
(FPCore (x y z)
:precision binary64
(+
(+ (- (* (- x 0.5) (log x)) x) 0.91893853320467)
(/
(+
(* (- (* (+ y 0.0007936500793651) z) 0.0027777777777778) z)
0.083333333333333)
x)))
double code(double x, double y, double z) {
return ((((x - 0.5) * log(x)) - x) + 0.91893853320467) + ((((((y + 0.0007936500793651) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x);
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = ((((x - 0.5d0) * log(x)) - x) + 0.91893853320467d0) + ((((((y + 0.0007936500793651d0) * z) - 0.0027777777777778d0) * z) + 0.083333333333333d0) / x)
end function
public static double code(double x, double y, double z) {
return ((((x - 0.5) * Math.log(x)) - x) + 0.91893853320467) + ((((((y + 0.0007936500793651) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x);
}
def code(x, y, z): return ((((x - 0.5) * math.log(x)) - x) + 0.91893853320467) + ((((((y + 0.0007936500793651) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x)
function code(x, y, z) return Float64(Float64(Float64(Float64(Float64(x - 0.5) * log(x)) - x) + 0.91893853320467) + Float64(Float64(Float64(Float64(Float64(Float64(y + 0.0007936500793651) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x)) end
function tmp = code(x, y, z) tmp = ((((x - 0.5) * log(x)) - x) + 0.91893853320467) + ((((((y + 0.0007936500793651) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x); end
code[x_, y_, z_] := N[(N[(N[(N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision]), $MachinePrecision] - x), $MachinePrecision] + 0.91893853320467), $MachinePrecision] + N[(N[(N[(N[(N[(N[(y + 0.0007936500793651), $MachinePrecision] * z), $MachinePrecision] - 0.0027777777777778), $MachinePrecision] * z), $MachinePrecision] + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(x - 0.5\right) \cdot \log x - x\right) + 0.91893853320467\right) + \frac{\left(\left(y + 0.0007936500793651\right) \cdot z - 0.0027777777777778\right) \cdot z + 0.083333333333333}{x}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z)
:precision binary64
(+
(+ (- (* (- x 0.5) (log x)) x) 0.91893853320467)
(/
(+
(* (- (* (+ y 0.0007936500793651) z) 0.0027777777777778) z)
0.083333333333333)
x)))
double code(double x, double y, double z) {
return ((((x - 0.5) * log(x)) - x) + 0.91893853320467) + ((((((y + 0.0007936500793651) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x);
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = ((((x - 0.5d0) * log(x)) - x) + 0.91893853320467d0) + ((((((y + 0.0007936500793651d0) * z) - 0.0027777777777778d0) * z) + 0.083333333333333d0) / x)
end function
public static double code(double x, double y, double z) {
return ((((x - 0.5) * Math.log(x)) - x) + 0.91893853320467) + ((((((y + 0.0007936500793651) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x);
}
def code(x, y, z): return ((((x - 0.5) * math.log(x)) - x) + 0.91893853320467) + ((((((y + 0.0007936500793651) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x)
function code(x, y, z) return Float64(Float64(Float64(Float64(Float64(x - 0.5) * log(x)) - x) + 0.91893853320467) + Float64(Float64(Float64(Float64(Float64(Float64(y + 0.0007936500793651) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x)) end
function tmp = code(x, y, z) tmp = ((((x - 0.5) * log(x)) - x) + 0.91893853320467) + ((((((y + 0.0007936500793651) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x); end
code[x_, y_, z_] := N[(N[(N[(N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision]), $MachinePrecision] - x), $MachinePrecision] + 0.91893853320467), $MachinePrecision] + N[(N[(N[(N[(N[(N[(y + 0.0007936500793651), $MachinePrecision] * z), $MachinePrecision] - 0.0027777777777778), $MachinePrecision] * z), $MachinePrecision] + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(x - 0.5\right) \cdot \log x - x\right) + 0.91893853320467\right) + \frac{\left(\left(y + 0.0007936500793651\right) \cdot z - 0.0027777777777778\right) \cdot z + 0.083333333333333}{x}
\end{array}
(FPCore (x y z)
:precision binary64
(if (<= x 4.4e+23)
(fma
(* (- 1.0 (/ 0.5 x)) x)
(log x)
(+
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x)
(- 0.91893853320467 x)))
(fma
(- x 0.5)
(log x)
(+
(fma
(/ (fma 0.0007936500793651 z -0.0027777777777778) x)
z
(fma (* (/ y x) z) z (/ 0.083333333333333 x)))
(- 0.91893853320467 x)))))
double code(double x, double y, double z) {
double tmp;
if (x <= 4.4e+23) {
tmp = fma(((1.0 - (0.5 / x)) * x), log(x), ((fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + (0.91893853320467 - x)));
} else {
tmp = fma((x - 0.5), log(x), (fma((fma(0.0007936500793651, z, -0.0027777777777778) / x), z, fma(((y / x) * z), z, (0.083333333333333 / x))) + (0.91893853320467 - x)));
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 4.4e+23) tmp = fma(Float64(Float64(1.0 - Float64(0.5 / x)) * x), log(x), Float64(Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + Float64(0.91893853320467 - x))); else tmp = fma(Float64(x - 0.5), log(x), Float64(fma(Float64(fma(0.0007936500793651, z, -0.0027777777777778) / x), z, fma(Float64(Float64(y / x) * z), z, Float64(0.083333333333333 / x))) + Float64(0.91893853320467 - x))); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 4.4e+23], N[(N[(N[(1.0 - N[(0.5 / x), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(0.0007936500793651 * z + -0.0027777777777778), $MachinePrecision] / x), $MachinePrecision] * z + N[(N[(N[(y / x), $MachinePrecision] * z), $MachinePrecision] * z + N[(0.083333333333333 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 4.4 \cdot 10^{+23}:\\
\;\;\;\;\mathsf{fma}\left(\left(1 - \frac{0.5}{x}\right) \cdot x, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x} + \left(0.91893853320467 - x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \mathsf{fma}\left(\frac{\mathsf{fma}\left(0.0007936500793651, z, -0.0027777777777778\right)}{x}, z, \mathsf{fma}\left(\frac{y}{x} \cdot z, z, \frac{0.083333333333333}{x}\right)\right) + \left(0.91893853320467 - x\right)\right)\\
\end{array}
\end{array}
if x < 4.40000000000000017e23Initial program 99.7%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6499.7
Applied rewrites99.7%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6499.7
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6499.7
lift-/.f64N/A
Applied rewrites99.7%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6499.7
Applied rewrites99.7%
if 4.40000000000000017e23 < x Initial program 86.5%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6486.5
Applied rewrites86.5%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6486.5
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6486.5
lift-/.f64N/A
Applied rewrites86.5%
Taylor expanded in y around 0
associate-+r+N/A
+-commutativeN/A
associate-/l*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
sub-negN/A
metadata-evalN/A
lower-fma.f64N/A
+-commutativeN/A
associate-*l/N/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-/.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6499.7
Applied rewrites99.7%
Final simplification99.7%
(FPCore (x y z)
:precision binary64
(let* ((t_0
(+
(/
(+
(* (- (* (+ 0.0007936500793651 y) z) 0.0027777777777778) z)
0.083333333333333)
x)
(+ (- (* (- x 0.5) (log x)) x) 0.91893853320467))))
(if (<= t_0 -1e+282)
(* (* (/ y x) z) z)
(if (<= t_0 5e+305)
(fma
(- x 0.5)
(log x)
(+
(/
(fma
(fma 0.0007936500793651 z -0.0027777777777778)
z
0.083333333333333)
x)
(- 0.91893853320467 x)))
(*
(* (/ z x) z)
(- (+ 0.0007936500793651 y) (/ 0.0027777777777778 z)))))))
double code(double x, double y, double z) {
double t_0 = ((((((0.0007936500793651 + y) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x) + ((((x - 0.5) * log(x)) - x) + 0.91893853320467);
double tmp;
if (t_0 <= -1e+282) {
tmp = ((y / x) * z) * z;
} else if (t_0 <= 5e+305) {
tmp = fma((x - 0.5), log(x), ((fma(fma(0.0007936500793651, z, -0.0027777777777778), z, 0.083333333333333) / x) + (0.91893853320467 - x)));
} else {
tmp = ((z / x) * z) * ((0.0007936500793651 + y) - (0.0027777777777778 / z));
}
return tmp;
}
function code(x, y, z) t_0 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.0007936500793651 + y) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x) + Float64(Float64(Float64(Float64(x - 0.5) * log(x)) - x) + 0.91893853320467)) tmp = 0.0 if (t_0 <= -1e+282) tmp = Float64(Float64(Float64(y / x) * z) * z); elseif (t_0 <= 5e+305) tmp = fma(Float64(x - 0.5), log(x), Float64(Float64(fma(fma(0.0007936500793651, z, -0.0027777777777778), z, 0.083333333333333) / x) + Float64(0.91893853320467 - x))); else tmp = Float64(Float64(Float64(z / x) * z) * Float64(Float64(0.0007936500793651 + y) - Float64(0.0027777777777778 / z))); end return tmp end
code[x_, y_, z_] := Block[{t$95$0 = N[(N[(N[(N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z), $MachinePrecision] - 0.0027777777777778), $MachinePrecision] * z), $MachinePrecision] + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(N[(N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision]), $MachinePrecision] - x), $MachinePrecision] + 0.91893853320467), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -1e+282], N[(N[(N[(y / x), $MachinePrecision] * z), $MachinePrecision] * z), $MachinePrecision], If[LessEqual[t$95$0, 5e+305], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(0.0007936500793651 * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(z / x), $MachinePrecision] * z), $MachinePrecision] * N[(N[(0.0007936500793651 + y), $MachinePrecision] - N[(0.0027777777777778 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\left(\left(0.0007936500793651 + y\right) \cdot z - 0.0027777777777778\right) \cdot z + 0.083333333333333}{x} + \left(\left(\left(x - 0.5\right) \cdot \log x - x\right) + 0.91893853320467\right)\\
\mathbf{if}\;t\_0 \leq -1 \cdot 10^{+282}:\\
\;\;\;\;\left(\frac{y}{x} \cdot z\right) \cdot z\\
\mathbf{elif}\;t\_0 \leq 5 \cdot 10^{+305}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x} + \left(0.91893853320467 - x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{z}{x} \cdot z\right) \cdot \left(\left(0.0007936500793651 + y\right) - \frac{0.0027777777777778}{z}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (*.f64 (-.f64 x #s(literal 1/2 binary64)) (log.f64 x)) x) #s(literal 91893853320467/100000000000000 binary64)) (/.f64 (+.f64 (*.f64 (-.f64 (*.f64 (+.f64 y #s(literal 7936500793651/10000000000000000 binary64)) z) #s(literal 13888888888889/5000000000000000 binary64)) z) #s(literal 83333333333333/1000000000000000 binary64)) x)) < -1.00000000000000003e282Initial program 92.3%
Taylor expanded in y around inf
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f6492.3
Applied rewrites92.3%
Applied rewrites94.7%
if -1.00000000000000003e282 < (+.f64 (+.f64 (-.f64 (*.f64 (-.f64 x #s(literal 1/2 binary64)) (log.f64 x)) x) #s(literal 91893853320467/100000000000000 binary64)) (/.f64 (+.f64 (*.f64 (-.f64 (*.f64 (+.f64 y #s(literal 7936500793651/10000000000000000 binary64)) z) #s(literal 13888888888889/5000000000000000 binary64)) z) #s(literal 83333333333333/1000000000000000 binary64)) x)) < 5.00000000000000009e305Initial program 99.4%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6499.4
Applied rewrites99.5%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6499.5
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6499.5
lift-/.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
sub-negN/A
metadata-evalN/A
lower-fma.f6495.6
Applied rewrites95.6%
if 5.00000000000000009e305 < (+.f64 (+.f64 (-.f64 (*.f64 (-.f64 x #s(literal 1/2 binary64)) (log.f64 x)) x) #s(literal 91893853320467/100000000000000 binary64)) (/.f64 (+.f64 (*.f64 (-.f64 (*.f64 (+.f64 y #s(literal 7936500793651/10000000000000000 binary64)) z) #s(literal 13888888888889/5000000000000000 binary64)) z) #s(literal 83333333333333/1000000000000000 binary64)) x)) Initial program 82.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
associate-*r/N/A
metadata-evalN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
*-commutativeN/A
associate-/r*N/A
metadata-evalN/A
associate-*r/N/A
lower-/.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
unpow2N/A
lower-*.f6481.6
Applied rewrites81.6%
Taylor expanded in z around 0
Applied rewrites21.5%
Taylor expanded in x around 0
Applied rewrites86.7%
Final simplification92.9%
(FPCore (x y z)
:precision binary64
(if (<=
(+
(/
(+
(* (- (* (+ 0.0007936500793651 y) z) 0.0027777777777778) z)
0.083333333333333)
x)
(+ (- (* (- x 0.5) (log x)) x) 0.91893853320467))
2e+307)
(fma
(- x 0.5)
(log x)
(+
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x)
(- 0.91893853320467 x)))
(fma (- x 0.5) (log x) (* (* (+ (/ 0.0007936500793651 x) (/ y x)) z) z))))
double code(double x, double y, double z) {
double tmp;
if ((((((((0.0007936500793651 + y) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x) + ((((x - 0.5) * log(x)) - x) + 0.91893853320467)) <= 2e+307) {
tmp = fma((x - 0.5), log(x), ((fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + (0.91893853320467 - x)));
} else {
tmp = fma((x - 0.5), log(x), ((((0.0007936500793651 / x) + (y / x)) * z) * z));
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.0007936500793651 + y) * z) - 0.0027777777777778) * z) + 0.083333333333333) / x) + Float64(Float64(Float64(Float64(x - 0.5) * log(x)) - x) + 0.91893853320467)) <= 2e+307) tmp = fma(Float64(x - 0.5), log(x), Float64(Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + Float64(0.91893853320467 - x))); else tmp = fma(Float64(x - 0.5), log(x), Float64(Float64(Float64(Float64(0.0007936500793651 / x) + Float64(y / x)) * z) * z)); end return tmp end
code[x_, y_, z_] := If[LessEqual[N[(N[(N[(N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z), $MachinePrecision] - 0.0027777777777778), $MachinePrecision] * z), $MachinePrecision] + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(N[(N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision]), $MachinePrecision] - x), $MachinePrecision] + 0.91893853320467), $MachinePrecision]), $MachinePrecision], 2e+307], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(0.0007936500793651 / x), $MachinePrecision] + N[(y / x), $MachinePrecision]), $MachinePrecision] * z), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\frac{\left(\left(0.0007936500793651 + y\right) \cdot z - 0.0027777777777778\right) \cdot z + 0.083333333333333}{x} + \left(\left(\left(x - 0.5\right) \cdot \log x - x\right) + 0.91893853320467\right) \leq 2 \cdot 10^{+307}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x} + \left(0.91893853320467 - x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \left(\left(\frac{0.0007936500793651}{x} + \frac{y}{x}\right) \cdot z\right) \cdot z\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (*.f64 (-.f64 x #s(literal 1/2 binary64)) (log.f64 x)) x) #s(literal 91893853320467/100000000000000 binary64)) (/.f64 (+.f64 (*.f64 (-.f64 (*.f64 (+.f64 y #s(literal 7936500793651/10000000000000000 binary64)) z) #s(literal 13888888888889/5000000000000000 binary64)) z) #s(literal 83333333333333/1000000000000000 binary64)) x)) < 1.99999999999999997e307Initial program 97.9%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6497.9
Applied rewrites98.0%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6498.0
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6498.0
lift-/.f64N/A
Applied rewrites98.0%
if 1.99999999999999997e307 < (+.f64 (+.f64 (-.f64 (*.f64 (-.f64 x #s(literal 1/2 binary64)) (log.f64 x)) x) #s(literal 91893853320467/100000000000000 binary64)) (/.f64 (+.f64 (*.f64 (-.f64 (*.f64 (+.f64 y #s(literal 7936500793651/10000000000000000 binary64)) z) #s(literal 13888888888889/5000000000000000 binary64)) z) #s(literal 83333333333333/1000000000000000 binary64)) x)) Initial program 82.6%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6482.6
Applied rewrites82.6%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6482.6
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6482.6
lift-/.f64N/A
Applied rewrites82.6%
Taylor expanded in z around inf
*-commutativeN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6492.2
Applied rewrites92.2%
Final simplification96.3%
(FPCore (x y z)
:precision binary64
(if (<= x 5000000000000.0)
(fma
(/ 1.0 (/ (+ 0.5 x) (fma x x -0.25)))
(log x)
(+
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x)
(- 0.91893853320467 x)))
(+
(* (* (+ (/ 0.0007936500793651 x) (/ y x)) z) z)
(+ (- (* (- x 0.5) (log x)) x) 0.91893853320467))))
double code(double x, double y, double z) {
double tmp;
if (x <= 5000000000000.0) {
tmp = fma((1.0 / ((0.5 + x) / fma(x, x, -0.25))), log(x), ((fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + (0.91893853320467 - x)));
} else {
tmp = ((((0.0007936500793651 / x) + (y / x)) * z) * z) + ((((x - 0.5) * log(x)) - x) + 0.91893853320467);
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 5000000000000.0) tmp = fma(Float64(1.0 / Float64(Float64(0.5 + x) / fma(x, x, -0.25))), log(x), Float64(Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + Float64(0.91893853320467 - x))); else tmp = Float64(Float64(Float64(Float64(Float64(0.0007936500793651 / x) + Float64(y / x)) * z) * z) + Float64(Float64(Float64(Float64(x - 0.5) * log(x)) - x) + 0.91893853320467)); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 5000000000000.0], N[(N[(1.0 / N[(N[(0.5 + x), $MachinePrecision] / N[(x * x + -0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.0007936500793651 / x), $MachinePrecision] + N[(y / x), $MachinePrecision]), $MachinePrecision] * z), $MachinePrecision] * z), $MachinePrecision] + N[(N[(N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision]), $MachinePrecision] - x), $MachinePrecision] + 0.91893853320467), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 5000000000000:\\
\;\;\;\;\mathsf{fma}\left(\frac{1}{\frac{0.5 + x}{\mathsf{fma}\left(x, x, -0.25\right)}}, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x} + \left(0.91893853320467 - x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{0.0007936500793651}{x} + \frac{y}{x}\right) \cdot z\right) \cdot z + \left(\left(\left(x - 0.5\right) \cdot \log x - x\right) + 0.91893853320467\right)\\
\end{array}
\end{array}
if x < 5e12Initial program 99.7%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6499.7
Applied rewrites99.7%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6499.7
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6499.7
lift-/.f64N/A
Applied rewrites99.7%
lift--.f64N/A
flip--N/A
clear-numN/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
lower-fma.f64N/A
metadata-evalN/A
metadata-eval99.7
Applied rewrites99.7%
if 5e12 < x Initial program 87.0%
Taylor expanded in z around inf
Applied rewrites78.2%
Taylor expanded in z around inf
Applied rewrites99.6%
Final simplification99.7%
(FPCore (x y z)
:precision binary64
(if (<= x 1.6e+16)
(fma
(* (- 1.0 (/ 0.5 x)) x)
(log x)
(+
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x)
(- 0.91893853320467 x)))
(+
(* (* (+ (/ 0.0007936500793651 x) (/ y x)) z) z)
(+ (- (* (- x 0.5) (log x)) x) 0.91893853320467))))
double code(double x, double y, double z) {
double tmp;
if (x <= 1.6e+16) {
tmp = fma(((1.0 - (0.5 / x)) * x), log(x), ((fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + (0.91893853320467 - x)));
} else {
tmp = ((((0.0007936500793651 / x) + (y / x)) * z) * z) + ((((x - 0.5) * log(x)) - x) + 0.91893853320467);
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 1.6e+16) tmp = fma(Float64(Float64(1.0 - Float64(0.5 / x)) * x), log(x), Float64(Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + Float64(0.91893853320467 - x))); else tmp = Float64(Float64(Float64(Float64(Float64(0.0007936500793651 / x) + Float64(y / x)) * z) * z) + Float64(Float64(Float64(Float64(x - 0.5) * log(x)) - x) + 0.91893853320467)); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 1.6e+16], N[(N[(N[(1.0 - N[(0.5 / x), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.0007936500793651 / x), $MachinePrecision] + N[(y / x), $MachinePrecision]), $MachinePrecision] * z), $MachinePrecision] * z), $MachinePrecision] + N[(N[(N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision]), $MachinePrecision] - x), $MachinePrecision] + 0.91893853320467), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 1.6 \cdot 10^{+16}:\\
\;\;\;\;\mathsf{fma}\left(\left(1 - \frac{0.5}{x}\right) \cdot x, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x} + \left(0.91893853320467 - x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{0.0007936500793651}{x} + \frac{y}{x}\right) \cdot z\right) \cdot z + \left(\left(\left(x - 0.5\right) \cdot \log x - x\right) + 0.91893853320467\right)\\
\end{array}
\end{array}
if x < 1.6e16Initial program 99.7%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6499.7
Applied rewrites99.7%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6499.7
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6499.7
lift-/.f64N/A
Applied rewrites99.7%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6499.7
Applied rewrites99.7%
if 1.6e16 < x Initial program 86.8%
Taylor expanded in z around inf
Applied rewrites78.6%
Taylor expanded in z around inf
Applied rewrites99.6%
Final simplification99.7%
(FPCore (x y z)
:precision binary64
(if (<= x 8000000000000.0)
(fma
(- x 0.5)
(log x)
(+
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x)
(- 0.91893853320467 x)))
(+
(* (* (+ (/ 0.0007936500793651 x) (/ y x)) z) z)
(+ (- (* (- x 0.5) (log x)) x) 0.91893853320467))))
double code(double x, double y, double z) {
double tmp;
if (x <= 8000000000000.0) {
tmp = fma((x - 0.5), log(x), ((fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + (0.91893853320467 - x)));
} else {
tmp = ((((0.0007936500793651 / x) + (y / x)) * z) * z) + ((((x - 0.5) * log(x)) - x) + 0.91893853320467);
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 8000000000000.0) tmp = fma(Float64(x - 0.5), log(x), Float64(Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + Float64(0.91893853320467 - x))); else tmp = Float64(Float64(Float64(Float64(Float64(0.0007936500793651 / x) + Float64(y / x)) * z) * z) + Float64(Float64(Float64(Float64(x - 0.5) * log(x)) - x) + 0.91893853320467)); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 8000000000000.0], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.0007936500793651 / x), $MachinePrecision] + N[(y / x), $MachinePrecision]), $MachinePrecision] * z), $MachinePrecision] * z), $MachinePrecision] + N[(N[(N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision]), $MachinePrecision] - x), $MachinePrecision] + 0.91893853320467), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 8000000000000:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x} + \left(0.91893853320467 - x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{0.0007936500793651}{x} + \frac{y}{x}\right) \cdot z\right) \cdot z + \left(\left(\left(x - 0.5\right) \cdot \log x - x\right) + 0.91893853320467\right)\\
\end{array}
\end{array}
if x < 8e12Initial program 99.7%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6499.7
Applied rewrites99.7%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6499.7
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6499.7
lift-/.f64N/A
Applied rewrites99.7%
if 8e12 < x Initial program 87.0%
Taylor expanded in z around inf
Applied rewrites78.2%
Taylor expanded in z around inf
Applied rewrites99.6%
Final simplification99.7%
(FPCore (x y z)
:precision binary64
(if (<= x 5.8e+175)
(fma
(- x 0.5)
(log x)
(+
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x)
(- 0.91893853320467 x)))
(fma
(- x 0.5)
(log x)
(-
(fma
(/ (fma 0.0007936500793651 z -0.0027777777777778) x)
z
(+ (/ 0.083333333333333 x) 0.91893853320467))
x))))
double code(double x, double y, double z) {
double tmp;
if (x <= 5.8e+175) {
tmp = fma((x - 0.5), log(x), ((fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + (0.91893853320467 - x)));
} else {
tmp = fma((x - 0.5), log(x), (fma((fma(0.0007936500793651, z, -0.0027777777777778) / x), z, ((0.083333333333333 / x) + 0.91893853320467)) - x));
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 5.8e+175) tmp = fma(Float64(x - 0.5), log(x), Float64(Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + Float64(0.91893853320467 - x))); else tmp = fma(Float64(x - 0.5), log(x), Float64(fma(Float64(fma(0.0007936500793651, z, -0.0027777777777778) / x), z, Float64(Float64(0.083333333333333 / x) + 0.91893853320467)) - x)); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 5.8e+175], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(0.0007936500793651 * z + -0.0027777777777778), $MachinePrecision] / x), $MachinePrecision] * z + N[(N[(0.083333333333333 / x), $MachinePrecision] + 0.91893853320467), $MachinePrecision]), $MachinePrecision] - x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 5.8 \cdot 10^{+175}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x} + \left(0.91893853320467 - x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \mathsf{fma}\left(\frac{\mathsf{fma}\left(0.0007936500793651, z, -0.0027777777777778\right)}{x}, z, \frac{0.083333333333333}{x} + 0.91893853320467\right) - x\right)\\
\end{array}
\end{array}
if x < 5.8e175Initial program 97.8%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6497.8
Applied rewrites97.8%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6497.8
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6497.8
lift-/.f64N/A
Applied rewrites97.9%
if 5.8e175 < x Initial program 78.4%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6478.4
Applied rewrites78.5%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6478.5
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6478.5
lift-/.f64N/A
Applied rewrites78.5%
Taylor expanded in y around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-/l*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
sub-negN/A
metadata-evalN/A
lower-fma.f64N/A
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6492.4
Applied rewrites92.4%
Final simplification96.6%
(FPCore (x y z)
:precision binary64
(if (<= x 5.8e+175)
(fma
(- x 0.5)
(log x)
(+
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x)
(- 0.91893853320467 x)))
(-
(+
(fma
(/ (fma 0.0007936500793651 z -0.0027777777777778) x)
z
0.91893853320467)
(fma (- x 0.5) (log x) (/ 0.083333333333333 x)))
x)))
double code(double x, double y, double z) {
double tmp;
if (x <= 5.8e+175) {
tmp = fma((x - 0.5), log(x), ((fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + (0.91893853320467 - x)));
} else {
tmp = (fma((fma(0.0007936500793651, z, -0.0027777777777778) / x), z, 0.91893853320467) + fma((x - 0.5), log(x), (0.083333333333333 / x))) - x;
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 5.8e+175) tmp = fma(Float64(x - 0.5), log(x), Float64(Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + Float64(0.91893853320467 - x))); else tmp = Float64(Float64(fma(Float64(fma(0.0007936500793651, z, -0.0027777777777778) / x), z, 0.91893853320467) + fma(Float64(x - 0.5), log(x), Float64(0.083333333333333 / x))) - x); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 5.8e+175], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.0007936500793651 * z + -0.0027777777777778), $MachinePrecision] / x), $MachinePrecision] * z + 0.91893853320467), $MachinePrecision] + N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(0.083333333333333 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - x), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 5.8 \cdot 10^{+175}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x} + \left(0.91893853320467 - x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.0007936500793651, z, -0.0027777777777778\right)}{x}, z, 0.91893853320467\right) + \mathsf{fma}\left(x - 0.5, \log x, \frac{0.083333333333333}{x}\right)\right) - x\\
\end{array}
\end{array}
if x < 5.8e175Initial program 97.8%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6497.8
Applied rewrites97.8%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6497.8
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6497.8
lift-/.f64N/A
Applied rewrites97.9%
if 5.8e175 < x Initial program 78.4%
Taylor expanded in y around 0
lower--.f64N/A
Applied rewrites92.3%
Final simplification96.6%
(FPCore (x y z)
:precision binary64
(if (<= x 60000.0)
(fma
(- x 0.5)
(log x)
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x))
(if (<= x 8e+241)
(fma (- x 0.5) (log x) (+ (/ (* (* z z) y) x) (- 0.91893853320467 x)))
(fma
(- x 0.5)
(log x)
(- (+ (/ 0.083333333333333 x) 0.91893853320467) x)))))
double code(double x, double y, double z) {
double tmp;
if (x <= 60000.0) {
tmp = fma((x - 0.5), log(x), (fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x));
} else if (x <= 8e+241) {
tmp = fma((x - 0.5), log(x), ((((z * z) * y) / x) + (0.91893853320467 - x)));
} else {
tmp = fma((x - 0.5), log(x), (((0.083333333333333 / x) + 0.91893853320467) - x));
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 60000.0) tmp = fma(Float64(x - 0.5), log(x), Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x)); elseif (x <= 8e+241) tmp = fma(Float64(x - 0.5), log(x), Float64(Float64(Float64(Float64(z * z) * y) / x) + Float64(0.91893853320467 - x))); else tmp = fma(Float64(x - 0.5), log(x), Float64(Float64(Float64(0.083333333333333 / x) + 0.91893853320467) - x)); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 60000.0], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 8e+241], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(z * z), $MachinePrecision] * y), $MachinePrecision] / x), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(0.083333333333333 / x), $MachinePrecision] + 0.91893853320467), $MachinePrecision] - x), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 60000:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x}\right)\\
\mathbf{elif}\;x \leq 8 \cdot 10^{+241}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \frac{\left(z \cdot z\right) \cdot y}{x} + \left(0.91893853320467 - x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \left(\frac{0.083333333333333}{x} + 0.91893853320467\right) - x\right)\\
\end{array}
\end{array}
if x < 6e4Initial program 99.7%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6499.7
Applied rewrites99.7%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6499.7
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6499.7
lift-/.f64N/A
Applied rewrites99.7%
Taylor expanded in x around 0
lower-/.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
lower-+.f6498.6
Applied rewrites98.6%
if 6e4 < x < 8.0000000000000004e241Initial program 93.9%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6493.9
Applied rewrites93.9%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6493.9
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6493.9
lift-/.f64N/A
Applied rewrites93.9%
Taylor expanded in y around inf
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f6487.8
Applied rewrites87.8%
if 8.0000000000000004e241 < x Initial program 67.5%
Taylor expanded in z around 0
associate-+r+N/A
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-log.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6484.0
Applied rewrites84.0%
Final simplification92.7%
(FPCore (x y z)
:precision binary64
(if (<= x 3.5e+268)
(fma
(- x 0.5)
(log x)
(+
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x)
(- 0.91893853320467 x)))
(* (- (log x) 1.0) x)))
double code(double x, double y, double z) {
double tmp;
if (x <= 3.5e+268) {
tmp = fma((x - 0.5), log(x), ((fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + (0.91893853320467 - x)));
} else {
tmp = (log(x) - 1.0) * x;
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 3.5e+268) tmp = fma(Float64(x - 0.5), log(x), Float64(Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) + Float64(0.91893853320467 - x))); else tmp = Float64(Float64(log(x) - 1.0) * x); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 3.5e+268], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Log[x], $MachinePrecision] - 1.0), $MachinePrecision] * x), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 3.5 \cdot 10^{+268}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x} + \left(0.91893853320467 - x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\log x - 1\right) \cdot x\\
\end{array}
\end{array}
if x < 3.49999999999999972e268Initial program 96.1%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6496.1
Applied rewrites96.1%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6496.1
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6496.1
lift-/.f64N/A
Applied rewrites96.2%
if 3.49999999999999972e268 < x Initial program 65.5%
Taylor expanded in x around inf
*-commutativeN/A
mul-1-negN/A
log-recN/A
remove-double-negN/A
lower-*.f64N/A
lower--.f64N/A
lower-log.f6490.0
Applied rewrites90.0%
Final simplification95.6%
(FPCore (x y z)
:precision binary64
(if (<= x 5.4e+45)
(fma
(- x 0.5)
(log x)
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x))
(* (- (log x) 1.0) x)))
double code(double x, double y, double z) {
double tmp;
if (x <= 5.4e+45) {
tmp = fma((x - 0.5), log(x), (fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x));
} else {
tmp = (log(x) - 1.0) * x;
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 5.4e+45) tmp = fma(Float64(x - 0.5), log(x), Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x)); else tmp = Float64(Float64(log(x) - 1.0) * x); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 5.4e+45], N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision] + N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], N[(N[(N[Log[x], $MachinePrecision] - 1.0), $MachinePrecision] * x), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 5.4 \cdot 10^{+45}:\\
\;\;\;\;\mathsf{fma}\left(x - 0.5, \log x, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\log x - 1\right) \cdot x\\
\end{array}
\end{array}
if x < 5.39999999999999968e45Initial program 99.1%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
div-invN/A
lower-fma.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lower-fma.f64N/A
lift--.f64N/A
sub-negN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-evalN/A
inv-powN/A
lower-pow.f6499.1
Applied rewrites99.1%
lift-fma.f64N/A
+-commutativeN/A
lift-fma.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow-1N/A
associate-/r/N/A
lift-/.f64N/A
lift-/.f64N/A
associate-+l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-+.f6499.1
lift-fma.f64N/A
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
lower--.f6499.1
lift-/.f64N/A
Applied rewrites99.1%
Taylor expanded in x around 0
lower-/.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
lower-+.f6495.2
Applied rewrites95.2%
if 5.39999999999999968e45 < x Initial program 86.0%
Taylor expanded in x around inf
*-commutativeN/A
mul-1-negN/A
log-recN/A
remove-double-negN/A
lower-*.f64N/A
lower--.f64N/A
lower-log.f6475.9
Applied rewrites75.9%
(FPCore (x y z)
:precision binary64
(if (<= x 3.8e+45)
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x)
(* (- (log x) 1.0) x)))
double code(double x, double y, double z) {
double tmp;
if (x <= 3.8e+45) {
tmp = fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x;
} else {
tmp = (log(x) - 1.0) * x;
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 3.8e+45) tmp = Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x); else tmp = Float64(Float64(log(x) - 1.0) * x); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 3.8e+45], N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision], N[(N[(N[Log[x], $MachinePrecision] - 1.0), $MachinePrecision] * x), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 3.8 \cdot 10^{+45}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\log x - 1\right) \cdot x\\
\end{array}
\end{array}
if x < 3.8000000000000002e45Initial program 99.1%
Taylor expanded in x around 0
lower-/.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
lower-+.f6494.2
Applied rewrites94.2%
if 3.8000000000000002e45 < x Initial program 86.0%
Taylor expanded in x around inf
*-commutativeN/A
mul-1-negN/A
log-recN/A
remove-double-negN/A
lower-*.f64N/A
lower--.f64N/A
lower-log.f6475.9
Applied rewrites75.9%
(FPCore (x y z)
:precision binary64
(if (<= x 1.4e+36)
(/
(fma
(fma (+ 0.0007936500793651 y) z -0.0027777777777778)
z
0.083333333333333)
x)
(* (* (+ (/ 0.0007936500793651 x) (/ y x)) z) z)))
double code(double x, double y, double z) {
double tmp;
if (x <= 1.4e+36) {
tmp = fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x;
} else {
tmp = (((0.0007936500793651 / x) + (y / x)) * z) * z;
}
return tmp;
}
function code(x, y, z) tmp = 0.0 if (x <= 1.4e+36) tmp = Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x); else tmp = Float64(Float64(Float64(Float64(0.0007936500793651 / x) + Float64(y / x)) * z) * z); end return tmp end
code[x_, y_, z_] := If[LessEqual[x, 1.4e+36], N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision], N[(N[(N[(N[(0.0007936500793651 / x), $MachinePrecision] + N[(y / x), $MachinePrecision]), $MachinePrecision] * z), $MachinePrecision] * z), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 1.4 \cdot 10^{+36}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{0.0007936500793651}{x} + \frac{y}{x}\right) \cdot z\right) \cdot z\\
\end{array}
\end{array}
if x < 1.4e36Initial program 99.7%
Taylor expanded in x around 0
lower-/.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
lower-+.f6496.6
Applied rewrites96.6%
if 1.4e36 < x Initial program 86.1%
Taylor expanded in z around inf
*-commutativeN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6427.9
Applied rewrites27.9%
Final simplification65.2%
(FPCore (x y z) :precision binary64 (/ (fma (fma (+ 0.0007936500793651 y) z -0.0027777777777778) z 0.083333333333333) x))
double code(double x, double y, double z) {
return fma(fma((0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x;
}
function code(x, y, z) return Float64(fma(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778), z, 0.083333333333333) / x) end
code[x_, y_, z_] := N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z + 0.083333333333333), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right), z, 0.083333333333333\right)}{x}
\end{array}
Initial program 93.5%
Taylor expanded in x around 0
lower-/.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
lower-+.f6463.5
Applied rewrites63.5%
(FPCore (x y z) :precision binary64 (/ (* (fma (+ 0.0007936500793651 y) z -0.0027777777777778) z) x))
double code(double x, double y, double z) {
return (fma((0.0007936500793651 + y), z, -0.0027777777777778) * z) / x;
}
function code(x, y, z) return Float64(Float64(fma(Float64(0.0007936500793651 + y), z, -0.0027777777777778) * z) / x) end
code[x_, y_, z_] := N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z + -0.0027777777777778), $MachinePrecision] * z), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.0007936500793651 + y, z, -0.0027777777777778\right) \cdot z}{x}
\end{array}
Initial program 93.5%
Taylor expanded in x around 0
Applied rewrites79.8%
Taylor expanded in z around inf
Applied rewrites45.8%
Taylor expanded in z around 0
Applied rewrites46.3%
(FPCore (x y z) :precision binary64 (/ (* (* (+ 0.0007936500793651 y) z) z) x))
double code(double x, double y, double z) {
return (((0.0007936500793651 + y) * z) * z) / x;
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = (((0.0007936500793651d0 + y) * z) * z) / x
end function
public static double code(double x, double y, double z) {
return (((0.0007936500793651 + y) * z) * z) / x;
}
def code(x, y, z): return (((0.0007936500793651 + y) * z) * z) / x
function code(x, y, z) return Float64(Float64(Float64(Float64(0.0007936500793651 + y) * z) * z) / x) end
function tmp = code(x, y, z) tmp = (((0.0007936500793651 + y) * z) * z) / x; end
code[x_, y_, z_] := N[(N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * z), $MachinePrecision] * z), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(\left(0.0007936500793651 + y\right) \cdot z\right) \cdot z}{x}
\end{array}
Initial program 93.5%
Taylor expanded in x around 0
Applied rewrites79.8%
Taylor expanded in z around inf
Applied rewrites46.0%
(FPCore (x y z) :precision binary64 (/ (* (+ 0.0007936500793651 y) (* z z)) x))
double code(double x, double y, double z) {
return ((0.0007936500793651 + y) * (z * z)) / x;
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = ((0.0007936500793651d0 + y) * (z * z)) / x
end function
public static double code(double x, double y, double z) {
return ((0.0007936500793651 + y) * (z * z)) / x;
}
def code(x, y, z): return ((0.0007936500793651 + y) * (z * z)) / x
function code(x, y, z) return Float64(Float64(Float64(0.0007936500793651 + y) * Float64(z * z)) / x) end
function tmp = code(x, y, z) tmp = ((0.0007936500793651 + y) * (z * z)) / x; end
code[x_, y_, z_] := N[(N[(N[(0.0007936500793651 + y), $MachinePrecision] * N[(z * z), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(0.0007936500793651 + y\right) \cdot \left(z \cdot z\right)}{x}
\end{array}
Initial program 93.5%
Taylor expanded in x around 0
Applied rewrites79.8%
Taylor expanded in z around inf
Applied rewrites45.8%
Taylor expanded in z around inf
Applied rewrites45.6%
(FPCore (x y z) :precision binary64 (* (/ (* z z) x) y))
double code(double x, double y, double z) {
return ((z * z) / x) * y;
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = ((z * z) / x) * y
end function
public static double code(double x, double y, double z) {
return ((z * z) / x) * y;
}
def code(x, y, z): return ((z * z) / x) * y
function code(x, y, z) return Float64(Float64(Float64(z * z) / x) * y) end
function tmp = code(x, y, z) tmp = ((z * z) / x) * y; end
code[x_, y_, z_] := N[(N[(N[(z * z), $MachinePrecision] / x), $MachinePrecision] * y), $MachinePrecision]
\begin{array}{l}
\\
\frac{z \cdot z}{x} \cdot y
\end{array}
Initial program 93.5%
Taylor expanded in y around inf
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f6435.1
Applied rewrites35.1%
Applied rewrites36.2%
Final simplification36.2%
(FPCore (x y z) :precision binary64 (* (* (/ z x) z) y))
double code(double x, double y, double z) {
return ((z / x) * z) * y;
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = ((z / x) * z) * y
end function
public static double code(double x, double y, double z) {
return ((z / x) * z) * y;
}
def code(x, y, z): return ((z / x) * z) * y
function code(x, y, z) return Float64(Float64(Float64(z / x) * z) * y) end
function tmp = code(x, y, z) tmp = ((z / x) * z) * y; end
code[x_, y_, z_] := N[(N[(N[(z / x), $MachinePrecision] * z), $MachinePrecision] * y), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{z}{x} \cdot z\right) \cdot y
\end{array}
Initial program 93.5%
Taylor expanded in y around inf
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f6435.1
Applied rewrites35.1%
Applied rewrites36.2%
Applied rewrites36.1%
Final simplification36.1%
(FPCore (x y z) :precision binary64 (* (/ z x) -0.0027777777777778))
double code(double x, double y, double z) {
return (z / x) * -0.0027777777777778;
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = (z / x) * (-0.0027777777777778d0)
end function
public static double code(double x, double y, double z) {
return (z / x) * -0.0027777777777778;
}
def code(x, y, z): return (z / x) * -0.0027777777777778
function code(x, y, z) return Float64(Float64(z / x) * -0.0027777777777778) end
function tmp = code(x, y, z) tmp = (z / x) * -0.0027777777777778; end
code[x_, y_, z_] := N[(N[(z / x), $MachinePrecision] * -0.0027777777777778), $MachinePrecision]
\begin{array}{l}
\\
\frac{z}{x} \cdot -0.0027777777777778
\end{array}
Initial program 93.5%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
associate-*r/N/A
metadata-evalN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
*-commutativeN/A
associate-/r*N/A
metadata-evalN/A
associate-*r/N/A
lower-/.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
unpow2N/A
lower-*.f6445.3
Applied rewrites45.3%
Taylor expanded in z around 0
Applied rewrites9.9%
(FPCore (x y z) :precision binary64 (* (/ -0.0027777777777778 x) z))
double code(double x, double y, double z) {
return (-0.0027777777777778 / x) * z;
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = ((-0.0027777777777778d0) / x) * z
end function
public static double code(double x, double y, double z) {
return (-0.0027777777777778 / x) * z;
}
def code(x, y, z): return (-0.0027777777777778 / x) * z
function code(x, y, z) return Float64(Float64(-0.0027777777777778 / x) * z) end
function tmp = code(x, y, z) tmp = (-0.0027777777777778 / x) * z; end
code[x_, y_, z_] := N[(N[(-0.0027777777777778 / x), $MachinePrecision] * z), $MachinePrecision]
\begin{array}{l}
\\
\frac{-0.0027777777777778}{x} \cdot z
\end{array}
Initial program 93.5%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
associate-*r/N/A
metadata-evalN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
*-commutativeN/A
associate-/r*N/A
metadata-evalN/A
associate-*r/N/A
lower-/.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
unpow2N/A
lower-*.f6445.3
Applied rewrites45.3%
Taylor expanded in z around 0
Applied rewrites9.9%
Applied rewrites9.6%
Final simplification9.6%
(FPCore (x y z) :precision binary64 (+ (+ (+ (* (- x 0.5) (log x)) (- 0.91893853320467 x)) (/ 0.083333333333333 x)) (* (/ z x) (- (* z (+ y 0.0007936500793651)) 0.0027777777777778))))
double code(double x, double y, double z) {
return ((((x - 0.5) * log(x)) + (0.91893853320467 - x)) + (0.083333333333333 / x)) + ((z / x) * ((z * (y + 0.0007936500793651)) - 0.0027777777777778));
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = ((((x - 0.5d0) * log(x)) + (0.91893853320467d0 - x)) + (0.083333333333333d0 / x)) + ((z / x) * ((z * (y + 0.0007936500793651d0)) - 0.0027777777777778d0))
end function
public static double code(double x, double y, double z) {
return ((((x - 0.5) * Math.log(x)) + (0.91893853320467 - x)) + (0.083333333333333 / x)) + ((z / x) * ((z * (y + 0.0007936500793651)) - 0.0027777777777778));
}
def code(x, y, z): return ((((x - 0.5) * math.log(x)) + (0.91893853320467 - x)) + (0.083333333333333 / x)) + ((z / x) * ((z * (y + 0.0007936500793651)) - 0.0027777777777778))
function code(x, y, z) return Float64(Float64(Float64(Float64(Float64(x - 0.5) * log(x)) + Float64(0.91893853320467 - x)) + Float64(0.083333333333333 / x)) + Float64(Float64(z / x) * Float64(Float64(z * Float64(y + 0.0007936500793651)) - 0.0027777777777778))) end
function tmp = code(x, y, z) tmp = ((((x - 0.5) * log(x)) + (0.91893853320467 - x)) + (0.083333333333333 / x)) + ((z / x) * ((z * (y + 0.0007936500793651)) - 0.0027777777777778)); end
code[x_, y_, z_] := N[(N[(N[(N[(N[(x - 0.5), $MachinePrecision] * N[Log[x], $MachinePrecision]), $MachinePrecision] + N[(0.91893853320467 - x), $MachinePrecision]), $MachinePrecision] + N[(0.083333333333333 / x), $MachinePrecision]), $MachinePrecision] + N[(N[(z / x), $MachinePrecision] * N[(N[(z * N[(y + 0.0007936500793651), $MachinePrecision]), $MachinePrecision] - 0.0027777777777778), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(x - 0.5\right) \cdot \log x + \left(0.91893853320467 - x\right)\right) + \frac{0.083333333333333}{x}\right) + \frac{z}{x} \cdot \left(z \cdot \left(y + 0.0007936500793651\right) - 0.0027777777777778\right)
\end{array}
herbie shell --seed 2024276
(FPCore (x y z)
:name "Numeric.SpecFunctions:$slogFactorial from math-functions-0.1.5.2, B"
:precision binary64
:alt
(! :herbie-platform default (+ (+ (+ (* (- x 1/2) (log x)) (- 91893853320467/100000000000000 x)) (/ 83333333333333/1000000000000000 x)) (* (/ z x) (- (* z (+ y 7936500793651/10000000000000000)) 13888888888889/5000000000000000))))
(+ (+ (- (* (- x 0.5) (log x)) x) 0.91893853320467) (/ (+ (* (- (* (+ y 0.0007936500793651) z) 0.0027777777777778) z) 0.083333333333333) x)))