0], $MachinePrecision])), $MachinePrecision] * N[Power[N[(C + t$95$0), $MachinePrecision], -1.0], $MachinePrecision] + A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[t$95$4, Infinity], N[(N[Sqrt[N[(t$95$5 * N[(N[(N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] / C), $MachinePrecision] * -0.5 + A), $MachinePrecision] + A), $MachinePrecision] * N[(F * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$5)), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] / (-B$95$m)), $MachinePrecision] * N[Sqrt[N[(N[(A - N[Sqrt[A ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision] * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{hypot}\left(A - C, B\_m\right)\\
t_1 := {B\_m}^{2} - \left(4 \cdot A\right) \cdot C\\
t_2 := 2 \cdot \left(t\_1 \cdot F\right)\\
t_3 := -t\_1\\
t_4 := \frac{\sqrt{t\_2 \cdot \left(\left(A + C\right) - \sqrt{{\left(A - C\right)}^{2} + {B\_m}^{2}}\right)}}{t\_3}\\
t_5 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
\mathbf{if}\;t\_4 \leq -\infty:\\
\;\;\;\;-\sqrt{2 \cdot \left(\frac{\left(C + A\right) - t\_0}{t\_5} \cdot F\right)}\\
\mathbf{elif}\;t\_4 \leq -5 \cdot 10^{-187}:\\
\;\;\;\;\frac{\sqrt{t\_2 \cdot \mathsf{fma}\left(\mathsf{fma}\left(C, C, -{t\_0}^{2}\right), {\left(C + t\_0\right)}^{-1}, A\right)}}{t\_3}\\
\mathbf{elif}\;t\_4 \leq \infty:\\
\;\;\;\;\frac{\sqrt{t\_5 \cdot \left(\left(\mathsf{fma}\left(\frac{B\_m \cdot B\_m}{C}, -0.5, A\right) + A\right) \cdot \left(F \cdot 2\right)\right)}}{-t\_5}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{2}}{-B\_m} \cdot \sqrt{\left(A - \mathsf{hypot}\left(A, B\_m\right)\right) \cdot F}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (-.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -inf.0Initial program 3.1%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites53.7%
Applied rewrites53.9%
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))) < -4.9999999999999996e-187Initial program 99.5%
lift--.f64N/A
lift-+.f64N/A
associate--l+N/A
+-commutativeN/A
flip--N/A
div-invN/A
lower-fma.f64N/A
Applied rewrites74.6%
if -4.9999999999999996e-187 < (/.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 19.4%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6433.5
Applied rewrites33.5%
Applied rewrites33.5%
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites36.2%
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 C around 0
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6416.5
Applied rewrites16.5%
Final simplification36.7%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (fma -4.0 (* C A) (* B_m B_m)))
(t_1 (- (+ C A) (hypot (- A C) B_m)))
(t_2 (- (pow B_m 2.0) (* (* 4.0 A) C)))
(t_3
(/
(sqrt
(*
(* 2.0 (* t_2 F))
(- (+ A C) (sqrt (+ (pow (- A C) 2.0) (pow B_m 2.0))))))
(- t_2)))
(t_4 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= t_3 (- INFINITY))
(- (sqrt (* 2.0 (* (/ t_1 t_4) F))))
(if (<= t_3 -5e-187)
(/ (sqrt (* t_1 (* (* 2.0 F) t_0))) (- t_0))
(if (<= t_3 INFINITY)
(/
(sqrt (* t_4 (* (+ (fma (/ (* B_m B_m) C) -0.5 A) A) (* F 2.0))))
(- t_4))
(* (/ (sqrt 2.0) (- B_m)) (sqrt (* (- A (hypot A B_m)) F))))))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = fma(-4.0, (C * A), (B_m * B_m));
double t_1 = (C + A) - hypot((A - C), B_m);
double t_2 = pow(B_m, 2.0) - ((4.0 * A) * C);
double t_3 = sqrt(((2.0 * (t_2 * F)) * ((A + C) - sqrt((pow((A - C), 2.0) + pow(B_m, 2.0)))))) / -t_2;
double t_4 = fma((-4.0 * C), A, (B_m * B_m));
double tmp;
if (t_3 <= -((double) INFINITY)) {
tmp = -sqrt((2.0 * ((t_1 / t_4) * F)));
} else if (t_3 <= -5e-187) {
tmp = sqrt((t_1 * ((2.0 * F) * t_0))) / -t_0;
} else if (t_3 <= ((double) INFINITY)) {
tmp = sqrt((t_4 * ((fma(((B_m * B_m) / C), -0.5, A) + A) * (F * 2.0)))) / -t_4;
} else {
tmp = (sqrt(2.0) / -B_m) * sqrt(((A - hypot(A, B_m)) * F));
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = fma(-4.0, Float64(C * A), Float64(B_m * B_m)) t_1 = Float64(Float64(C + A) - hypot(Float64(A - C), B_m)) t_2 = Float64((B_m ^ 2.0) - Float64(Float64(4.0 * A) * C)) t_3 = Float64(sqrt(Float64(Float64(2.0 * Float64(t_2 * F)) * Float64(Float64(A + C) - sqrt(Float64((Float64(A - C) ^ 2.0) + (B_m ^ 2.0)))))) / Float64(-t_2)) t_4 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) tmp = 0.0 if (t_3 <= Float64(-Inf)) tmp = Float64(-sqrt(Float64(2.0 * Float64(Float64(t_1 / t_4) * F)))); elseif (t_3 <= -5e-187) tmp = Float64(sqrt(Float64(t_1 * Float64(Float64(2.0 * F) * t_0))) / Float64(-t_0)); elseif (t_3 <= Inf) tmp = Float64(sqrt(Float64(t_4 * Float64(Float64(fma(Float64(Float64(B_m * B_m) / C), -0.5, A) + A) * Float64(F * 2.0)))) / Float64(-t_4)); else tmp = Float64(Float64(sqrt(2.0) / Float64(-B_m)) * sqrt(Float64(Float64(A - hypot(A, B_m)) * F))); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(-4.0 * N[(C * A), $MachinePrecision] + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(C + A), $MachinePrecision] - N[Sqrt[N[(A - C), $MachinePrecision] ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[B$95$m, 2.0], $MachinePrecision] - N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(N[(2.0 * N[(t$95$2 * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$2)), $MachinePrecision]}, Block[{t$95$4 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, (-Infinity)], (-N[Sqrt[N[(2.0 * N[(N[(t$95$1 / t$95$4), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), If[LessEqual[t$95$3, -5e-187], N[(N[Sqrt[N[(t$95$1 * N[(N[(2.0 * F), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$0)), $MachinePrecision], If[LessEqual[t$95$3, Infinity], N[(N[Sqrt[N[(t$95$4 * N[(N[(N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] / C), $MachinePrecision] * -0.5 + A), $MachinePrecision] + A), $MachinePrecision] * N[(F * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$4)), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] / (-B$95$m)), $MachinePrecision] * N[Sqrt[N[(N[(A - N[Sqrt[A ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision] * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4, C \cdot A, B\_m \cdot B\_m\right)\\
t_1 := \left(C + A\right) - \mathsf{hypot}\left(A - C, B\_m\right)\\
t_2 := {B\_m}^{2} - \left(4 \cdot A\right) \cdot C\\
t_3 := \frac{\sqrt{\left(2 \cdot \left(t\_2 \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{\left(A - C\right)}^{2} + {B\_m}^{2}}\right)}}{-t\_2}\\
t_4 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
\mathbf{if}\;t\_3 \leq -\infty:\\
\;\;\;\;-\sqrt{2 \cdot \left(\frac{t\_1}{t\_4} \cdot F\right)}\\
\mathbf{elif}\;t\_3 \leq -5 \cdot 10^{-187}:\\
\;\;\;\;\frac{\sqrt{t\_1 \cdot \left(\left(2 \cdot F\right) \cdot t\_0\right)}}{-t\_0}\\
\mathbf{elif}\;t\_3 \leq \infty:\\
\;\;\;\;\frac{\sqrt{t\_4 \cdot \left(\left(\mathsf{fma}\left(\frac{B\_m \cdot B\_m}{C}, -0.5, A\right) + A\right) \cdot \left(F \cdot 2\right)\right)}}{-t\_4}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{2}}{-B\_m} \cdot \sqrt{\left(A - \mathsf{hypot}\left(A, B\_m\right)\right) \cdot F}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (-.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -inf.0Initial program 3.1%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites53.7%
Applied rewrites53.9%
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))) < -4.9999999999999996e-187Initial program 99.5%
lift-/.f64N/A
frac-2negN/A
lift-neg.f64N/A
remove-double-negN/A
lower-/.f64N/A
Applied rewrites99.5%
if -4.9999999999999996e-187 < (/.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 19.4%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6433.5
Applied rewrites33.5%
Applied rewrites33.5%
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites36.2%
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 C around 0
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6416.5
Applied rewrites16.5%
Final simplification40.1%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= (pow B_m 2.0) 200.0)
(/ (sqrt (* (+ A A) (* (* F 2.0) t_0))) (- t_0))
(if (<= (pow B_m 2.0) 4e+214)
(- (sqrt (* 2.0 (* (/ (- (+ C A) (hypot (- A C) B_m)) t_0) F))))
(* (/ (sqrt 2.0) (- B_m)) (sqrt (* (- A (hypot A B_m)) F)))))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = fma((-4.0 * C), A, (B_m * B_m));
double tmp;
if (pow(B_m, 2.0) <= 200.0) {
tmp = sqrt(((A + A) * ((F * 2.0) * t_0))) / -t_0;
} else if (pow(B_m, 2.0) <= 4e+214) {
tmp = -sqrt((2.0 * ((((C + A) - hypot((A - C), B_m)) / t_0) * F)));
} else {
tmp = (sqrt(2.0) / -B_m) * sqrt(((A - hypot(A, B_m)) * F));
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) tmp = 0.0 if ((B_m ^ 2.0) <= 200.0) tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(F * 2.0) * t_0))) / Float64(-t_0)); elseif ((B_m ^ 2.0) <= 4e+214) tmp = Float64(-sqrt(Float64(2.0 * Float64(Float64(Float64(Float64(C + A) - hypot(Float64(A - C), B_m)) / t_0) * F)))); else tmp = Float64(Float64(sqrt(2.0) / Float64(-B_m)) * sqrt(Float64(Float64(A - hypot(A, B_m)) * F))); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 200.0], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(F * 2.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$0)), $MachinePrecision], If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 4e+214], (-N[Sqrt[N[(2.0 * N[(N[(N[(N[(C + A), $MachinePrecision] - N[Sqrt[N[(A - C), $MachinePrecision] ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), N[(N[(N[Sqrt[2.0], $MachinePrecision] / (-B$95$m)), $MachinePrecision] * N[Sqrt[N[(N[(A - N[Sqrt[A ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision] * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
\mathbf{if}\;{B\_m}^{2} \leq 200:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(\left(F \cdot 2\right) \cdot t\_0\right)}}{-t\_0}\\
\mathbf{elif}\;{B\_m}^{2} \leq 4 \cdot 10^{+214}:\\
\;\;\;\;-\sqrt{2 \cdot \left(\frac{\left(C + A\right) - \mathsf{hypot}\left(A - C, B\_m\right)}{t\_0} \cdot F\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{2}}{-B\_m} \cdot \sqrt{\left(A - \mathsf{hypot}\left(A, B\_m\right)\right) \cdot F}\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 200Initial program 23.4%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6425.0
Applied rewrites25.0%
Applied rewrites25.0%
Taylor expanded in C around inf
lower--.f64N/A
mul-1-negN/A
lower-neg.f6425.0
Applied rewrites25.0%
if 200 < (pow.f64 B #s(literal 2 binary64)) < 3.9999999999999998e214Initial program 25.1%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites55.3%
Applied rewrites55.5%
if 3.9999999999999998e214 < (pow.f64 B #s(literal 2 binary64)) Initial program 7.9%
Taylor expanded in C around 0
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6422.9
Applied rewrites22.9%
Final simplification29.5%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (- (sqrt 2.0))))
(if (<= (pow B_m 2.0) 5e-290)
(*
(sqrt (* (* (* (* (+ A A) F) C) A) -8.0))
(/ -1.0 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= (pow B_m 2.0) 2e+82)
(* (sqrt (* F (/ -0.5 C))) t_0)
(* (sqrt (* F (/ (+ (/ A B_m) (- (/ C B_m) 1.0)) B_m))) t_0)))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = -sqrt(2.0);
double tmp;
if (pow(B_m, 2.0) <= 5e-290) {
tmp = sqrt((((((A + A) * F) * C) * A) * -8.0)) * (-1.0 / fma((-4.0 * C), A, (B_m * B_m)));
} else if (pow(B_m, 2.0) <= 2e+82) {
tmp = sqrt((F * (-0.5 / C))) * t_0;
} else {
tmp = sqrt((F * (((A / B_m) + ((C / B_m) - 1.0)) / B_m))) * t_0;
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = Float64(-sqrt(2.0)) tmp = 0.0 if ((B_m ^ 2.0) <= 5e-290) tmp = Float64(sqrt(Float64(Float64(Float64(Float64(Float64(A + A) * F) * C) * A) * -8.0)) * Float64(-1.0 / fma(Float64(-4.0 * C), A, Float64(B_m * B_m)))); elseif ((B_m ^ 2.0) <= 2e+82) tmp = Float64(sqrt(Float64(F * Float64(-0.5 / C))) * t_0); else tmp = Float64(sqrt(Float64(F * Float64(Float64(Float64(A / B_m) + Float64(Float64(C / B_m) - 1.0)) / B_m))) * t_0); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = (-N[Sqrt[2.0], $MachinePrecision])}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e-290], N[(N[Sqrt[N[(N[(N[(N[(N[(A + A), $MachinePrecision] * F), $MachinePrecision] * C), $MachinePrecision] * A), $MachinePrecision] * -8.0), $MachinePrecision]], $MachinePrecision] * N[(-1.0 / N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 2e+82], N[(N[Sqrt[N[(F * N[(-0.5 / C), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision], N[(N[Sqrt[N[(F * N[(N[(N[(A / B$95$m), $MachinePrecision] + N[(N[(C / B$95$m), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := -\sqrt{2}\\
\mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{-290}:\\
\;\;\;\;\sqrt{\left(\left(\left(\left(A + A\right) \cdot F\right) \cdot C\right) \cdot A\right) \cdot -8} \cdot \frac{-1}{\mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)}\\
\mathbf{elif}\;{B\_m}^{2} \leq 2 \cdot 10^{+82}:\\
\;\;\;\;\sqrt{F \cdot \frac{-0.5}{C}} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F \cdot \frac{\frac{A}{B\_m} + \left(\frac{C}{B\_m} - 1\right)}{B\_m}} \cdot t\_0\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 5.0000000000000001e-290Initial program 18.8%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6426.7
Applied rewrites26.7%
Applied rewrites26.7%
Taylor expanded in C around inf
*-commutativeN/A
rem-square-sqrtN/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
unpow2N/A
rem-square-sqrt25.4
Applied rewrites25.4%
if 5.0000000000000001e-290 < (pow.f64 B #s(literal 2 binary64)) < 1.9999999999999999e82Initial program 26.8%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites29.3%
Taylor expanded in A around -inf
Applied rewrites19.2%
if 1.9999999999999999e82 < (pow.f64 B #s(literal 2 binary64)) Initial program 12.9%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites29.6%
Taylor expanded in B around inf
Applied rewrites26.4%
Final simplification23.8%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (- (sqrt 2.0))))
(if (<= (pow B_m 2.0) 5e-290)
(*
(sqrt (* (* (* (* (+ A A) F) C) A) -8.0))
(/ -1.0 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= (pow B_m 2.0) 2e+82)
(* (sqrt (* F (/ -0.5 C))) t_0)
(* (sqrt (* F (/ -1.0 B_m))) t_0)))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = -sqrt(2.0);
double tmp;
if (pow(B_m, 2.0) <= 5e-290) {
tmp = sqrt((((((A + A) * F) * C) * A) * -8.0)) * (-1.0 / fma((-4.0 * C), A, (B_m * B_m)));
} else if (pow(B_m, 2.0) <= 2e+82) {
tmp = sqrt((F * (-0.5 / C))) * t_0;
} else {
tmp = sqrt((F * (-1.0 / B_m))) * t_0;
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = Float64(-sqrt(2.0)) tmp = 0.0 if ((B_m ^ 2.0) <= 5e-290) tmp = Float64(sqrt(Float64(Float64(Float64(Float64(Float64(A + A) * F) * C) * A) * -8.0)) * Float64(-1.0 / fma(Float64(-4.0 * C), A, Float64(B_m * B_m)))); elseif ((B_m ^ 2.0) <= 2e+82) tmp = Float64(sqrt(Float64(F * Float64(-0.5 / C))) * t_0); else tmp = Float64(sqrt(Float64(F * Float64(-1.0 / B_m))) * t_0); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = (-N[Sqrt[2.0], $MachinePrecision])}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e-290], N[(N[Sqrt[N[(N[(N[(N[(N[(A + A), $MachinePrecision] * F), $MachinePrecision] * C), $MachinePrecision] * A), $MachinePrecision] * -8.0), $MachinePrecision]], $MachinePrecision] * N[(-1.0 / N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 2e+82], N[(N[Sqrt[N[(F * N[(-0.5 / C), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision], N[(N[Sqrt[N[(F * N[(-1.0 / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := -\sqrt{2}\\
\mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{-290}:\\
\;\;\;\;\sqrt{\left(\left(\left(\left(A + A\right) \cdot F\right) \cdot C\right) \cdot A\right) \cdot -8} \cdot \frac{-1}{\mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)}\\
\mathbf{elif}\;{B\_m}^{2} \leq 2 \cdot 10^{+82}:\\
\;\;\;\;\sqrt{F \cdot \frac{-0.5}{C}} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F \cdot \frac{-1}{B\_m}} \cdot t\_0\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 5.0000000000000001e-290Initial program 18.8%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6426.7
Applied rewrites26.7%
Applied rewrites26.7%
Taylor expanded in C around inf
*-commutativeN/A
rem-square-sqrtN/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
unpow2N/A
rem-square-sqrt25.4
Applied rewrites25.4%
if 5.0000000000000001e-290 < (pow.f64 B #s(literal 2 binary64)) < 1.9999999999999999e82Initial program 26.8%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites29.3%
Taylor expanded in A around -inf
Applied rewrites19.2%
if 1.9999999999999999e82 < (pow.f64 B #s(literal 2 binary64)) Initial program 12.9%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites29.6%
Taylor expanded in B around inf
Applied rewrites24.0%
Final simplification22.8%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (- (sqrt 2.0))))
(if (<= (pow B_m 2.0) 5e-290)
(/
(sqrt (* -8.0 (* A (* C (* F (+ A A))))))
(- (fma (* -4.0 C) A (* B_m B_m))))
(if (<= (pow B_m 2.0) 2e+82)
(* (sqrt (* F (/ -0.5 C))) t_0)
(* (sqrt (* F (/ -1.0 B_m))) t_0)))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = -sqrt(2.0);
double tmp;
if (pow(B_m, 2.0) <= 5e-290) {
tmp = sqrt((-8.0 * (A * (C * (F * (A + A)))))) / -fma((-4.0 * C), A, (B_m * B_m));
} else if (pow(B_m, 2.0) <= 2e+82) {
tmp = sqrt((F * (-0.5 / C))) * t_0;
} else {
tmp = sqrt((F * (-1.0 / B_m))) * t_0;
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = Float64(-sqrt(2.0)) tmp = 0.0 if ((B_m ^ 2.0) <= 5e-290) tmp = Float64(sqrt(Float64(-8.0 * Float64(A * Float64(C * Float64(F * Float64(A + A)))))) / Float64(-fma(Float64(-4.0 * C), A, Float64(B_m * B_m)))); elseif ((B_m ^ 2.0) <= 2e+82) tmp = Float64(sqrt(Float64(F * Float64(-0.5 / C))) * t_0); else tmp = Float64(sqrt(Float64(F * Float64(-1.0 / B_m))) * t_0); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = (-N[Sqrt[2.0], $MachinePrecision])}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e-290], N[(N[Sqrt[N[(-8.0 * N[(A * N[(C * N[(F * N[(A + A), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision])), $MachinePrecision], If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 2e+82], N[(N[Sqrt[N[(F * N[(-0.5 / C), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision], N[(N[Sqrt[N[(F * N[(-1.0 / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := -\sqrt{2}\\
\mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{-290}:\\
\;\;\;\;\frac{\sqrt{-8 \cdot \left(A \cdot \left(C \cdot \left(F \cdot \left(A + A\right)\right)\right)\right)}}{-\mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)}\\
\mathbf{elif}\;{B\_m}^{2} \leq 2 \cdot 10^{+82}:\\
\;\;\;\;\sqrt{F \cdot \frac{-0.5}{C}} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F \cdot \frac{-1}{B\_m}} \cdot t\_0\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 5.0000000000000001e-290Initial program 18.8%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6426.7
Applied rewrites26.7%
Applied rewrites26.7%
Taylor expanded in C around inf
rem-square-sqrtN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
lower-*.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower--.f64N/A
mul-1-negN/A
lower-neg.f6425.5
Applied rewrites25.5%
if 5.0000000000000001e-290 < (pow.f64 B #s(literal 2 binary64)) < 1.9999999999999999e82Initial program 26.8%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites29.3%
Taylor expanded in A around -inf
Applied rewrites19.2%
if 1.9999999999999999e82 < (pow.f64 B #s(literal 2 binary64)) Initial program 12.9%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites29.6%
Taylor expanded in B around inf
Applied rewrites24.0%
Final simplification22.8%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= (pow B_m 2.0) 2e+82)
(*
(sqrt (* (+ (fma -0.5 (/ (* B_m B_m) C) A) A) (* (* F 2.0) t_0)))
(/ -1.0 t_0))
(* (/ (sqrt 2.0) (- B_m)) (sqrt (* (- A (hypot A B_m)) F))))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = fma((-4.0 * C), A, (B_m * B_m));
double tmp;
if (pow(B_m, 2.0) <= 2e+82) {
tmp = sqrt(((fma(-0.5, ((B_m * B_m) / C), A) + A) * ((F * 2.0) * t_0))) * (-1.0 / t_0);
} else {
tmp = (sqrt(2.0) / -B_m) * sqrt(((A - hypot(A, B_m)) * F));
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) tmp = 0.0 if ((B_m ^ 2.0) <= 2e+82) tmp = Float64(sqrt(Float64(Float64(fma(-0.5, Float64(Float64(B_m * B_m) / C), A) + A) * Float64(Float64(F * 2.0) * t_0))) * Float64(-1.0 / t_0)); else tmp = Float64(Float64(sqrt(2.0) / Float64(-B_m)) * sqrt(Float64(Float64(A - hypot(A, B_m)) * F))); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 2e+82], N[(N[Sqrt[N[(N[(N[(-0.5 * N[(N[(B$95$m * B$95$m), $MachinePrecision] / C), $MachinePrecision] + A), $MachinePrecision] + A), $MachinePrecision] * N[(N[(F * 2.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(-1.0 / t$95$0), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[2.0], $MachinePrecision] / (-B$95$m)), $MachinePrecision] * N[Sqrt[N[(N[(A - N[Sqrt[A ^ 2 + B$95$m ^ 2], $MachinePrecision]), $MachinePrecision] * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
\mathbf{if}\;{B\_m}^{2} \leq 2 \cdot 10^{+82}:\\
\;\;\;\;\sqrt{\left(\mathsf{fma}\left(-0.5, \frac{B\_m \cdot B\_m}{C}, A\right) + A\right) \cdot \left(\left(F \cdot 2\right) \cdot t\_0\right)} \cdot \frac{-1}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{2}}{-B\_m} \cdot \sqrt{\left(A - \mathsf{hypot}\left(A, B\_m\right)\right) \cdot F}\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 1.9999999999999999e82Initial program 23.3%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6424.7
Applied rewrites24.7%
Applied rewrites24.7%
if 1.9999999999999999e82 < (pow.f64 B #s(literal 2 binary64)) Initial program 12.9%
Taylor expanded in C around 0
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6423.8
Applied rewrites23.8%
Final simplification24.3%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= (pow B_m 2.0) 1e+108)
(*
(sqrt (* (+ (fma -0.5 (/ (* B_m B_m) C) A) A) (* (* F 2.0) t_0)))
(/ -1.0 t_0))
(* (sqrt (* F (/ (+ (/ A B_m) (- (/ C B_m) 1.0)) B_m))) (- (sqrt 2.0))))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = fma((-4.0 * C), A, (B_m * B_m));
double tmp;
if (pow(B_m, 2.0) <= 1e+108) {
tmp = sqrt(((fma(-0.5, ((B_m * B_m) / C), A) + A) * ((F * 2.0) * t_0))) * (-1.0 / t_0);
} else {
tmp = sqrt((F * (((A / B_m) + ((C / B_m) - 1.0)) / B_m))) * -sqrt(2.0);
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) tmp = 0.0 if ((B_m ^ 2.0) <= 1e+108) tmp = Float64(sqrt(Float64(Float64(fma(-0.5, Float64(Float64(B_m * B_m) / C), A) + A) * Float64(Float64(F * 2.0) * t_0))) * Float64(-1.0 / t_0)); else tmp = Float64(sqrt(Float64(F * Float64(Float64(Float64(A / B_m) + Float64(Float64(C / B_m) - 1.0)) / B_m))) * Float64(-sqrt(2.0))); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 1e+108], N[(N[Sqrt[N[(N[(N[(-0.5 * N[(N[(B$95$m * B$95$m), $MachinePrecision] / C), $MachinePrecision] + A), $MachinePrecision] + A), $MachinePrecision] * N[(N[(F * 2.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(-1.0 / t$95$0), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(F * N[(N[(N[(A / B$95$m), $MachinePrecision] + N[(N[(C / B$95$m), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[2.0], $MachinePrecision])), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
\mathbf{if}\;{B\_m}^{2} \leq 10^{+108}:\\
\;\;\;\;\sqrt{\left(\mathsf{fma}\left(-0.5, \frac{B\_m \cdot B\_m}{C}, A\right) + A\right) \cdot \left(\left(F \cdot 2\right) \cdot t\_0\right)} \cdot \frac{-1}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F \cdot \frac{\frac{A}{B\_m} + \left(\frac{C}{B\_m} - 1\right)}{B\_m}} \cdot \left(-\sqrt{2}\right)\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 1e108Initial program 23.4%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6424.1
Applied rewrites24.1%
Applied rewrites24.1%
if 1e108 < (pow.f64 B #s(literal 2 binary64)) Initial program 11.8%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites27.8%
Taylor expanded in B around inf
Applied rewrites26.1%
Final simplification24.9%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= (pow B_m 2.0) 5e+84)
(* (sqrt (* (+ A A) (* (* F 2.0) t_0))) (/ -1.0 t_0))
(* (sqrt (* F (/ (+ (/ A B_m) (- (/ C B_m) 1.0)) B_m))) (- (sqrt 2.0))))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = fma((-4.0 * C), A, (B_m * B_m));
double tmp;
if (pow(B_m, 2.0) <= 5e+84) {
tmp = sqrt(((A + A) * ((F * 2.0) * t_0))) * (-1.0 / t_0);
} else {
tmp = sqrt((F * (((A / B_m) + ((C / B_m) - 1.0)) / B_m))) * -sqrt(2.0);
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) tmp = 0.0 if ((B_m ^ 2.0) <= 5e+84) tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(F * 2.0) * t_0))) * Float64(-1.0 / t_0)); else tmp = Float64(sqrt(Float64(F * Float64(Float64(Float64(A / B_m) + Float64(Float64(C / B_m) - 1.0)) / B_m))) * Float64(-sqrt(2.0))); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e+84], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(F * 2.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(-1.0 / t$95$0), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(F * N[(N[(N[(A / B$95$m), $MachinePrecision] + N[(N[(C / B$95$m), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[2.0], $MachinePrecision])), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
\mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{+84}:\\
\;\;\;\;\sqrt{\left(A + A\right) \cdot \left(\left(F \cdot 2\right) \cdot t\_0\right)} \cdot \frac{-1}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F \cdot \frac{\frac{A}{B\_m} + \left(\frac{C}{B\_m} - 1\right)}{B\_m}} \cdot \left(-\sqrt{2}\right)\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 5.0000000000000001e84Initial program 23.8%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6424.6
Applied rewrites24.6%
Applied rewrites24.6%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f6424.5
Applied rewrites24.5%
if 5.0000000000000001e84 < (pow.f64 B #s(literal 2 binary64)) Initial program 12.1%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites28.9%
Taylor expanded in B around inf
Applied rewrites26.5%
Final simplification25.3%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= (pow B_m 2.0) 5e+84)
(/ (sqrt (* (+ A A) (* (* F 2.0) t_0))) (- t_0))
(* (sqrt (* F (/ (+ (/ A B_m) (- (/ C B_m) 1.0)) B_m))) (- (sqrt 2.0))))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = fma((-4.0 * C), A, (B_m * B_m));
double tmp;
if (pow(B_m, 2.0) <= 5e+84) {
tmp = sqrt(((A + A) * ((F * 2.0) * t_0))) / -t_0;
} else {
tmp = sqrt((F * (((A / B_m) + ((C / B_m) - 1.0)) / B_m))) * -sqrt(2.0);
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) tmp = 0.0 if ((B_m ^ 2.0) <= 5e+84) tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(F * 2.0) * t_0))) / Float64(-t_0)); else tmp = Float64(sqrt(Float64(F * Float64(Float64(Float64(A / B_m) + Float64(Float64(C / B_m) - 1.0)) / B_m))) * Float64(-sqrt(2.0))); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e+84], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(F * 2.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$0)), $MachinePrecision], N[(N[Sqrt[N[(F * N[(N[(N[(A / B$95$m), $MachinePrecision] + N[(N[(C / B$95$m), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[2.0], $MachinePrecision])), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
\mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{+84}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(\left(F \cdot 2\right) \cdot t\_0\right)}}{-t\_0}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F \cdot \frac{\frac{A}{B\_m} + \left(\frac{C}{B\_m} - 1\right)}{B\_m}} \cdot \left(-\sqrt{2}\right)\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 5.0000000000000001e84Initial program 23.8%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6424.6
Applied rewrites24.6%
Applied rewrites24.6%
Taylor expanded in C around inf
lower--.f64N/A
mul-1-negN/A
lower-neg.f6424.5
Applied rewrites24.5%
if 5.0000000000000001e84 < (pow.f64 B #s(literal 2 binary64)) Initial program 12.1%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites28.9%
Taylor expanded in B around inf
Applied rewrites26.5%
Final simplification25.4%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= B_m 1e+55)
(/
(sqrt (* (+ (fma -0.5 (/ (* B_m B_m) C) A) A) (* (* F 2.0) t_0)))
(- t_0))
(* (sqrt (* F (/ (+ (/ A B_m) (- (/ C B_m) 1.0)) B_m))) (- (sqrt 2.0))))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = fma((-4.0 * C), A, (B_m * B_m));
double tmp;
if (B_m <= 1e+55) {
tmp = sqrt(((fma(-0.5, ((B_m * B_m) / C), A) + A) * ((F * 2.0) * t_0))) / -t_0;
} else {
tmp = sqrt((F * (((A / B_m) + ((C / B_m) - 1.0)) / B_m))) * -sqrt(2.0);
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) tmp = 0.0 if (B_m <= 1e+55) tmp = Float64(sqrt(Float64(Float64(fma(-0.5, Float64(Float64(B_m * B_m) / C), A) + A) * Float64(Float64(F * 2.0) * t_0))) / Float64(-t_0)); else tmp = Float64(sqrt(Float64(F * Float64(Float64(Float64(A / B_m) + Float64(Float64(C / B_m) - 1.0)) / B_m))) * Float64(-sqrt(2.0))); end return tmp end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[B$95$m, 1e+55], N[(N[Sqrt[N[(N[(N[(-0.5 * N[(N[(B$95$m * B$95$m), $MachinePrecision] / C), $MachinePrecision] + A), $MachinePrecision] + A), $MachinePrecision] * N[(N[(F * 2.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$0)), $MachinePrecision], N[(N[Sqrt[N[(F * N[(N[(N[(A / B$95$m), $MachinePrecision] + N[(N[(C / B$95$m), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[2.0], $MachinePrecision])), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
\mathbf{if}\;B\_m \leq 10^{+55}:\\
\;\;\;\;\frac{\sqrt{\left(\mathsf{fma}\left(-0.5, \frac{B\_m \cdot B\_m}{C}, A\right) + A\right) \cdot \left(\left(F \cdot 2\right) \cdot t\_0\right)}}{-t\_0}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F \cdot \frac{\frac{A}{B\_m} + \left(\frac{C}{B\_m} - 1\right)}{B\_m}} \cdot \left(-\sqrt{2}\right)\\
\end{array}
\end{array}
if B < 1.00000000000000001e55Initial program 21.4%
Taylor expanded in C around inf
sub-negN/A
mul-1-negN/A
remove-double-negN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6418.5
Applied rewrites18.5%
Applied rewrites18.5%
if 1.00000000000000001e55 < B Initial program 7.1%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites25.4%
Taylor expanded in B around inf
Applied rewrites51.2%
Final simplification24.3%
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
:precision binary64
(let* ((t_0 (- (sqrt 2.0))))
(if (<= B_m 1.95e+42)
(* (sqrt (* F (/ -0.5 C))) t_0)
(* (sqrt (* F (/ -1.0 B_m))) t_0))))B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
double t_0 = -sqrt(2.0);
double tmp;
if (B_m <= 1.95e+42) {
tmp = sqrt((F * (-0.5 / C))) * t_0;
} else {
tmp = sqrt((F * (-1.0 / B_m))) * t_0;
}
return tmp;
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
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 = -sqrt(2.0d0)
if (b_m <= 1.95d+42) then
tmp = sqrt((f * ((-0.5d0) / c))) * t_0
else
tmp = sqrt((f * ((-1.0d0) / b_m))) * t_0
end if
code = tmp
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
double t_0 = -Math.sqrt(2.0);
double tmp;
if (B_m <= 1.95e+42) {
tmp = Math.sqrt((F * (-0.5 / C))) * t_0;
} else {
tmp = Math.sqrt((F * (-1.0 / B_m))) * t_0;
}
return tmp;
}
B_m = math.fabs(B) [A, B_m, C, F] = sort([A, B_m, C, F]) def code(A, B_m, C, F): t_0 = -math.sqrt(2.0) tmp = 0 if B_m <= 1.95e+42: tmp = math.sqrt((F * (-0.5 / C))) * t_0 else: tmp = math.sqrt((F * (-1.0 / B_m))) * t_0 return tmp
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) t_0 = Float64(-sqrt(2.0)) tmp = 0.0 if (B_m <= 1.95e+42) tmp = Float64(sqrt(Float64(F * Float64(-0.5 / C))) * t_0); else tmp = Float64(sqrt(Float64(F * Float64(-1.0 / B_m))) * t_0); end return tmp end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp_2 = code(A, B_m, C, F)
t_0 = -sqrt(2.0);
tmp = 0.0;
if (B_m <= 1.95e+42)
tmp = sqrt((F * (-0.5 / C))) * t_0;
else
tmp = sqrt((F * (-1.0 / B_m))) * t_0;
end
tmp_2 = tmp;
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = (-N[Sqrt[2.0], $MachinePrecision])}, If[LessEqual[B$95$m, 1.95e+42], N[(N[Sqrt[N[(F * N[(-0.5 / C), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision], N[(N[Sqrt[N[(F * N[(-1.0 / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := -\sqrt{2}\\
\mathbf{if}\;B\_m \leq 1.95 \cdot 10^{+42}:\\
\;\;\;\;\sqrt{F \cdot \frac{-0.5}{C}} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;\sqrt{F \cdot \frac{-1}{B\_m}} \cdot t\_0\\
\end{array}
\end{array}
if B < 1.94999999999999985e42Initial program 21.1%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites24.3%
Taylor expanded in A around -inf
Applied rewrites16.4%
if 1.94999999999999985e42 < B Initial program 9.0%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites28.5%
Taylor expanded in B around inf
Applied rewrites52.5%
Final simplification23.0%
B_m = (fabs.f64 B) NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function. (FPCore (A B_m C F) :precision binary64 (* (sqrt (* F (/ -1.0 B_m))) (- (sqrt 2.0))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
return sqrt((F * (-1.0 / B_m))) * -sqrt(2.0);
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
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((f * ((-1.0d0) / b_m))) * -sqrt(2.0d0)
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
return Math.sqrt((F * (-1.0 / B_m))) * -Math.sqrt(2.0);
}
B_m = math.fabs(B) [A, B_m, C, F] = sort([A, B_m, C, F]) def code(A, B_m, C, F): return math.sqrt((F * (-1.0 / B_m))) * -math.sqrt(2.0)
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) return Float64(sqrt(Float64(F * Float64(-1.0 / B_m))) * Float64(-sqrt(2.0))) end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp = code(A, B_m, C, F)
tmp = sqrt((F * (-1.0 / B_m))) * -sqrt(2.0);
end
B_m = N[Abs[B], $MachinePrecision] NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function. code[A_, B$95$m_, C_, F_] := N[(N[Sqrt[N[(F * N[(-1.0 / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[2.0], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\sqrt{F \cdot \frac{-1}{B\_m}} \cdot \left(-\sqrt{2}\right)
\end{array}
Initial program 18.9%
Taylor expanded in F around 0
associate-*r*N/A
lower-*.f64N/A
Applied rewrites25.1%
Taylor expanded in B around inf
Applied rewrites13.4%
Final simplification13.4%
B_m = (fabs.f64 B) NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function. (FPCore (A B_m C F) :precision binary64 (sqrt (/ 2.0 (/ B_m F))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
return sqrt((2.0 / (B_m / F)));
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
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)))
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
return Math.sqrt((2.0 / (B_m / F)));
}
B_m = math.fabs(B) [A, B_m, C, F] = sort([A, B_m, C, F]) def code(A, B_m, C, F): return math.sqrt((2.0 / (B_m / F)))
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) return sqrt(Float64(2.0 / Float64(B_m / F))) end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp = code(A, B_m, C, F)
tmp = sqrt((2.0 / (B_m / F)));
end
B_m = N[Abs[B], $MachinePrecision] NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function. code[A_, B$95$m_, C_, F_] := N[Sqrt[N[(2.0 / N[(B$95$m / F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\sqrt{\frac{2}{\frac{B\_m}{F}}}
\end{array}
Initial program 18.9%
Taylor expanded in B around -inf
mul-1-negN/A
lower-neg.f64N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f642.0
Applied rewrites2.0%
Applied rewrites2.0%
Applied rewrites2.0%
Applied rewrites2.1%
B_m = (fabs.f64 B) NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function. (FPCore (A B_m C F) :precision binary64 (sqrt (* F (/ 2.0 B_m))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
return sqrt((F * (2.0 / B_m)));
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
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((f * (2.0d0 / b_m)))
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
return Math.sqrt((F * (2.0 / B_m)));
}
B_m = math.fabs(B) [A, B_m, C, F] = sort([A, B_m, C, F]) def code(A, B_m, C, F): return math.sqrt((F * (2.0 / B_m)))
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) return sqrt(Float64(F * Float64(2.0 / B_m))) end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp = code(A, B_m, C, F)
tmp = sqrt((F * (2.0 / B_m)));
end
B_m = N[Abs[B], $MachinePrecision] NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function. code[A_, B$95$m_, C_, F_] := N[Sqrt[N[(F * N[(2.0 / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\sqrt{F \cdot \frac{2}{B\_m}}
\end{array}
Initial program 18.9%
Taylor expanded in B around -inf
mul-1-negN/A
lower-neg.f64N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f642.0
Applied rewrites2.0%
Applied rewrites2.0%
Applied rewrites2.0%
Applied rewrites2.0%
herbie shell --seed 2024298
(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))))