
(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 13 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 (* C (* A 4.0)))
(t_1 (* (* F (- (pow B_m 2.0) t_0)) 2.0))
(t_2 (fma (* -4.0 C) A (* B_m B_m)))
(t_3 (- t_0 (pow B_m 2.0)))
(t_4
(/
(sqrt (* (+ (sqrt (+ (pow (- A C) 2.0) (pow B_m 2.0))) (+ C A)) t_1))
t_3)))
(if (<= t_4 -5e+263)
(/
(*
(* (sqrt F) (sqrt (* (fma (* C A) -4.0 (* B_m B_m)) 2.0)))
(sqrt (* C 2.0)))
t_3)
(if (<= t_4 -5e-189)
(/
(sqrt (* (+ (sqrt (fma (- A C) (- A C) (* B_m B_m))) (+ C A)) t_1))
t_3)
(if (<= t_4 0.0)
(/
(sqrt (* (* t_2 (* F 2.0)) (fma -0.5 (/ (* B_m B_m) A) (* C 2.0))))
(- t_2))
(if (<= t_4 INFINITY)
(/ (* (sqrt (* t_2 F)) (sqrt (* (* C 2.0) 2.0))) t_3)
(/ (sqrt (* F 2.0)) (- (sqrt 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) {
double t_0 = C * (A * 4.0);
double t_1 = (F * (pow(B_m, 2.0) - t_0)) * 2.0;
double t_2 = fma((-4.0 * C), A, (B_m * B_m));
double t_3 = t_0 - pow(B_m, 2.0);
double t_4 = sqrt(((sqrt((pow((A - C), 2.0) + pow(B_m, 2.0))) + (C + A)) * t_1)) / t_3;
double tmp;
if (t_4 <= -5e+263) {
tmp = ((sqrt(F) * sqrt((fma((C * A), -4.0, (B_m * B_m)) * 2.0))) * sqrt((C * 2.0))) / t_3;
} else if (t_4 <= -5e-189) {
tmp = sqrt(((sqrt(fma((A - C), (A - C), (B_m * B_m))) + (C + A)) * t_1)) / t_3;
} else if (t_4 <= 0.0) {
tmp = sqrt(((t_2 * (F * 2.0)) * fma(-0.5, ((B_m * B_m) / A), (C * 2.0)))) / -t_2;
} else if (t_4 <= ((double) INFINITY)) {
tmp = (sqrt((t_2 * F)) * sqrt(((C * 2.0) * 2.0))) / t_3;
} else {
tmp = sqrt((F * 2.0)) / -sqrt(B_m);
}
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(C * Float64(A * 4.0)) t_1 = Float64(Float64(F * Float64((B_m ^ 2.0) - t_0)) * 2.0) t_2 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) t_3 = Float64(t_0 - (B_m ^ 2.0)) t_4 = Float64(sqrt(Float64(Float64(sqrt(Float64((Float64(A - C) ^ 2.0) + (B_m ^ 2.0))) + Float64(C + A)) * t_1)) / t_3) tmp = 0.0 if (t_4 <= -5e+263) tmp = Float64(Float64(Float64(sqrt(F) * sqrt(Float64(fma(Float64(C * A), -4.0, Float64(B_m * B_m)) * 2.0))) * sqrt(Float64(C * 2.0))) / t_3); elseif (t_4 <= -5e-189) tmp = Float64(sqrt(Float64(Float64(sqrt(fma(Float64(A - C), Float64(A - C), Float64(B_m * B_m))) + Float64(C + A)) * t_1)) / t_3); elseif (t_4 <= 0.0) tmp = Float64(sqrt(Float64(Float64(t_2 * Float64(F * 2.0)) * fma(-0.5, Float64(Float64(B_m * B_m) / A), Float64(C * 2.0)))) / Float64(-t_2)); elseif (t_4 <= Inf) tmp = Float64(Float64(sqrt(Float64(t_2 * F)) * sqrt(Float64(Float64(C * 2.0) * 2.0))) / t_3); else tmp = Float64(sqrt(Float64(F * 2.0)) / Float64(-sqrt(B_m))); 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[(C * N[(A * 4.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(F * N[(N[Power[B$95$m, 2.0], $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 - N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(N[(N[Sqrt[N[(N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(C + A), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]], $MachinePrecision] / t$95$3), $MachinePrecision]}, If[LessEqual[t$95$4, -5e+263], N[(N[(N[(N[Sqrt[F], $MachinePrecision] * N[Sqrt[N[(N[(N[(C * A), $MachinePrecision] * -4.0 + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(C * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[t$95$4, -5e-189], N[(N[Sqrt[N[(N[(N[Sqrt[N[(N[(A - C), $MachinePrecision] * N[(A - C), $MachinePrecision] + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(C + A), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]], $MachinePrecision] / t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 0.0], N[(N[Sqrt[N[(N[(t$95$2 * N[(F * 2.0), $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[(N[(B$95$m * B$95$m), $MachinePrecision] / A), $MachinePrecision] + N[(C * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$2)), $MachinePrecision], If[LessEqual[t$95$4, Infinity], N[(N[(N[Sqrt[N[(t$95$2 * F), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(N[(C * 2.0), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision], N[(N[Sqrt[N[(F * 2.0), $MachinePrecision]], $MachinePrecision] / (-N[Sqrt[B$95$m], $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 := C \cdot \left(A \cdot 4\right)\\
t_1 := \left(F \cdot \left({B\_m}^{2} - t\_0\right)\right) \cdot 2\\
t_2 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
t_3 := t\_0 - {B\_m}^{2}\\
t_4 := \frac{\sqrt{\left(\sqrt{{\left(A - C\right)}^{2} + {B\_m}^{2}} + \left(C + A\right)\right) \cdot t\_1}}{t\_3}\\
\mathbf{if}\;t\_4 \leq -5 \cdot 10^{+263}:\\
\;\;\;\;\frac{\left(\sqrt{F} \cdot \sqrt{\mathsf{fma}\left(C \cdot A, -4, B\_m \cdot B\_m\right) \cdot 2}\right) \cdot \sqrt{C \cdot 2}}{t\_3}\\
\mathbf{elif}\;t\_4 \leq -5 \cdot 10^{-189}:\\
\;\;\;\;\frac{\sqrt{\left(\sqrt{\mathsf{fma}\left(A - C, A - C, B\_m \cdot B\_m\right)} + \left(C + A\right)\right) \cdot t\_1}}{t\_3}\\
\mathbf{elif}\;t\_4 \leq 0:\\
\;\;\;\;\frac{\sqrt{\left(t\_2 \cdot \left(F \cdot 2\right)\right) \cdot \mathsf{fma}\left(-0.5, \frac{B\_m \cdot B\_m}{A}, C \cdot 2\right)}}{-t\_2}\\
\mathbf{elif}\;t\_4 \leq \infty:\\
\;\;\;\;\frac{\sqrt{t\_2 \cdot F} \cdot \sqrt{\left(C \cdot 2\right) \cdot 2}}{t\_3}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{F \cdot 2}}{-\sqrt{B\_m}}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -5.00000000000000022e263Initial program 4.8%
Taylor expanded in C around inf
*-commutativeN/A
lower-*.f6416.4
Applied rewrites16.4%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-*r*N/A
sqrt-prodN/A
Applied rewrites21.6%
lift-neg.f64N/A
lift-*.f64N/A
distribute-rgt-neg-inN/A
Applied rewrites40.7%
if -5.00000000000000022e263 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -4.9999999999999997e-189Initial program 97.1%
lift-+.f64N/A
lift-pow.f64N/A
unpow2N/A
lower-fma.f6497.1
lift-pow.f64N/A
unpow2N/A
lower-*.f6497.1
Applied rewrites97.1%
if -4.9999999999999997e-189 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < 0.0Initial program 3.5%
Taylor expanded in A around -inf
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6427.3
Applied rewrites27.3%
Applied rewrites27.3%
if 0.0 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < +inf.0Initial program 38.9%
Taylor expanded in C around inf
*-commutativeN/A
lower-*.f6433.0
Applied rewrites33.0%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
sqrt-prodN/A
pow1/2N/A
Applied rewrites58.5%
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 B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6417.4
Applied rewrites17.4%
Applied rewrites17.5%
Applied rewrites21.7%
Final simplification41.1%
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 (* C (* A 4.0)))
(t_1 (- t_0 (pow B_m 2.0)))
(t_2
(/
(sqrt
(*
(+ (sqrt (+ (pow (- A C) 2.0) (pow B_m 2.0))) (+ C A))
(* (* F (- (pow B_m 2.0) t_0)) 2.0)))
t_1))
(t_3 (fma (* -4.0 C) A (* B_m B_m)))
(t_4 (fma -4.0 (* C A) (* B_m B_m))))
(if (<= t_2 -5e+263)
(/
(*
(* (sqrt F) (sqrt (* (fma (* C A) -4.0 (* B_m B_m)) 2.0)))
(sqrt (* C 2.0)))
t_1)
(if (<= t_2 -5e-189)
(/
-1.0
(/
t_4
(sqrt
(*
(* t_4 (* F 2.0))
(+ (sqrt (fma (- A C) (- A C) (* B_m B_m))) (+ C A))))))
(if (<= t_2 0.0)
(/
(sqrt (* (* t_3 (* F 2.0)) (fma -0.5 (/ (* B_m B_m) A) (* C 2.0))))
(- t_3))
(if (<= t_2 INFINITY)
(/ (* (sqrt (* t_3 F)) (sqrt (* (* C 2.0) 2.0))) t_1)
(/ (sqrt (* F 2.0)) (- (sqrt 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) {
double t_0 = C * (A * 4.0);
double t_1 = t_0 - pow(B_m, 2.0);
double t_2 = sqrt(((sqrt((pow((A - C), 2.0) + pow(B_m, 2.0))) + (C + A)) * ((F * (pow(B_m, 2.0) - t_0)) * 2.0))) / t_1;
double t_3 = fma((-4.0 * C), A, (B_m * B_m));
double t_4 = fma(-4.0, (C * A), (B_m * B_m));
double tmp;
if (t_2 <= -5e+263) {
tmp = ((sqrt(F) * sqrt((fma((C * A), -4.0, (B_m * B_m)) * 2.0))) * sqrt((C * 2.0))) / t_1;
} else if (t_2 <= -5e-189) {
tmp = -1.0 / (t_4 / sqrt(((t_4 * (F * 2.0)) * (sqrt(fma((A - C), (A - C), (B_m * B_m))) + (C + A)))));
} else if (t_2 <= 0.0) {
tmp = sqrt(((t_3 * (F * 2.0)) * fma(-0.5, ((B_m * B_m) / A), (C * 2.0)))) / -t_3;
} else if (t_2 <= ((double) INFINITY)) {
tmp = (sqrt((t_3 * F)) * sqrt(((C * 2.0) * 2.0))) / t_1;
} else {
tmp = sqrt((F * 2.0)) / -sqrt(B_m);
}
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(C * Float64(A * 4.0)) t_1 = Float64(t_0 - (B_m ^ 2.0)) t_2 = Float64(sqrt(Float64(Float64(sqrt(Float64((Float64(A - C) ^ 2.0) + (B_m ^ 2.0))) + Float64(C + A)) * Float64(Float64(F * Float64((B_m ^ 2.0) - t_0)) * 2.0))) / t_1) t_3 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) t_4 = fma(-4.0, Float64(C * A), Float64(B_m * B_m)) tmp = 0.0 if (t_2 <= -5e+263) tmp = Float64(Float64(Float64(sqrt(F) * sqrt(Float64(fma(Float64(C * A), -4.0, Float64(B_m * B_m)) * 2.0))) * sqrt(Float64(C * 2.0))) / t_1); elseif (t_2 <= -5e-189) tmp = Float64(-1.0 / Float64(t_4 / sqrt(Float64(Float64(t_4 * Float64(F * 2.0)) * Float64(sqrt(fma(Float64(A - C), Float64(A - C), Float64(B_m * B_m))) + Float64(C + A)))))); elseif (t_2 <= 0.0) tmp = Float64(sqrt(Float64(Float64(t_3 * Float64(F * 2.0)) * fma(-0.5, Float64(Float64(B_m * B_m) / A), Float64(C * 2.0)))) / Float64(-t_3)); elseif (t_2 <= Inf) tmp = Float64(Float64(sqrt(Float64(t_3 * F)) * sqrt(Float64(Float64(C * 2.0) * 2.0))) / t_1); else tmp = Float64(sqrt(Float64(F * 2.0)) / Float64(-sqrt(B_m))); 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[(C * N[(A * 4.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 - N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(N[(N[Sqrt[N[(N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(C + A), $MachinePrecision]), $MachinePrecision] * N[(N[(F * N[(N[Power[B$95$m, 2.0], $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(-4.0 * N[(C * A), $MachinePrecision] + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -5e+263], N[(N[(N[(N[Sqrt[F], $MachinePrecision] * N[Sqrt[N[(N[(N[(C * A), $MachinePrecision] * -4.0 + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(C * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[t$95$2, -5e-189], N[(-1.0 / N[(t$95$4 / N[Sqrt[N[(N[(t$95$4 * N[(F * 2.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(N[(A - C), $MachinePrecision] * N[(A - C), $MachinePrecision] + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(C + A), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 0.0], N[(N[Sqrt[N[(N[(t$95$3 * N[(F * 2.0), $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[(N[(B$95$m * B$95$m), $MachinePrecision] / A), $MachinePrecision] + N[(C * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$3)), $MachinePrecision], If[LessEqual[t$95$2, Infinity], N[(N[(N[Sqrt[N[(t$95$3 * F), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(N[(C * 2.0), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision], N[(N[Sqrt[N[(F * 2.0), $MachinePrecision]], $MachinePrecision] / (-N[Sqrt[B$95$m], $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 := C \cdot \left(A \cdot 4\right)\\
t_1 := t\_0 - {B\_m}^{2}\\
t_2 := \frac{\sqrt{\left(\sqrt{{\left(A - C\right)}^{2} + {B\_m}^{2}} + \left(C + A\right)\right) \cdot \left(\left(F \cdot \left({B\_m}^{2} - t\_0\right)\right) \cdot 2\right)}}{t\_1}\\
t_3 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
t_4 := \mathsf{fma}\left(-4, C \cdot A, B\_m \cdot B\_m\right)\\
\mathbf{if}\;t\_2 \leq -5 \cdot 10^{+263}:\\
\;\;\;\;\frac{\left(\sqrt{F} \cdot \sqrt{\mathsf{fma}\left(C \cdot A, -4, B\_m \cdot B\_m\right) \cdot 2}\right) \cdot \sqrt{C \cdot 2}}{t\_1}\\
\mathbf{elif}\;t\_2 \leq -5 \cdot 10^{-189}:\\
\;\;\;\;\frac{-1}{\frac{t\_4}{\sqrt{\left(t\_4 \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B\_m \cdot B\_m\right)} + \left(C + A\right)\right)}}}\\
\mathbf{elif}\;t\_2 \leq 0:\\
\;\;\;\;\frac{\sqrt{\left(t\_3 \cdot \left(F \cdot 2\right)\right) \cdot \mathsf{fma}\left(-0.5, \frac{B\_m \cdot B\_m}{A}, C \cdot 2\right)}}{-t\_3}\\
\mathbf{elif}\;t\_2 \leq \infty:\\
\;\;\;\;\frac{\sqrt{t\_3 \cdot F} \cdot \sqrt{\left(C \cdot 2\right) \cdot 2}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{F \cdot 2}}{-\sqrt{B\_m}}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -5.00000000000000022e263Initial program 4.8%
Taylor expanded in C around inf
*-commutativeN/A
lower-*.f6416.4
Applied rewrites16.4%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-*r*N/A
sqrt-prodN/A
Applied rewrites21.6%
lift-neg.f64N/A
lift-*.f64N/A
distribute-rgt-neg-inN/A
Applied rewrites40.7%
if -5.00000000000000022e263 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -4.9999999999999997e-189Initial program 97.1%
lift-/.f64N/A
lift-neg.f64N/A
distribute-frac-negN/A
neg-mul-1N/A
clear-numN/A
un-div-invN/A
Applied rewrites13.3%
lift-hypot.f64N/A
lift-*.f64N/A
lower-fma.f6496.9
Applied rewrites96.9%
if -4.9999999999999997e-189 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < 0.0Initial program 3.5%
Taylor expanded in A around -inf
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6427.3
Applied rewrites27.3%
Applied rewrites27.3%
if 0.0 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < +inf.0Initial program 38.9%
Taylor expanded in C around inf
*-commutativeN/A
lower-*.f6433.0
Applied rewrites33.0%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
sqrt-prodN/A
pow1/2N/A
Applied rewrites58.5%
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 B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6417.4
Applied rewrites17.4%
Applied rewrites17.5%
Applied rewrites21.7%
Final simplification41.1%
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)))
(t_1 (fma (* C A) -4.0 (* B_m B_m)))
(t_2 (fma (* -4.0 C) A (* B_m B_m)))
(t_3 (* C (* A 4.0)))
(t_4 (- t_3 (pow B_m 2.0)))
(t_5
(/
(sqrt
(*
(+ (sqrt (+ (pow (- A C) 2.0) (pow B_m 2.0))) (+ C A))
(* (* F (- (pow B_m 2.0) t_3)) 2.0)))
t_4))
(t_6 (fma -0.5 (/ (* B_m B_m) A) (* C 2.0))))
(if (<= t_5 (- INFINITY))
(* (* (/ (- (sqrt F)) t_1) (sqrt t_6)) (sqrt (* t_1 2.0)))
(if (<= t_5 -5e-189)
(/
-1.0
(/
t_0
(sqrt
(*
(* t_0 (* F 2.0))
(+ (sqrt (fma (- A C) (- A C) (* B_m B_m))) (+ C A))))))
(if (<= t_5 0.0)
(/ (sqrt (* (* t_2 (* F 2.0)) t_6)) (- t_2))
(if (<= t_5 INFINITY)
(/ (* (sqrt (* t_2 F)) (sqrt (* (* C 2.0) 2.0))) t_4)
(/ (sqrt (* F 2.0)) (- (sqrt 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) {
double t_0 = fma(-4.0, (C * A), (B_m * B_m));
double t_1 = fma((C * A), -4.0, (B_m * B_m));
double t_2 = fma((-4.0 * C), A, (B_m * B_m));
double t_3 = C * (A * 4.0);
double t_4 = t_3 - pow(B_m, 2.0);
double t_5 = sqrt(((sqrt((pow((A - C), 2.0) + pow(B_m, 2.0))) + (C + A)) * ((F * (pow(B_m, 2.0) - t_3)) * 2.0))) / t_4;
double t_6 = fma(-0.5, ((B_m * B_m) / A), (C * 2.0));
double tmp;
if (t_5 <= -((double) INFINITY)) {
tmp = ((-sqrt(F) / t_1) * sqrt(t_6)) * sqrt((t_1 * 2.0));
} else if (t_5 <= -5e-189) {
tmp = -1.0 / (t_0 / sqrt(((t_0 * (F * 2.0)) * (sqrt(fma((A - C), (A - C), (B_m * B_m))) + (C + A)))));
} else if (t_5 <= 0.0) {
tmp = sqrt(((t_2 * (F * 2.0)) * t_6)) / -t_2;
} else if (t_5 <= ((double) INFINITY)) {
tmp = (sqrt((t_2 * F)) * sqrt(((C * 2.0) * 2.0))) / t_4;
} else {
tmp = sqrt((F * 2.0)) / -sqrt(B_m);
}
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 = fma(Float64(C * A), -4.0, Float64(B_m * B_m)) t_2 = fma(Float64(-4.0 * C), A, Float64(B_m * B_m)) t_3 = Float64(C * Float64(A * 4.0)) t_4 = Float64(t_3 - (B_m ^ 2.0)) t_5 = Float64(sqrt(Float64(Float64(sqrt(Float64((Float64(A - C) ^ 2.0) + (B_m ^ 2.0))) + Float64(C + A)) * Float64(Float64(F * Float64((B_m ^ 2.0) - t_3)) * 2.0))) / t_4) t_6 = fma(-0.5, Float64(Float64(B_m * B_m) / A), Float64(C * 2.0)) tmp = 0.0 if (t_5 <= Float64(-Inf)) tmp = Float64(Float64(Float64(Float64(-sqrt(F)) / t_1) * sqrt(t_6)) * sqrt(Float64(t_1 * 2.0))); elseif (t_5 <= -5e-189) tmp = Float64(-1.0 / Float64(t_0 / sqrt(Float64(Float64(t_0 * Float64(F * 2.0)) * Float64(sqrt(fma(Float64(A - C), Float64(A - C), Float64(B_m * B_m))) + Float64(C + A)))))); elseif (t_5 <= 0.0) tmp = Float64(sqrt(Float64(Float64(t_2 * Float64(F * 2.0)) * t_6)) / Float64(-t_2)); elseif (t_5 <= Inf) tmp = Float64(Float64(sqrt(Float64(t_2 * F)) * sqrt(Float64(Float64(C * 2.0) * 2.0))) / t_4); else tmp = Float64(sqrt(Float64(F * 2.0)) / Float64(-sqrt(B_m))); 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] * -4.0 + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(-4.0 * C), $MachinePrecision] * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(C * N[(A * 4.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(N[(N[Sqrt[N[(N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(C + A), $MachinePrecision]), $MachinePrecision] * N[(N[(F * N[(N[Power[B$95$m, 2.0], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(-0.5 * N[(N[(B$95$m * B$95$m), $MachinePrecision] / A), $MachinePrecision] + N[(C * 2.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, (-Infinity)], N[(N[(N[((-N[Sqrt[F], $MachinePrecision]) / t$95$1), $MachinePrecision] * N[Sqrt[t$95$6], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(t$95$1 * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, -5e-189], N[(-1.0 / N[(t$95$0 / N[Sqrt[N[(N[(t$95$0 * N[(F * 2.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(N[(A - C), $MachinePrecision] * N[(A - C), $MachinePrecision] + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(C + A), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 0.0], N[(N[Sqrt[N[(N[(t$95$2 * N[(F * 2.0), $MachinePrecision]), $MachinePrecision] * t$95$6), $MachinePrecision]], $MachinePrecision] / (-t$95$2)), $MachinePrecision], If[LessEqual[t$95$5, Infinity], N[(N[(N[Sqrt[N[(t$95$2 * F), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(N[(C * 2.0), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$4), $MachinePrecision], N[(N[Sqrt[N[(F * 2.0), $MachinePrecision]], $MachinePrecision] / (-N[Sqrt[B$95$m], $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 := \mathsf{fma}\left(C \cdot A, -4, B\_m \cdot B\_m\right)\\
t_2 := \mathsf{fma}\left(-4 \cdot C, A, B\_m \cdot B\_m\right)\\
t_3 := C \cdot \left(A \cdot 4\right)\\
t_4 := t\_3 - {B\_m}^{2}\\
t_5 := \frac{\sqrt{\left(\sqrt{{\left(A - C\right)}^{2} + {B\_m}^{2}} + \left(C + A\right)\right) \cdot \left(\left(F \cdot \left({B\_m}^{2} - t\_3\right)\right) \cdot 2\right)}}{t\_4}\\
t_6 := \mathsf{fma}\left(-0.5, \frac{B\_m \cdot B\_m}{A}, C \cdot 2\right)\\
\mathbf{if}\;t\_5 \leq -\infty:\\
\;\;\;\;\left(\frac{-\sqrt{F}}{t\_1} \cdot \sqrt{t\_6}\right) \cdot \sqrt{t\_1 \cdot 2}\\
\mathbf{elif}\;t\_5 \leq -5 \cdot 10^{-189}:\\
\;\;\;\;\frac{-1}{\frac{t\_0}{\sqrt{\left(t\_0 \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B\_m \cdot B\_m\right)} + \left(C + A\right)\right)}}}\\
\mathbf{elif}\;t\_5 \leq 0:\\
\;\;\;\;\frac{\sqrt{\left(t\_2 \cdot \left(F \cdot 2\right)\right) \cdot t\_6}}{-t\_2}\\
\mathbf{elif}\;t\_5 \leq \infty:\\
\;\;\;\;\frac{\sqrt{t\_2 \cdot F} \cdot \sqrt{\left(C \cdot 2\right) \cdot 2}}{t\_4}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{F \cdot 2}}{-\sqrt{B\_m}}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -inf.0Initial program 3.3%
Taylor expanded in A around -inf
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6417.8
Applied rewrites17.8%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-*r*N/A
Applied rewrites21.4%
Applied rewrites19.9%
lift-*.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-*.f64N/A
unpow-prod-downN/A
Applied rewrites36.5%
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))) < -4.9999999999999997e-189Initial program 97.1%
lift-/.f64N/A
lift-neg.f64N/A
distribute-frac-negN/A
neg-mul-1N/A
clear-numN/A
un-div-invN/A
Applied rewrites13.5%
lift-hypot.f64N/A
lift-*.f64N/A
lower-fma.f6496.9
Applied rewrites96.9%
if -4.9999999999999997e-189 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < 0.0Initial program 3.5%
Taylor expanded in A around -inf
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6427.3
Applied rewrites27.3%
Applied rewrites27.3%
if 0.0 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < +inf.0Initial program 38.9%
Taylor expanded in C around inf
*-commutativeN/A
lower-*.f6433.0
Applied rewrites33.0%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
sqrt-prodN/A
pow1/2N/A
Applied rewrites58.5%
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 B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6417.4
Applied rewrites17.4%
Applied rewrites17.5%
Applied rewrites21.7%
Final simplification40.3%
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)))
(t_1 (fma (* C A) -4.0 (* B_m B_m)))
(t_2 (fma -4.0 (* C A) (* B_m B_m)))
(t_3 (* C (* A 4.0)))
(t_4
(/
(sqrt
(*
(+ (sqrt (+ (pow (- A C) 2.0) (pow B_m 2.0))) (+ C A))
(* (* F (- (pow B_m 2.0) t_3)) 2.0)))
(- t_3 (pow B_m 2.0))))
(t_5 (fma -0.5 (/ (* B_m B_m) A) (* C 2.0))))
(if (<= t_4 (- INFINITY))
(* (* (/ (- (sqrt F)) t_1) (sqrt t_5)) (sqrt (* t_1 2.0)))
(if (<= t_4 -5e-189)
(/
-1.0
(/
t_2
(sqrt
(*
(* t_2 (* F 2.0))
(+ (sqrt (fma (- A C) (- A C) (* B_m B_m))) (+ C A))))))
(if (<= t_4 INFINITY)
(/ (sqrt (* (* t_0 (* F 2.0)) t_5)) (- t_0))
(/ (sqrt (* F 2.0)) (- (sqrt 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) {
double t_0 = fma((-4.0 * C), A, (B_m * B_m));
double t_1 = fma((C * A), -4.0, (B_m * B_m));
double t_2 = fma(-4.0, (C * A), (B_m * B_m));
double t_3 = C * (A * 4.0);
double t_4 = sqrt(((sqrt((pow((A - C), 2.0) + pow(B_m, 2.0))) + (C + A)) * ((F * (pow(B_m, 2.0) - t_3)) * 2.0))) / (t_3 - pow(B_m, 2.0));
double t_5 = fma(-0.5, ((B_m * B_m) / A), (C * 2.0));
double tmp;
if (t_4 <= -((double) INFINITY)) {
tmp = ((-sqrt(F) / t_1) * sqrt(t_5)) * sqrt((t_1 * 2.0));
} else if (t_4 <= -5e-189) {
tmp = -1.0 / (t_2 / sqrt(((t_2 * (F * 2.0)) * (sqrt(fma((A - C), (A - C), (B_m * B_m))) + (C + A)))));
} else if (t_4 <= ((double) INFINITY)) {
tmp = sqrt(((t_0 * (F * 2.0)) * t_5)) / -t_0;
} else {
tmp = sqrt((F * 2.0)) / -sqrt(B_m);
}
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)) t_1 = fma(Float64(C * A), -4.0, Float64(B_m * B_m)) t_2 = fma(-4.0, Float64(C * A), Float64(B_m * B_m)) t_3 = Float64(C * Float64(A * 4.0)) t_4 = Float64(sqrt(Float64(Float64(sqrt(Float64((Float64(A - C) ^ 2.0) + (B_m ^ 2.0))) + Float64(C + A)) * Float64(Float64(F * Float64((B_m ^ 2.0) - t_3)) * 2.0))) / Float64(t_3 - (B_m ^ 2.0))) t_5 = fma(-0.5, Float64(Float64(B_m * B_m) / A), Float64(C * 2.0)) tmp = 0.0 if (t_4 <= Float64(-Inf)) tmp = Float64(Float64(Float64(Float64(-sqrt(F)) / t_1) * sqrt(t_5)) * sqrt(Float64(t_1 * 2.0))); elseif (t_4 <= -5e-189) tmp = Float64(-1.0 / Float64(t_2 / sqrt(Float64(Float64(t_2 * Float64(F * 2.0)) * Float64(sqrt(fma(Float64(A - C), Float64(A - C), Float64(B_m * B_m))) + Float64(C + A)))))); elseif (t_4 <= Inf) tmp = Float64(sqrt(Float64(Float64(t_0 * Float64(F * 2.0)) * t_5)) / Float64(-t_0)); else tmp = Float64(sqrt(Float64(F * 2.0)) / Float64(-sqrt(B_m))); 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]}, Block[{t$95$1 = N[(N[(C * A), $MachinePrecision] * -4.0 + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(-4.0 * N[(C * A), $MachinePrecision] + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(C * N[(A * 4.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(N[(N[Sqrt[N[(N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(C + A), $MachinePrecision]), $MachinePrecision] * N[(N[(F * N[(N[Power[B$95$m, 2.0], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$3 - N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(-0.5 * N[(N[(B$95$m * B$95$m), $MachinePrecision] / A), $MachinePrecision] + N[(C * 2.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, (-Infinity)], N[(N[(N[((-N[Sqrt[F], $MachinePrecision]) / t$95$1), $MachinePrecision] * N[Sqrt[t$95$5], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(t$95$1 * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, -5e-189], N[(-1.0 / N[(t$95$2 / N[Sqrt[N[(N[(t$95$2 * N[(F * 2.0), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(N[(A - C), $MachinePrecision] * N[(A - C), $MachinePrecision] + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(C + A), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, Infinity], N[(N[Sqrt[N[(N[(t$95$0 * N[(F * 2.0), $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision]], $MachinePrecision] / (-t$95$0)), $MachinePrecision], N[(N[Sqrt[N[(F * 2.0), $MachinePrecision]], $MachinePrecision] / (-N[Sqrt[B$95$m], $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)\\
t_1 := \mathsf{fma}\left(C \cdot A, -4, B\_m \cdot B\_m\right)\\
t_2 := \mathsf{fma}\left(-4, C \cdot A, B\_m \cdot B\_m\right)\\
t_3 := C \cdot \left(A \cdot 4\right)\\
t_4 := \frac{\sqrt{\left(\sqrt{{\left(A - C\right)}^{2} + {B\_m}^{2}} + \left(C + A\right)\right) \cdot \left(\left(F \cdot \left({B\_m}^{2} - t\_3\right)\right) \cdot 2\right)}}{t\_3 - {B\_m}^{2}}\\
t_5 := \mathsf{fma}\left(-0.5, \frac{B\_m \cdot B\_m}{A}, C \cdot 2\right)\\
\mathbf{if}\;t\_4 \leq -\infty:\\
\;\;\;\;\left(\frac{-\sqrt{F}}{t\_1} \cdot \sqrt{t\_5}\right) \cdot \sqrt{t\_1 \cdot 2}\\
\mathbf{elif}\;t\_4 \leq -5 \cdot 10^{-189}:\\
\;\;\;\;\frac{-1}{\frac{t\_2}{\sqrt{\left(t\_2 \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B\_m \cdot B\_m\right)} + \left(C + A\right)\right)}}}\\
\mathbf{elif}\;t\_4 \leq \infty:\\
\;\;\;\;\frac{\sqrt{\left(t\_0 \cdot \left(F \cdot 2\right)\right) \cdot t\_5}}{-t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{F \cdot 2}}{-\sqrt{B\_m}}\\
\end{array}
\end{array}
if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < -inf.0Initial program 3.3%
Taylor expanded in A around -inf
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6417.8
Applied rewrites17.8%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-*r*N/A
Applied rewrites21.4%
Applied rewrites19.9%
lift-*.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-*.f64N/A
unpow-prod-downN/A
Applied rewrites36.5%
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))) < -4.9999999999999997e-189Initial program 97.1%
lift-/.f64N/A
lift-neg.f64N/A
distribute-frac-negN/A
neg-mul-1N/A
clear-numN/A
un-div-invN/A
Applied rewrites13.5%
lift-hypot.f64N/A
lift-*.f64N/A
lower-fma.f6496.9
Applied rewrites96.9%
if -4.9999999999999997e-189 < (/.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 20.6%
Taylor expanded in A around -inf
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6430.1
Applied rewrites30.1%
Applied rewrites30.1%
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 B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6417.4
Applied rewrites17.4%
Applied rewrites17.5%
Applied rewrites21.7%
Final simplification37.3%
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-32)
(/
(sqrt (* (* t_0 (* F 2.0)) (fma -0.5 (/ (* B_m B_m) A) (* C 2.0))))
(- t_0))
(/ (sqrt (* F 2.0)) (- (sqrt 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) {
double t_0 = fma((-4.0 * C), A, (B_m * B_m));
double tmp;
if (pow(B_m, 2.0) <= 1e-32) {
tmp = sqrt(((t_0 * (F * 2.0)) * fma(-0.5, ((B_m * B_m) / A), (C * 2.0)))) / -t_0;
} else {
tmp = sqrt((F * 2.0)) / -sqrt(B_m);
}
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-32) tmp = Float64(sqrt(Float64(Float64(t_0 * Float64(F * 2.0)) * fma(-0.5, Float64(Float64(B_m * B_m) / A), Float64(C * 2.0)))) / Float64(-t_0)); else tmp = Float64(sqrt(Float64(F * 2.0)) / Float64(-sqrt(B_m))); 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-32], N[(N[Sqrt[N[(N[(t$95$0 * N[(F * 2.0), $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[(N[(B$95$m * B$95$m), $MachinePrecision] / A), $MachinePrecision] + N[(C * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$0)), $MachinePrecision], N[(N[Sqrt[N[(F * 2.0), $MachinePrecision]], $MachinePrecision] / (-N[Sqrt[B$95$m], $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^{-32}:\\
\;\;\;\;\frac{\sqrt{\left(t\_0 \cdot \left(F \cdot 2\right)\right) \cdot \mathsf{fma}\left(-0.5, \frac{B\_m \cdot B\_m}{A}, C \cdot 2\right)}}{-t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{F \cdot 2}}{-\sqrt{B\_m}}\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 1.00000000000000006e-32Initial program 24.1%
Taylor expanded in A around -inf
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6425.4
Applied rewrites25.4%
Applied rewrites25.4%
if 1.00000000000000006e-32 < (pow.f64 B #s(literal 2 binary64)) Initial program 13.1%
Taylor expanded in B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6426.9
Applied rewrites26.9%
Applied rewrites27.0%
Applied rewrites31.8%
Final simplification28.5%
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 (fma (* -4.0 C) A (* B_m B_m))))
(if (<= (pow B_m 2.0) 5e+54)
(/ (sqrt (* (* C 2.0) (* t_0 (* F 2.0)))) (- t_0))
(/ (sqrt (* F 2.0)) (- (sqrt 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) {
double t_0 = fma((-4.0 * C), A, (B_m * B_m));
double tmp;
if (pow(B_m, 2.0) <= 5e+54) {
tmp = sqrt(((C * 2.0) * (t_0 * (F * 2.0)))) / -t_0;
} else {
tmp = sqrt((F * 2.0)) / -sqrt(B_m);
}
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+54) tmp = Float64(sqrt(Float64(Float64(C * 2.0) * Float64(t_0 * Float64(F * 2.0)))) / Float64(-t_0)); else tmp = Float64(sqrt(Float64(F * 2.0)) / Float64(-sqrt(B_m))); 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+54], N[(N[Sqrt[N[(N[(C * 2.0), $MachinePrecision] * N[(t$95$0 * N[(F * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / (-t$95$0)), $MachinePrecision], N[(N[Sqrt[N[(F * 2.0), $MachinePrecision]], $MachinePrecision] / (-N[Sqrt[B$95$m], $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^{+54}:\\
\;\;\;\;\frac{\sqrt{\left(C \cdot 2\right) \cdot \left(t\_0 \cdot \left(F \cdot 2\right)\right)}}{-t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{F \cdot 2}}{-\sqrt{B\_m}}\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 5.00000000000000005e54Initial program 25.2%
Taylor expanded in C around inf
*-commutativeN/A
lower-*.f6424.9
Applied rewrites24.9%
lift-/.f64N/A
frac-2negN/A
lift-neg.f64N/A
remove-double-negN/A
lower-/.f64N/A
Applied rewrites24.9%
if 5.00000000000000005e54 < (pow.f64 B #s(literal 2 binary64)) Initial program 9.5%
Taylor expanded in B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6428.7
Applied rewrites28.7%
Applied rewrites28.8%
Applied rewrites34.5%
Final simplification28.8%
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
(if (<= (pow B_m 2.0) 5e-112)
(*
(sqrt (* (* (* C C) A) -16.0))
(/ (- (sqrt F)) (fma (* C A) -4.0 (* B_m B_m))))
(/ (sqrt (* F 2.0)) (- (sqrt 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) {
double tmp;
if (pow(B_m, 2.0) <= 5e-112) {
tmp = sqrt((((C * C) * A) * -16.0)) * (-sqrt(F) / fma((C * A), -4.0, (B_m * B_m)));
} else {
tmp = sqrt((F * 2.0)) / -sqrt(B_m);
}
return tmp;
}
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) tmp = 0.0 if ((B_m ^ 2.0) <= 5e-112) tmp = Float64(sqrt(Float64(Float64(Float64(C * C) * A) * -16.0)) * Float64(Float64(-sqrt(F)) / fma(Float64(C * A), -4.0, Float64(B_m * B_m)))); else tmp = Float64(sqrt(Float64(F * 2.0)) / Float64(-sqrt(B_m))); 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_] := If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e-112], N[(N[Sqrt[N[(N[(N[(C * C), $MachinePrecision] * A), $MachinePrecision] * -16.0), $MachinePrecision]], $MachinePrecision] * N[((-N[Sqrt[F], $MachinePrecision]) / N[(N[(C * A), $MachinePrecision] * -4.0 + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(F * 2.0), $MachinePrecision]], $MachinePrecision] / (-N[Sqrt[B$95$m], $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}
\mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{-112}:\\
\;\;\;\;\sqrt{\left(\left(C \cdot C\right) \cdot A\right) \cdot -16} \cdot \frac{-\sqrt{F}}{\mathsf{fma}\left(C \cdot A, -4, B\_m \cdot B\_m\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{F \cdot 2}}{-\sqrt{B\_m}}\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 5.00000000000000044e-112Initial program 22.2%
Taylor expanded in A around -inf
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6425.4
Applied rewrites25.4%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-*r*N/A
Applied rewrites19.8%
Applied rewrites19.7%
Taylor expanded in C around inf
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6416.6
Applied rewrites16.6%
if 5.00000000000000044e-112 < (pow.f64 B #s(literal 2 binary64)) Initial program 16.1%
Taylor expanded in B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6424.5
Applied rewrites24.5%
Applied rewrites24.6%
Applied rewrites28.6%
Final simplification23.5%
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 (if (<= (pow B_m 2.0) 5e-112) (/ (sqrt (* (* (* (* C C) F) A) -16.0)) (- (* (* C A) -4.0))) (/ (sqrt (* F 2.0)) (- (sqrt 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) {
double tmp;
if (pow(B_m, 2.0) <= 5e-112) {
tmp = sqrt(((((C * C) * F) * A) * -16.0)) / -((C * A) * -4.0);
} else {
tmp = sqrt((F * 2.0)) / -sqrt(B_m);
}
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) :: tmp
if ((b_m ** 2.0d0) <= 5d-112) then
tmp = sqrt(((((c * c) * f) * a) * (-16.0d0))) / -((c * a) * (-4.0d0))
else
tmp = sqrt((f * 2.0d0)) / -sqrt(b_m)
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 tmp;
if (Math.pow(B_m, 2.0) <= 5e-112) {
tmp = Math.sqrt(((((C * C) * F) * A) * -16.0)) / -((C * A) * -4.0);
} else {
tmp = Math.sqrt((F * 2.0)) / -Math.sqrt(B_m);
}
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): tmp = 0 if math.pow(B_m, 2.0) <= 5e-112: tmp = math.sqrt(((((C * C) * F) * A) * -16.0)) / -((C * A) * -4.0) else: tmp = math.sqrt((F * 2.0)) / -math.sqrt(B_m) return tmp
B_m = abs(B) A, B_m, C, F = sort([A, B_m, C, F]) function code(A, B_m, C, F) tmp = 0.0 if ((B_m ^ 2.0) <= 5e-112) tmp = Float64(sqrt(Float64(Float64(Float64(Float64(C * C) * F) * A) * -16.0)) / Float64(-Float64(Float64(C * A) * -4.0))); else tmp = Float64(sqrt(Float64(F * 2.0)) / Float64(-sqrt(B_m))); 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)
tmp = 0.0;
if ((B_m ^ 2.0) <= 5e-112)
tmp = sqrt(((((C * C) * F) * A) * -16.0)) / -((C * A) * -4.0);
else
tmp = sqrt((F * 2.0)) / -sqrt(B_m);
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_] := If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e-112], N[(N[Sqrt[N[(N[(N[(N[(C * C), $MachinePrecision] * F), $MachinePrecision] * A), $MachinePrecision] * -16.0), $MachinePrecision]], $MachinePrecision] / (-N[(N[(C * A), $MachinePrecision] * -4.0), $MachinePrecision])), $MachinePrecision], N[(N[Sqrt[N[(F * 2.0), $MachinePrecision]], $MachinePrecision] / (-N[Sqrt[B$95$m], $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}
\mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{-112}:\\
\;\;\;\;\frac{\sqrt{\left(\left(\left(C \cdot C\right) \cdot F\right) \cdot A\right) \cdot -16}}{-\left(C \cdot A\right) \cdot -4}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{F \cdot 2}}{-\sqrt{B\_m}}\\
\end{array}
\end{array}
if (pow.f64 B #s(literal 2 binary64)) < 5.00000000000000044e-112Initial program 22.2%
lift-sqrt.f64N/A
lift-+.f64N/A
flip-+N/A
clear-numN/A
sqrt-divN/A
metadata-evalN/A
lower-/.f64N/A
lower-sqrt.f64N/A
clear-numN/A
flip-+N/A
lift-+.f64N/A
Applied rewrites7.1%
Taylor expanded in C around inf
lower-*.f64N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6415.5
Applied rewrites15.5%
Taylor expanded in C around inf
lower-*.f64N/A
lower-*.f6415.4
Applied rewrites15.4%
if 5.00000000000000044e-112 < (pow.f64 B #s(literal 2 binary64)) Initial program 16.1%
Taylor expanded in B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6424.5
Applied rewrites24.5%
Applied rewrites24.6%
Applied rewrites28.6%
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 2.0)) (- (sqrt 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)) / -sqrt(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)) / -sqrt(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)) / -Math.sqrt(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)) / -math.sqrt(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 Float64(sqrt(Float64(F * 2.0)) / Float64(-sqrt(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)) / -sqrt(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[(N[Sqrt[N[(F * 2.0), $MachinePrecision]], $MachinePrecision] / (-N[Sqrt[B$95$m], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\frac{\sqrt{F \cdot 2}}{-\sqrt{B\_m}}
\end{array}
Initial program 18.7%
Taylor expanded in B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6415.3
Applied rewrites15.3%
Applied rewrites15.4%
Applied rewrites18.1%
Final simplification18.1%
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)) (sqrt (* 0.5 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) / sqrt((0.5 * 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) / sqrt((0.5d0 * 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) / Math.sqrt((0.5 * 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) / math.sqrt((0.5 * 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 Float64(Float64(-sqrt(F)) / sqrt(Float64(0.5 * 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) / sqrt((0.5 * 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[((-N[Sqrt[F], $MachinePrecision]) / N[Sqrt[N[(0.5 * 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])\\
\\
\frac{-\sqrt{F}}{\sqrt{0.5 \cdot B\_m}}
\end{array}
Initial program 18.7%
Taylor expanded in B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6415.3
Applied rewrites15.3%
Applied rewrites15.4%
Applied rewrites18.1%
Applied rewrites18.1%
Final simplification18.1%
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 (/ 2.0 B_m)) (- (sqrt 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)) * -sqrt(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)) * -sqrt(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)) * -Math.sqrt(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)) * -math.sqrt(F)
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(2.0 / B_m)) * Float64(-sqrt(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)) * -sqrt(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[(N[Sqrt[N[(2.0 / B$95$m), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[F], $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}{B\_m}} \cdot \left(-\sqrt{F}\right)
\end{array}
Initial program 18.7%
Taylor expanded in B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6415.3
Applied rewrites15.3%
Applied rewrites15.4%
Applied rewrites18.1%
Final simplification18.1%
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 B_m) 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 / B_m) * 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 / b_m) * 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 / B_m) * 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 / B_m) * 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(Float64(F / B_m) * 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 / B_m) * 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[Sqrt[N[(N[(F / B$95$m), $MachinePrecision] * 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{\frac{F}{B\_m} \cdot 2}
\end{array}
Initial program 18.7%
Taylor expanded in B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6415.3
Applied rewrites15.3%
Applied rewrites15.4%
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 Float64(-sqrt(Float64(Float64(2.0 / 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[(N[(2.0 / B$95$m), $MachinePrecision] * F), $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}{B\_m} \cdot F}
\end{array}
Initial program 18.7%
Taylor expanded in B around inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f6415.3
Applied rewrites15.3%
Applied rewrites15.4%
Applied rewrites15.4%
Final simplification15.4%
herbie shell --seed 2024249
(FPCore (A B C F)
:name "ABCF->ab-angle a"
:precision binary64
(/ (- (sqrt (* (* 2.0 (* (- (pow B 2.0) (* (* 4.0 A) C)) F)) (+ (+ A C) (sqrt (+ (pow (- A C) 2.0) (pow B 2.0))))))) (- (pow B 2.0) (* (* 4.0 A) C))))