
(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 16 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}
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (fma A (* C -4.0) (* B B)))
(t_1 (- t_0))
(t_2 (* (* 4.0 A) C))
(t_3
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_2) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_2 (pow B 2.0)))))
(if (<= t_3 (- INFINITY))
(/ (* (sqrt (* 2.0 t_0)) (sqrt (* F (+ A A)))) t_1)
(if (<= t_3 -1e-226)
(/
(sqrt
(*
(* t_0 (* 2.0 F))
(- (+ A C) (sqrt (fma (- A C) (- A C) (* B B))))))
t_1)
(/
(sqrt (* (+ A A) (* (* 2.0 F) (* -4.0 (* A C)))))
(* 4.0 (* A C)))))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = fma(A, (C * -4.0), (B * B));
double t_1 = -t_0;
double t_2 = (4.0 * A) * C;
double t_3 = sqrt(((2.0 * ((pow(B, 2.0) - t_2) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_2 - pow(B, 2.0));
double tmp;
if (t_3 <= -((double) INFINITY)) {
tmp = (sqrt((2.0 * t_0)) * sqrt((F * (A + A)))) / t_1;
} else if (t_3 <= -1e-226) {
tmp = sqrt(((t_0 * (2.0 * F)) * ((A + C) - sqrt(fma((A - C), (A - C), (B * B)))))) / t_1;
} else {
tmp = sqrt(((A + A) * ((2.0 * F) * (-4.0 * (A * C))))) / (4.0 * (A * C));
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = fma(A, Float64(C * -4.0), Float64(B * B)) t_1 = Float64(-t_0) t_2 = Float64(Float64(4.0 * A) * C) t_3 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_2) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_2 - (B ^ 2.0))) tmp = 0.0 if (t_3 <= Float64(-Inf)) tmp = Float64(Float64(sqrt(Float64(2.0 * t_0)) * sqrt(Float64(F * Float64(A + A)))) / t_1); elseif (t_3 <= -1e-226) tmp = Float64(sqrt(Float64(Float64(t_0 * Float64(2.0 * F)) * Float64(Float64(A + C) - sqrt(fma(Float64(A - C), Float64(A - C), Float64(B * B)))))) / t_1); else tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(2.0 * F) * Float64(-4.0 * Float64(A * C))))) / Float64(4.0 * Float64(A * C))); end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(A * N[(C * -4.0), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = (-t$95$0)}, Block[{t$95$2 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$2), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$2 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, (-Infinity)], N[(N[(N[Sqrt[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(F * N[(A + A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[t$95$3, -1e-226], N[(N[Sqrt[N[(N[(t$95$0 * N[(2.0 * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[(A - C), $MachinePrecision] * N[(A - C), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(A, C \cdot -4, B \cdot B\right)\\
t_1 := -t\_0\\
t_2 := \left(4 \cdot A\right) \cdot C\\
t_3 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_2\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_2 - {B}^{2}}\\
\mathbf{if}\;t\_3 \leq -\infty:\\
\;\;\;\;\frac{\sqrt{2 \cdot t\_0} \cdot \sqrt{F \cdot \left(A + A\right)}}{t\_1}\\
\mathbf{elif}\;t\_3 \leq -1 \cdot 10^{-226}:\\
\;\;\;\;\frac{\sqrt{\left(t\_0 \cdot \left(2 \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)}\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(-4 \cdot \left(A \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (-.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -inf.0Initial program 3.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6427.3
Applied rewrites27.3%
Applied rewrites27.3%
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-*l*N/A
sqrt-prodN/A
pow1/2N/A
lower-*.f64N/A
Applied rewrites30.6%
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))) < -9.99999999999999921e-227Initial program 99.3%
Applied rewrites0.0%
Applied rewrites99.3%
if -9.99999999999999921e-227 < (/.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 8.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6412.8
Applied rewrites12.8%
Applied rewrites12.8%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6413.2
Applied rewrites13.2%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.5
Applied rewrites15.5%
Final simplification30.9%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (fma A (* C -4.0) (* B B)))
(t_1 (- t_0))
(t_2 (* (* 4.0 A) C))
(t_3
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_2) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_2 (pow B 2.0)))))
(if (<= t_3 (- INFINITY))
(/ (* (sqrt (* 2.0 t_0)) (sqrt (* F (+ A A)))) t_1)
(if (<= t_3 -1e-226)
(/ (sqrt (* (* t_0 (* 2.0 F)) (- A (sqrt (fma A A (* B B)))))) t_1)
(/
(sqrt (* (+ A A) (* (* 2.0 F) (* -4.0 (* A C)))))
(* 4.0 (* A C)))))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = fma(A, (C * -4.0), (B * B));
double t_1 = -t_0;
double t_2 = (4.0 * A) * C;
double t_3 = sqrt(((2.0 * ((pow(B, 2.0) - t_2) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_2 - pow(B, 2.0));
double tmp;
if (t_3 <= -((double) INFINITY)) {
tmp = (sqrt((2.0 * t_0)) * sqrt((F * (A + A)))) / t_1;
} else if (t_3 <= -1e-226) {
tmp = sqrt(((t_0 * (2.0 * F)) * (A - sqrt(fma(A, A, (B * B)))))) / t_1;
} else {
tmp = sqrt(((A + A) * ((2.0 * F) * (-4.0 * (A * C))))) / (4.0 * (A * C));
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = fma(A, Float64(C * -4.0), Float64(B * B)) t_1 = Float64(-t_0) t_2 = Float64(Float64(4.0 * A) * C) t_3 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_2) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_2 - (B ^ 2.0))) tmp = 0.0 if (t_3 <= Float64(-Inf)) tmp = Float64(Float64(sqrt(Float64(2.0 * t_0)) * sqrt(Float64(F * Float64(A + A)))) / t_1); elseif (t_3 <= -1e-226) tmp = Float64(sqrt(Float64(Float64(t_0 * Float64(2.0 * F)) * Float64(A - sqrt(fma(A, A, Float64(B * B)))))) / t_1); else tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(2.0 * F) * Float64(-4.0 * Float64(A * C))))) / Float64(4.0 * Float64(A * C))); end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(A * N[(C * -4.0), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = (-t$95$0)}, Block[{t$95$2 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$2), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$2 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, (-Infinity)], N[(N[(N[Sqrt[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(F * N[(A + A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[t$95$3, -1e-226], N[(N[Sqrt[N[(N[(t$95$0 * N[(2.0 * F), $MachinePrecision]), $MachinePrecision] * N[(A - N[Sqrt[N[(A * A + N[(B * B), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(A, C \cdot -4, B \cdot B\right)\\
t_1 := -t\_0\\
t_2 := \left(4 \cdot A\right) \cdot C\\
t_3 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_2\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_2 - {B}^{2}}\\
\mathbf{if}\;t\_3 \leq -\infty:\\
\;\;\;\;\frac{\sqrt{2 \cdot t\_0} \cdot \sqrt{F \cdot \left(A + A\right)}}{t\_1}\\
\mathbf{elif}\;t\_3 \leq -1 \cdot 10^{-226}:\\
\;\;\;\;\frac{\sqrt{\left(t\_0 \cdot \left(2 \cdot F\right)\right) \cdot \left(A - \sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)}\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(-4 \cdot \left(A \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (-.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -inf.0Initial program 3.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6427.3
Applied rewrites27.3%
Applied rewrites27.3%
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-*l*N/A
sqrt-prodN/A
pow1/2N/A
lower-*.f64N/A
Applied rewrites30.6%
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))) < -9.99999999999999921e-227Initial program 99.3%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6431.3
Applied rewrites31.3%
Applied rewrites31.3%
Taylor expanded in C around 0
lower--.f64N/A
lower-sqrt.f64N/A
unpow2N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6488.8
Applied rewrites88.8%
if -9.99999999999999921e-227 < (/.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 8.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6412.8
Applied rewrites12.8%
Applied rewrites12.8%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6413.2
Applied rewrites13.2%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.5
Applied rewrites15.5%
Final simplification29.3%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (fma A (* C -4.0) (* B B)))
(t_1 (* (* 4.0 A) C))
(t_2
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_1) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_1 (pow B 2.0))))
(t_3 (* -4.0 (* A C))))
(if (<= t_2 (- INFINITY))
(/ (* (sqrt (* 2.0 t_0)) (sqrt (* F (+ A A)))) (- t_0))
(if (<= t_2 -5e-162)
(-
(*
(sqrt
(/
(* F (- (+ A C) (sqrt (fma (- A C) (- A C) (* B B)))))
(fma B B t_3)))
(sqrt 2.0)))
(/ (sqrt (* (+ A A) (* (* 2.0 F) t_3))) (* 4.0 (* A C)))))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = fma(A, (C * -4.0), (B * B));
double t_1 = (4.0 * A) * C;
double t_2 = sqrt(((2.0 * ((pow(B, 2.0) - t_1) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_1 - pow(B, 2.0));
double t_3 = -4.0 * (A * C);
double tmp;
if (t_2 <= -((double) INFINITY)) {
tmp = (sqrt((2.0 * t_0)) * sqrt((F * (A + A)))) / -t_0;
} else if (t_2 <= -5e-162) {
tmp = -(sqrt(((F * ((A + C) - sqrt(fma((A - C), (A - C), (B * B))))) / fma(B, B, t_3))) * sqrt(2.0));
} else {
tmp = sqrt(((A + A) * ((2.0 * F) * t_3))) / (4.0 * (A * C));
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = fma(A, Float64(C * -4.0), Float64(B * B)) t_1 = Float64(Float64(4.0 * A) * C) t_2 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_1) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_1 - (B ^ 2.0))) t_3 = Float64(-4.0 * Float64(A * C)) tmp = 0.0 if (t_2 <= Float64(-Inf)) tmp = Float64(Float64(sqrt(Float64(2.0 * t_0)) * sqrt(Float64(F * Float64(A + A)))) / Float64(-t_0)); elseif (t_2 <= -5e-162) tmp = Float64(-Float64(sqrt(Float64(Float64(F * Float64(Float64(A + C) - sqrt(fma(Float64(A - C), Float64(A - C), Float64(B * B))))) / fma(B, B, t_3))) * sqrt(2.0))); else tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(2.0 * F) * t_3))) / Float64(4.0 * Float64(A * C))); end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(A * N[(C * -4.0), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$1), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$1 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, (-Infinity)], N[(N[(N[Sqrt[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(F * N[(A + A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / (-t$95$0)), $MachinePrecision], If[LessEqual[t$95$2, -5e-162], (-N[(N[Sqrt[N[(N[(F * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[(A - C), $MachinePrecision] * N[(A - C), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(B * B + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(A, C \cdot -4, B \cdot B\right)\\
t_1 := \left(4 \cdot A\right) \cdot C\\
t_2 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_1\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_1 - {B}^{2}}\\
t_3 := -4 \cdot \left(A \cdot C\right)\\
\mathbf{if}\;t\_2 \leq -\infty:\\
\;\;\;\;\frac{\sqrt{2 \cdot t\_0} \cdot \sqrt{F \cdot \left(A + A\right)}}{-t\_0}\\
\mathbf{elif}\;t\_2 \leq -5 \cdot 10^{-162}:\\
\;\;\;\;-\sqrt{\frac{F \cdot \left(\left(A + C\right) - \sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)}\right)}{\mathsf{fma}\left(B, B, t\_3\right)}} \cdot \sqrt{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(\left(2 \cdot F\right) \cdot t\_3\right)}}{4 \cdot \left(A \cdot C\right)}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (-.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -inf.0Initial program 3.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6427.3
Applied rewrites27.3%
Applied rewrites27.3%
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-*l*N/A
sqrt-prodN/A
pow1/2N/A
lower-*.f64N/A
Applied rewrites30.6%
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))) < -5.00000000000000014e-162Initial program 99.3%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6432.5
Applied rewrites32.5%
Applied rewrites32.5%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6412.9
Applied rewrites12.9%
Taylor expanded in F around 0
mul-1-negN/A
+-commutativeN/A
metadata-evalN/A
cancel-sign-sub-invN/A
lower-neg.f64N/A
lower-*.f64N/A
Applied rewrites96.8%
if -5.00000000000000014e-162 < (/.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 10.7%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6413.1
Applied rewrites13.1%
Applied rewrites13.1%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6413.4
Applied rewrites13.4%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.7
Applied rewrites15.7%
Final simplification29.1%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (fma A (* C -4.0) (* B B)))
(t_1 (* (* 4.0 A) C))
(t_2
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_1) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_1 (pow B 2.0)))))
(if (<= t_2 (- INFINITY))
(/ (* (sqrt (* 2.0 t_0)) (sqrt (* F (+ A A)))) (- t_0))
(if (<= t_2 -5e-162)
(*
(sqrt
(/
(* F (- (+ A C) (sqrt (fma B B (* (- A C) (- A C))))))
(fma (* A C) -4.0 (* B B))))
(- (sqrt 2.0)))
(/
(sqrt (* (+ A A) (* (* 2.0 F) (* -4.0 (* A C)))))
(* 4.0 (* A C)))))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = fma(A, (C * -4.0), (B * B));
double t_1 = (4.0 * A) * C;
double t_2 = sqrt(((2.0 * ((pow(B, 2.0) - t_1) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_1 - pow(B, 2.0));
double tmp;
if (t_2 <= -((double) INFINITY)) {
tmp = (sqrt((2.0 * t_0)) * sqrt((F * (A + A)))) / -t_0;
} else if (t_2 <= -5e-162) {
tmp = sqrt(((F * ((A + C) - sqrt(fma(B, B, ((A - C) * (A - C)))))) / fma((A * C), -4.0, (B * B)))) * -sqrt(2.0);
} else {
tmp = sqrt(((A + A) * ((2.0 * F) * (-4.0 * (A * C))))) / (4.0 * (A * C));
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = fma(A, Float64(C * -4.0), Float64(B * B)) t_1 = Float64(Float64(4.0 * A) * C) t_2 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_1) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_1 - (B ^ 2.0))) tmp = 0.0 if (t_2 <= Float64(-Inf)) tmp = Float64(Float64(sqrt(Float64(2.0 * t_0)) * sqrt(Float64(F * Float64(A + A)))) / Float64(-t_0)); elseif (t_2 <= -5e-162) tmp = Float64(sqrt(Float64(Float64(F * Float64(Float64(A + C) - sqrt(fma(B, B, Float64(Float64(A - C) * Float64(A - C)))))) / fma(Float64(A * C), -4.0, Float64(B * B)))) * Float64(-sqrt(2.0))); else tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(2.0 * F) * Float64(-4.0 * Float64(A * C))))) / Float64(4.0 * Float64(A * C))); end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(A * N[(C * -4.0), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$1), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$1 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, (-Infinity)], N[(N[(N[Sqrt[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(F * N[(A + A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / (-t$95$0)), $MachinePrecision], If[LessEqual[t$95$2, -5e-162], N[(N[Sqrt[N[(N[(F * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(B * B + N[(N[(A - C), $MachinePrecision] * N[(A - C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(A * C), $MachinePrecision] * -4.0 + N[(B * B), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[2.0], $MachinePrecision])), $MachinePrecision], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(A, C \cdot -4, B \cdot B\right)\\
t_1 := \left(4 \cdot A\right) \cdot C\\
t_2 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_1\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_1 - {B}^{2}}\\
\mathbf{if}\;t\_2 \leq -\infty:\\
\;\;\;\;\frac{\sqrt{2 \cdot t\_0} \cdot \sqrt{F \cdot \left(A + A\right)}}{-t\_0}\\
\mathbf{elif}\;t\_2 \leq -5 \cdot 10^{-162}:\\
\;\;\;\;\sqrt{\frac{F \cdot \left(\left(A + C\right) - \sqrt{\mathsf{fma}\left(B, B, \left(A - C\right) \cdot \left(A - C\right)\right)}\right)}{\mathsf{fma}\left(A \cdot C, -4, B \cdot B\right)}} \cdot \left(-\sqrt{2}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(-4 \cdot \left(A \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (-.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -inf.0Initial program 3.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6427.3
Applied rewrites27.3%
Applied rewrites27.3%
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-*l*N/A
sqrt-prodN/A
pow1/2N/A
lower-*.f64N/A
Applied rewrites30.6%
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))) < -5.00000000000000014e-162Initial program 99.3%
Taylor expanded in F around 0
mul-1-negN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
Applied rewrites96.7%
if -5.00000000000000014e-162 < (/.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 10.7%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6413.1
Applied rewrites13.1%
Applied rewrites13.1%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6413.4
Applied rewrites13.4%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.7
Applied rewrites15.7%
Final simplification29.1%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (fma A (* C -4.0) (* B B)))
(t_1 (- t_0))
(t_2 (* (* 4.0 A) C))
(t_3
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_2) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_2 (pow B 2.0)))))
(if (<= t_3 -1e+88)
(/ (* (sqrt (* 2.0 t_0)) (sqrt (* F (+ A A)))) t_1)
(if (<= t_3 -1e-226)
(/ (sqrt (* 2.0 (* (- A (sqrt (fma A A (* B B)))) (* F (* B B))))) t_1)
(/
(sqrt (* (+ A A) (* (* 2.0 F) (* -4.0 (* A C)))))
(* 4.0 (* A C)))))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = fma(A, (C * -4.0), (B * B));
double t_1 = -t_0;
double t_2 = (4.0 * A) * C;
double t_3 = sqrt(((2.0 * ((pow(B, 2.0) - t_2) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_2 - pow(B, 2.0));
double tmp;
if (t_3 <= -1e+88) {
tmp = (sqrt((2.0 * t_0)) * sqrt((F * (A + A)))) / t_1;
} else if (t_3 <= -1e-226) {
tmp = sqrt((2.0 * ((A - sqrt(fma(A, A, (B * B)))) * (F * (B * B))))) / t_1;
} else {
tmp = sqrt(((A + A) * ((2.0 * F) * (-4.0 * (A * C))))) / (4.0 * (A * C));
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = fma(A, Float64(C * -4.0), Float64(B * B)) t_1 = Float64(-t_0) t_2 = Float64(Float64(4.0 * A) * C) t_3 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_2) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_2 - (B ^ 2.0))) tmp = 0.0 if (t_3 <= -1e+88) tmp = Float64(Float64(sqrt(Float64(2.0 * t_0)) * sqrt(Float64(F * Float64(A + A)))) / t_1); elseif (t_3 <= -1e-226) tmp = Float64(sqrt(Float64(2.0 * Float64(Float64(A - sqrt(fma(A, A, Float64(B * B)))) * Float64(F * Float64(B * B))))) / t_1); else tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(2.0 * F) * Float64(-4.0 * Float64(A * C))))) / Float64(4.0 * Float64(A * C))); end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(A * N[(C * -4.0), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = (-t$95$0)}, Block[{t$95$2 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$2), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$2 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, -1e+88], N[(N[(N[Sqrt[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(F * N[(A + A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[t$95$3, -1e-226], N[(N[Sqrt[N[(2.0 * N[(N[(A - N[Sqrt[N[(A * A + N[(B * B), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(F * N[(B * B), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(A, C \cdot -4, B \cdot B\right)\\
t_1 := -t\_0\\
t_2 := \left(4 \cdot A\right) \cdot C\\
t_3 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_2\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_2 - {B}^{2}}\\
\mathbf{if}\;t\_3 \leq -1 \cdot 10^{+88}:\\
\;\;\;\;\frac{\sqrt{2 \cdot t\_0} \cdot \sqrt{F \cdot \left(A + A\right)}}{t\_1}\\
\mathbf{elif}\;t\_3 \leq -1 \cdot 10^{-226}:\\
\;\;\;\;\frac{\sqrt{2 \cdot \left(\left(A - \sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)}\right) \cdot \left(F \cdot \left(B \cdot B\right)\right)\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(-4 \cdot \left(A \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (-.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -9.99999999999999959e87Initial program 16.3%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6430.4
Applied rewrites30.4%
Applied rewrites30.4%
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-*l*N/A
sqrt-prodN/A
pow1/2N/A
lower-*.f64N/A
Applied rewrites33.3%
if -9.99999999999999959e87 < (/.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))) < -9.99999999999999921e-227Initial program 99.3%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6426.4
Applied rewrites26.4%
Applied rewrites26.4%
Taylor expanded in C around 0
lower-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
unpow2N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6482.6
Applied rewrites82.6%
if -9.99999999999999921e-227 < (/.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 8.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6412.8
Applied rewrites12.8%
Applied rewrites12.8%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6413.2
Applied rewrites13.2%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.5
Applied rewrites15.5%
Final simplification27.4%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (fma A (* C -4.0) (* B B)))
(t_1 (- t_0))
(t_2 (* (* 4.0 A) C))
(t_3
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_2) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_2 (pow B 2.0)))))
(if (<= t_3 -1e+88)
(/ (sqrt (* (+ A A) (* t_0 (* 2.0 F)))) t_1)
(if (<= t_3 -1e-226)
(/ (sqrt (* 2.0 (* (- A (sqrt (fma A A (* B B)))) (* F (* B B))))) t_1)
(/
(sqrt (* (+ A A) (* (* 2.0 F) (* -4.0 (* A C)))))
(* 4.0 (* A C)))))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = fma(A, (C * -4.0), (B * B));
double t_1 = -t_0;
double t_2 = (4.0 * A) * C;
double t_3 = sqrt(((2.0 * ((pow(B, 2.0) - t_2) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_2 - pow(B, 2.0));
double tmp;
if (t_3 <= -1e+88) {
tmp = sqrt(((A + A) * (t_0 * (2.0 * F)))) / t_1;
} else if (t_3 <= -1e-226) {
tmp = sqrt((2.0 * ((A - sqrt(fma(A, A, (B * B)))) * (F * (B * B))))) / t_1;
} else {
tmp = sqrt(((A + A) * ((2.0 * F) * (-4.0 * (A * C))))) / (4.0 * (A * C));
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = fma(A, Float64(C * -4.0), Float64(B * B)) t_1 = Float64(-t_0) t_2 = Float64(Float64(4.0 * A) * C) t_3 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_2) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_2 - (B ^ 2.0))) tmp = 0.0 if (t_3 <= -1e+88) tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(t_0 * Float64(2.0 * F)))) / t_1); elseif (t_3 <= -1e-226) tmp = Float64(sqrt(Float64(2.0 * Float64(Float64(A - sqrt(fma(A, A, Float64(B * B)))) * Float64(F * Float64(B * B))))) / t_1); else tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(2.0 * F) * Float64(-4.0 * Float64(A * C))))) / Float64(4.0 * Float64(A * C))); end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(A * N[(C * -4.0), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = (-t$95$0)}, Block[{t$95$2 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$2), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$2 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, -1e+88], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(t$95$0 * N[(2.0 * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[t$95$3, -1e-226], N[(N[Sqrt[N[(2.0 * N[(N[(A - N[Sqrt[N[(A * A + N[(B * B), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(F * N[(B * B), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(A, C \cdot -4, B \cdot B\right)\\
t_1 := -t\_0\\
t_2 := \left(4 \cdot A\right) \cdot C\\
t_3 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_2\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_2 - {B}^{2}}\\
\mathbf{if}\;t\_3 \leq -1 \cdot 10^{+88}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(t\_0 \cdot \left(2 \cdot F\right)\right)}}{t\_1}\\
\mathbf{elif}\;t\_3 \leq -1 \cdot 10^{-226}:\\
\;\;\;\;\frac{\sqrt{2 \cdot \left(\left(A - \sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)}\right) \cdot \left(F \cdot \left(B \cdot B\right)\right)\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(-4 \cdot \left(A \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (-.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -9.99999999999999959e87Initial program 16.3%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6430.4
Applied rewrites30.4%
Applied rewrites30.4%
if -9.99999999999999959e87 < (/.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))) < -9.99999999999999921e-227Initial program 99.3%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6426.4
Applied rewrites26.4%
Applied rewrites26.4%
Taylor expanded in C around 0
lower-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
unpow2N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6482.6
Applied rewrites82.6%
if -9.99999999999999921e-227 < (/.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 8.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6412.8
Applied rewrites12.8%
Applied rewrites12.8%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6413.2
Applied rewrites13.2%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.5
Applied rewrites15.5%
Final simplification26.7%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (fma A (* C -4.0) (* B B)))
(t_1 (* (* 4.0 A) C))
(t_2
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_1) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_1 (pow B 2.0)))))
(if (<= t_2 -1e+88)
(/ (sqrt (* (+ A A) (* t_0 (* 2.0 F)))) (- t_0))
(if (<= t_2 -1e-226)
(* (sqrt (* F (- A (sqrt (fma B B (* A A)))))) (/ (sqrt 2.0) (- B)))
(/
(sqrt (* (+ A A) (* (* 2.0 F) (* -4.0 (* A C)))))
(* 4.0 (* A C)))))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = fma(A, (C * -4.0), (B * B));
double t_1 = (4.0 * A) * C;
double t_2 = sqrt(((2.0 * ((pow(B, 2.0) - t_1) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_1 - pow(B, 2.0));
double tmp;
if (t_2 <= -1e+88) {
tmp = sqrt(((A + A) * (t_0 * (2.0 * F)))) / -t_0;
} else if (t_2 <= -1e-226) {
tmp = sqrt((F * (A - sqrt(fma(B, B, (A * A)))))) * (sqrt(2.0) / -B);
} else {
tmp = sqrt(((A + A) * ((2.0 * F) * (-4.0 * (A * C))))) / (4.0 * (A * C));
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = fma(A, Float64(C * -4.0), Float64(B * B)) t_1 = Float64(Float64(4.0 * A) * C) t_2 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_1) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_1 - (B ^ 2.0))) tmp = 0.0 if (t_2 <= -1e+88) tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(t_0 * Float64(2.0 * F)))) / Float64(-t_0)); elseif (t_2 <= -1e-226) tmp = Float64(sqrt(Float64(F * Float64(A - sqrt(fma(B, B, Float64(A * A)))))) * Float64(sqrt(2.0) / Float64(-B))); else tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(2.0 * F) * Float64(-4.0 * Float64(A * C))))) / Float64(4.0 * Float64(A * C))); end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(A * N[(C * -4.0), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$1), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$1 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -1e+88], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(t$95$0 * N[(2.0 * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$0)), $MachinePrecision], If[LessEqual[t$95$2, -1e-226], N[(N[Sqrt[N[(F * N[(A - N[Sqrt[N[(B * B + N[(A * A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / (-B)), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(A, C \cdot -4, B \cdot B\right)\\
t_1 := \left(4 \cdot A\right) \cdot C\\
t_2 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_1\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_1 - {B}^{2}}\\
\mathbf{if}\;t\_2 \leq -1 \cdot 10^{+88}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(t\_0 \cdot \left(2 \cdot F\right)\right)}}{-t\_0}\\
\mathbf{elif}\;t\_2 \leq -1 \cdot 10^{-226}:\\
\;\;\;\;\sqrt{F \cdot \left(A - \sqrt{\mathsf{fma}\left(B, B, A \cdot A\right)}\right)} \cdot \frac{\sqrt{2}}{-B}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(-4 \cdot \left(A \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (-.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -9.99999999999999959e87Initial program 16.3%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6430.4
Applied rewrites30.4%
Applied rewrites30.4%
if -9.99999999999999959e87 < (/.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))) < -9.99999999999999921e-227Initial program 99.3%
Taylor expanded in C around 0
mul-1-negN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
mul-1-negN/A
lower-*.f64N/A
Applied rewrites38.4%
if -9.99999999999999921e-227 < (/.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 8.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6412.8
Applied rewrites12.8%
Applied rewrites12.8%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6413.2
Applied rewrites13.2%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.5
Applied rewrites15.5%
Final simplification21.5%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (fma A (* C -4.0) (* B B)))
(t_1 (* (* 4.0 A) C))
(t_2
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_1) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_1 (pow B 2.0)))))
(if (<= t_2 -1e+88)
(/ (sqrt (* (* 2.0 F) (* t_0 (+ A A)))) (- t_0))
(if (<= t_2 -1e-226)
(* (sqrt (* F (- A (sqrt (fma B B (* A A)))))) (/ (sqrt 2.0) (- B)))
(/
(sqrt (* (+ A A) (* (* 2.0 F) (* -4.0 (* A C)))))
(* 4.0 (* A C)))))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = fma(A, (C * -4.0), (B * B));
double t_1 = (4.0 * A) * C;
double t_2 = sqrt(((2.0 * ((pow(B, 2.0) - t_1) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_1 - pow(B, 2.0));
double tmp;
if (t_2 <= -1e+88) {
tmp = sqrt(((2.0 * F) * (t_0 * (A + A)))) / -t_0;
} else if (t_2 <= -1e-226) {
tmp = sqrt((F * (A - sqrt(fma(B, B, (A * A)))))) * (sqrt(2.0) / -B);
} else {
tmp = sqrt(((A + A) * ((2.0 * F) * (-4.0 * (A * C))))) / (4.0 * (A * C));
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = fma(A, Float64(C * -4.0), Float64(B * B)) t_1 = Float64(Float64(4.0 * A) * C) t_2 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_1) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_1 - (B ^ 2.0))) tmp = 0.0 if (t_2 <= -1e+88) tmp = Float64(sqrt(Float64(Float64(2.0 * F) * Float64(t_0 * Float64(A + A)))) / Float64(-t_0)); elseif (t_2 <= -1e-226) tmp = Float64(sqrt(Float64(F * Float64(A - sqrt(fma(B, B, Float64(A * A)))))) * Float64(sqrt(2.0) / Float64(-B))); else tmp = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(2.0 * F) * Float64(-4.0 * Float64(A * C))))) / Float64(4.0 * Float64(A * C))); end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(A * N[(C * -4.0), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$1), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$1 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -1e+88], N[(N[Sqrt[N[(N[(2.0 * F), $MachinePrecision] * N[(t$95$0 * N[(A + A), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$0)), $MachinePrecision], If[LessEqual[t$95$2, -1e-226], N[(N[Sqrt[N[(F * N[(A - N[Sqrt[N[(B * B + N[(A * A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / (-B)), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(A, C \cdot -4, B \cdot B\right)\\
t_1 := \left(4 \cdot A\right) \cdot C\\
t_2 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_1\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_1 - {B}^{2}}\\
\mathbf{if}\;t\_2 \leq -1 \cdot 10^{+88}:\\
\;\;\;\;\frac{\sqrt{\left(2 \cdot F\right) \cdot \left(t\_0 \cdot \left(A + A\right)\right)}}{-t\_0}\\
\mathbf{elif}\;t\_2 \leq -1 \cdot 10^{-226}:\\
\;\;\;\;\sqrt{F \cdot \left(A - \sqrt{\mathsf{fma}\left(B, B, A \cdot A\right)}\right)} \cdot \frac{\sqrt{2}}{-B}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{\left(A + A\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(-4 \cdot \left(A \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (-.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -9.99999999999999959e87Initial program 16.3%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6430.4
Applied rewrites30.4%
Applied rewrites30.4%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-fma.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites28.8%
if -9.99999999999999959e87 < (/.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))) < -9.99999999999999921e-227Initial program 99.3%
Taylor expanded in C around 0
mul-1-negN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
mul-1-negN/A
lower-*.f64N/A
Applied rewrites38.4%
if -9.99999999999999921e-227 < (/.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 8.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6412.8
Applied rewrites12.8%
Applied rewrites12.8%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6413.2
Applied rewrites13.2%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.5
Applied rewrites15.5%
Final simplification21.2%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0
(/ (sqrt (* (+ A A) (* (* 2.0 F) (* -4.0 (* A C))))) (* 4.0 (* A C))))
(t_1 (* (* 4.0 A) C))
(t_2
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_1) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_1 (pow B 2.0)))))
(if (<= t_2 -1e+150)
t_0
(if (<= t_2 -1e-226)
(* (sqrt (* F (- A (sqrt (fma B B (* A A)))))) (/ (sqrt 2.0) (- B)))
t_0))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = sqrt(((A + A) * ((2.0 * F) * (-4.0 * (A * C))))) / (4.0 * (A * C));
double t_1 = (4.0 * A) * C;
double t_2 = sqrt(((2.0 * ((pow(B, 2.0) - t_1) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_1 - pow(B, 2.0));
double tmp;
if (t_2 <= -1e+150) {
tmp = t_0;
} else if (t_2 <= -1e-226) {
tmp = sqrt((F * (A - sqrt(fma(B, B, (A * A)))))) * (sqrt(2.0) / -B);
} else {
tmp = t_0;
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(2.0 * F) * Float64(-4.0 * Float64(A * C))))) / Float64(4.0 * Float64(A * C))) t_1 = Float64(Float64(4.0 * A) * C) t_2 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_1) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_1 - (B ^ 2.0))) tmp = 0.0 if (t_2 <= -1e+150) tmp = t_0; elseif (t_2 <= -1e-226) tmp = Float64(sqrt(Float64(F * Float64(A - sqrt(fma(B, B, Float64(A * A)))))) * Float64(sqrt(2.0) / Float64(-B))); else tmp = t_0; end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$1), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$1 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -1e+150], t$95$0, If[LessEqual[t$95$2, -1e-226], N[(N[Sqrt[N[(F * N[(A - N[Sqrt[N[(B * B + N[(A * A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / (-B)), $MachinePrecision]), $MachinePrecision], t$95$0]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \frac{\sqrt{\left(A + A\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(-4 \cdot \left(A \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}\\
t_1 := \left(4 \cdot A\right) \cdot C\\
t_2 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_1\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_1 - {B}^{2}}\\
\mathbf{if}\;t\_2 \leq -1 \cdot 10^{+150}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;t\_2 \leq -1 \cdot 10^{-226}:\\
\;\;\;\;\sqrt{F \cdot \left(A - \sqrt{\mathsf{fma}\left(B, B, A \cdot A\right)}\right)} \cdot \frac{\sqrt{2}}{-B}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\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))) < -9.99999999999999981e149 or -9.99999999999999921e-227 < (/.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 7.4%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6416.0
Applied rewrites16.0%
Applied rewrites16.0%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.5
Applied rewrites15.5%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6417.3
Applied rewrites17.3%
if -9.99999999999999981e149 < (/.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))) < -9.99999999999999921e-227Initial program 99.3%
Taylor expanded in C around 0
mul-1-negN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
mul-1-negN/A
lower-*.f64N/A
Applied rewrites39.7%
Final simplification20.6%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0
(/ (sqrt (* (+ A A) (* (* 2.0 F) (* -4.0 (* A C))))) (* 4.0 (* A C))))
(t_1 (* (* 4.0 A) C))
(t_2
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_1) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_1 (pow B 2.0)))))
(if (<= t_2 -1e+88)
t_0
(if (<= t_2 -5e-162)
(/ (sqrt (* -2.0 (* F (* B (* B B))))) (- (fma A (* C -4.0) (* B B))))
t_0))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = sqrt(((A + A) * ((2.0 * F) * (-4.0 * (A * C))))) / (4.0 * (A * C));
double t_1 = (4.0 * A) * C;
double t_2 = sqrt(((2.0 * ((pow(B, 2.0) - t_1) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_1 - pow(B, 2.0));
double tmp;
if (t_2 <= -1e+88) {
tmp = t_0;
} else if (t_2 <= -5e-162) {
tmp = sqrt((-2.0 * (F * (B * (B * B))))) / -fma(A, (C * -4.0), (B * B));
} else {
tmp = t_0;
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = Float64(sqrt(Float64(Float64(A + A) * Float64(Float64(2.0 * F) * Float64(-4.0 * Float64(A * C))))) / Float64(4.0 * Float64(A * C))) t_1 = Float64(Float64(4.0 * A) * C) t_2 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_1) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_1 - (B ^ 2.0))) tmp = 0.0 if (t_2 <= -1e+88) tmp = t_0; elseif (t_2 <= -5e-162) tmp = Float64(sqrt(Float64(-2.0 * Float64(F * Float64(B * Float64(B * B))))) / Float64(-fma(A, Float64(C * -4.0), Float64(B * B)))); else tmp = t_0; end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(N[(2.0 * F), $MachinePrecision] * N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$1), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$1 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -1e+88], t$95$0, If[LessEqual[t$95$2, -5e-162], N[(N[Sqrt[N[(-2.0 * N[(F * N[(B * N[(B * B), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-N[(A * N[(C * -4.0), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision])), $MachinePrecision], t$95$0]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \frac{\sqrt{\left(A + A\right) \cdot \left(\left(2 \cdot F\right) \cdot \left(-4 \cdot \left(A \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}\\
t_1 := \left(4 \cdot A\right) \cdot C\\
t_2 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_1\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_1 - {B}^{2}}\\
\mathbf{if}\;t\_2 \leq -1 \cdot 10^{+88}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;t\_2 \leq -5 \cdot 10^{-162}:\\
\;\;\;\;\frac{\sqrt{-2 \cdot \left(F \cdot \left(B \cdot \left(B \cdot B\right)\right)\right)}}{-\mathsf{fma}\left(A, C \cdot -4, B \cdot B\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\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))) < -9.99999999999999959e87 or -5.00000000000000014e-162 < (/.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 12.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6417.4
Applied rewrites17.4%
Applied rewrites17.4%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6416.0
Applied rewrites16.0%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6417.8
Applied rewrites17.8%
if -9.99999999999999959e87 < (/.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))) < -5.00000000000000014e-162Initial program 99.4%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6427.0
Applied rewrites27.0%
Applied rewrites27.0%
Taylor expanded in B around inf
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6429.6
Applied rewrites29.6%
Final simplification19.0%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B C F)
:precision binary64
(let* ((t_0 (/ (sqrt (* (+ A A) (* -8.0 (* A (* C F))))) (* 4.0 (* A C))))
(t_1 (* (* 4.0 A) C))
(t_2
(/
(sqrt
(*
(* 2.0 (* (- (pow B 2.0) t_1) F))
(- (+ A C) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0))))))
(- t_1 (pow B 2.0)))))
(if (<= t_2 -1e+88)
t_0
(if (<= t_2 -5e-162)
(/ (sqrt (* -2.0 (* F (* B (* B B))))) (- (fma A (* C -4.0) (* B B))))
t_0))))assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
double t_0 = sqrt(((A + A) * (-8.0 * (A * (C * F))))) / (4.0 * (A * C));
double t_1 = (4.0 * A) * C;
double t_2 = sqrt(((2.0 * ((pow(B, 2.0) - t_1) * F)) * ((A + C) - sqrt((pow(B, 2.0) + pow((A - C), 2.0)))))) / (t_1 - pow(B, 2.0));
double tmp;
if (t_2 <= -1e+88) {
tmp = t_0;
} else if (t_2 <= -5e-162) {
tmp = sqrt((-2.0 * (F * (B * (B * B))))) / -fma(A, (C * -4.0), (B * B));
} else {
tmp = t_0;
}
return tmp;
}
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) t_0 = Float64(sqrt(Float64(Float64(A + A) * Float64(-8.0 * Float64(A * Float64(C * F))))) / Float64(4.0 * Float64(A * C))) t_1 = Float64(Float64(4.0 * A) * C) t_2 = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B ^ 2.0) - t_1) * F)) * Float64(Float64(A + C) - sqrt(Float64((B ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_1 - (B ^ 2.0))) tmp = 0.0 if (t_2 <= -1e+88) tmp = t_0; elseif (t_2 <= -5e-162) tmp = Float64(sqrt(Float64(-2.0 * Float64(F * Float64(B * Float64(B * B))))) / Float64(-fma(A, Float64(C * -4.0), Float64(B * B)))); else tmp = t_0; end return tmp end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(-8.0 * N[(A * N[(C * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B, 2.0], $MachinePrecision] - t$95$1), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] - N[Sqrt[N[(N[Power[B, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$1 - N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -1e+88], t$95$0, If[LessEqual[t$95$2, -5e-162], N[(N[Sqrt[N[(-2.0 * N[(F * N[(B * N[(B * B), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-N[(A * N[(C * -4.0), $MachinePrecision] + N[(B * B), $MachinePrecision]), $MachinePrecision])), $MachinePrecision], t$95$0]]]]]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\begin{array}{l}
t_0 := \frac{\sqrt{\left(A + A\right) \cdot \left(-8 \cdot \left(A \cdot \left(C \cdot F\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}\\
t_1 := \left(4 \cdot A\right) \cdot C\\
t_2 := \frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - t\_1\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_1 - {B}^{2}}\\
\mathbf{if}\;t\_2 \leq -1 \cdot 10^{+88}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;t\_2 \leq -5 \cdot 10^{-162}:\\
\;\;\;\;\frac{\sqrt{-2 \cdot \left(F \cdot \left(B \cdot \left(B \cdot B\right)\right)\right)}}{-\mathsf{fma}\left(A, C \cdot -4, B \cdot B\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\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))) < -9.99999999999999959e87 or -5.00000000000000014e-162 < (/.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 12.1%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6417.4
Applied rewrites17.4%
Applied rewrites17.4%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6416.0
Applied rewrites16.0%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f64N/A
lower-*.f6412.5
Applied rewrites12.5%
if -9.99999999999999959e87 < (/.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))) < -5.00000000000000014e-162Initial program 99.4%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6427.0
Applied rewrites27.0%
Applied rewrites27.0%
Taylor expanded in B around inf
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6429.6
Applied rewrites29.6%
Final simplification14.2%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function. (FPCore (A B C F) :precision binary64 (/ (sqrt (* (+ A A) (* -8.0 (* A (* C F))))) (* 4.0 (* A C))))
assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
return sqrt(((A + A) * (-8.0 * (A * (C * F))))) / (4.0 * (A * C));
}
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
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
code = sqrt(((a + a) * ((-8.0d0) * (a * (c * f))))) / (4.0d0 * (a * c))
end function
assert A < B && B < C && C < F;
public static double code(double A, double B, double C, double F) {
return Math.sqrt(((A + A) * (-8.0 * (A * (C * F))))) / (4.0 * (A * C));
}
[A, B, C, F] = sort([A, B, C, F]) def code(A, B, C, F): return math.sqrt(((A + A) * (-8.0 * (A * (C * F))))) / (4.0 * (A * C))
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) return Float64(sqrt(Float64(Float64(A + A) * Float64(-8.0 * Float64(A * Float64(C * F))))) / Float64(4.0 * Float64(A * C))) end
A, B, C, F = num2cell(sort([A, B, C, F])){:}
function tmp = code(A, B, C, F)
tmp = sqrt(((A + A) * (-8.0 * (A * (C * F))))) / (4.0 * (A * C));
end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function. code[A_, B_, C_, F_] := N[(N[Sqrt[N[(N[(A + A), $MachinePrecision] * N[(-8.0 * N[(A * N[(C * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\frac{\sqrt{\left(A + A\right) \cdot \left(-8 \cdot \left(A \cdot \left(C \cdot F\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}
\end{array}
Initial program 20.7%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6418.4
Applied rewrites18.4%
Applied rewrites18.4%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.3
Applied rewrites15.3%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f64N/A
lower-*.f6412.2
Applied rewrites12.2%
Final simplification12.2%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function. (FPCore (A B C F) :precision binary64 (/ (sqrt (* -16.0 (* F (* C (* A A))))) (* 4.0 (* A C))))
assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
return sqrt((-16.0 * (F * (C * (A * A))))) / (4.0 * (A * C));
}
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
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
code = sqrt(((-16.0d0) * (f * (c * (a * a))))) / (4.0d0 * (a * c))
end function
assert A < B && B < C && C < F;
public static double code(double A, double B, double C, double F) {
return Math.sqrt((-16.0 * (F * (C * (A * A))))) / (4.0 * (A * C));
}
[A, B, C, F] = sort([A, B, C, F]) def code(A, B, C, F): return math.sqrt((-16.0 * (F * (C * (A * A))))) / (4.0 * (A * C))
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) return Float64(sqrt(Float64(-16.0 * Float64(F * Float64(C * Float64(A * A))))) / Float64(4.0 * Float64(A * C))) end
A, B, C, F = num2cell(sort([A, B, C, F])){:}
function tmp = code(A, B, C, F)
tmp = sqrt((-16.0 * (F * (C * (A * A))))) / (4.0 * (A * C));
end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function. code[A_, B_, C_, F_] := N[(N[Sqrt[N[(-16.0 * N[(F * N[(C * N[(A * A), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\frac{\sqrt{-16 \cdot \left(F \cdot \left(C \cdot \left(A \cdot A\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}
\end{array}
Initial program 20.7%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6418.4
Applied rewrites18.4%
Applied rewrites18.4%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.3
Applied rewrites15.3%
Taylor expanded in A around -inf
lower-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6410.8
Applied rewrites10.8%
Final simplification10.8%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function. (FPCore (A B C F) :precision binary64 (/ (sqrt (* -16.0 (* A (* F (* C C))))) (* 4.0 (* A C))))
assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
return sqrt((-16.0 * (A * (F * (C * C))))) / (4.0 * (A * C));
}
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
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
code = sqrt(((-16.0d0) * (a * (f * (c * c))))) / (4.0d0 * (a * c))
end function
assert A < B && B < C && C < F;
public static double code(double A, double B, double C, double F) {
return Math.sqrt((-16.0 * (A * (F * (C * C))))) / (4.0 * (A * C));
}
[A, B, C, F] = sort([A, B, C, F]) def code(A, B, C, F): return math.sqrt((-16.0 * (A * (F * (C * C))))) / (4.0 * (A * C))
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) return Float64(sqrt(Float64(-16.0 * Float64(A * Float64(F * Float64(C * C))))) / Float64(4.0 * Float64(A * C))) end
A, B, C, F = num2cell(sort([A, B, C, F])){:}
function tmp = code(A, B, C, F)
tmp = sqrt((-16.0 * (A * (F * (C * C))))) / (4.0 * (A * C));
end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function. code[A_, B_, C_, F_] := N[(N[Sqrt[N[(-16.0 * N[(A * N[(F * N[(C * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\frac{\sqrt{-16 \cdot \left(A \cdot \left(F \cdot \left(C \cdot C\right)\right)\right)}}{4 \cdot \left(A \cdot C\right)}
\end{array}
Initial program 20.7%
Taylor expanded in C around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-+.f6418.4
Applied rewrites18.4%
Applied rewrites18.4%
Taylor expanded in A around inf
lower-*.f64N/A
lower-*.f6415.3
Applied rewrites15.3%
Taylor expanded in C around -inf
lower-*.f64N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f647.6
Applied rewrites7.6%
Final simplification7.6%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function. (FPCore (A B C F) :precision binary64 (sqrt (/ 1.0 (/ B (* 2.0 F)))))
assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
return sqrt((1.0 / (B / (2.0 * F))));
}
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
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
code = sqrt((1.0d0 / (b / (2.0d0 * f))))
end function
assert A < B && B < C && C < F;
public static double code(double A, double B, double C, double F) {
return Math.sqrt((1.0 / (B / (2.0 * F))));
}
[A, B, C, F] = sort([A, B, C, F]) def code(A, B, C, F): return math.sqrt((1.0 / (B / (2.0 * F))))
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) return sqrt(Float64(1.0 / Float64(B / Float64(2.0 * F)))) end
A, B, C, F = num2cell(sort([A, B, C, F])){:}
function tmp = code(A, B, C, F)
tmp = sqrt((1.0 / (B / (2.0 * F))));
end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function. code[A_, B_, C_, F_] := N[Sqrt[N[(1.0 / N[(B / N[(2.0 * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\sqrt{\frac{1}{\frac{B}{2 \cdot F}}}
\end{array}
Initial program 20.7%
Taylor expanded in B around -inf
mul-1-negN/A
lower-neg.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
unpow2N/A
rem-square-sqrtN/A
lower-*.f64N/A
lower-sqrt.f641.9
Applied rewrites1.9%
Applied rewrites1.9%
Applied rewrites1.9%
NOTE: A, B, C, and F should be sorted in increasing order before calling this function. (FPCore (A B C F) :precision binary64 (sqrt (* F (/ 2.0 B))))
assert(A < B && B < C && C < F);
double code(double A, double B, double C, double F) {
return sqrt((F * (2.0 / B)));
}
NOTE: A, B, C, and F should be sorted in increasing order before calling this function.
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
code = sqrt((f * (2.0d0 / b)))
end function
assert A < B && B < C && C < F;
public static double code(double A, double B, double C, double F) {
return Math.sqrt((F * (2.0 / B)));
}
[A, B, C, F] = sort([A, B, C, F]) def code(A, B, C, F): return math.sqrt((F * (2.0 / B)))
A, B, C, F = sort([A, B, C, F]) function code(A, B, C, F) return sqrt(Float64(F * Float64(2.0 / B))) end
A, B, C, F = num2cell(sort([A, B, C, F])){:}
function tmp = code(A, B, C, F)
tmp = sqrt((F * (2.0 / B)));
end
NOTE: A, B, C, and F should be sorted in increasing order before calling this function. code[A_, B_, C_, F_] := N[Sqrt[N[(F * N[(2.0 / B), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
[A, B, C, F] = \mathsf{sort}([A, B, C, F])\\
\\
\sqrt{F \cdot \frac{2}{B}}
\end{array}
Initial program 20.7%
Taylor expanded in B around -inf
mul-1-negN/A
lower-neg.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
unpow2N/A
rem-square-sqrtN/A
lower-*.f64N/A
lower-sqrt.f641.9
Applied rewrites1.9%
Applied rewrites1.9%
Applied rewrites1.9%
herbie shell --seed 2024221
(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))))