
(FPCore (x) :precision binary64 (log (+ x (sqrt (+ (* x x) 1.0)))))
double code(double x) {
return log((x + sqrt(((x * x) + 1.0))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = log((x + sqrt(((x * x) + 1.0d0))))
end function
public static double code(double x) {
return Math.log((x + Math.sqrt(((x * x) + 1.0))));
}
def code(x): return math.log((x + math.sqrt(((x * x) + 1.0))))
function code(x) return log(Float64(x + sqrt(Float64(Float64(x * x) + 1.0)))) end
function tmp = code(x) tmp = log((x + sqrt(((x * x) + 1.0)))); end
code[x_] := N[Log[N[(x + N[Sqrt[N[(N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\log \left(x + \sqrt{x \cdot x + 1}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 9 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (log (+ x (sqrt (+ (* x x) 1.0)))))
double code(double x) {
return log((x + sqrt(((x * x) + 1.0))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = log((x + sqrt(((x * x) + 1.0d0))))
end function
public static double code(double x) {
return Math.log((x + Math.sqrt(((x * x) + 1.0))));
}
def code(x): return math.log((x + math.sqrt(((x * x) + 1.0))))
function code(x) return log(Float64(x + sqrt(Float64(Float64(x * x) + 1.0)))) end
function tmp = code(x) tmp = log((x + sqrt(((x * x) + 1.0)))); end
code[x_] := N[Log[N[(x + N[Sqrt[N[(N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\log \left(x + \sqrt{x \cdot x + 1}\right)
\end{array}
(FPCore (x)
:precision binary64
(if (<= x -1.1)
(log (/ (+ (/ -0.0625 (* x (* x (* x x)))) (+ -0.5 (/ 0.125 (* x x)))) x))
(if (<= x 0.02)
(*
x
(+
1.0
(*
(* x x)
(+
-0.16666666666666666
(* (* x x) (+ 0.075 (* (* x x) -0.044642857142857144)))))))
(log (+ x (hypot 1.0 x))))))
double code(double x) {
double tmp;
if (x <= -1.1) {
tmp = log((((-0.0625 / (x * (x * (x * x)))) + (-0.5 + (0.125 / (x * x)))) / x));
} else if (x <= 0.02) {
tmp = x * (1.0 + ((x * x) * (-0.16666666666666666 + ((x * x) * (0.075 + ((x * x) * -0.044642857142857144))))));
} else {
tmp = log((x + hypot(1.0, x)));
}
return tmp;
}
public static double code(double x) {
double tmp;
if (x <= -1.1) {
tmp = Math.log((((-0.0625 / (x * (x * (x * x)))) + (-0.5 + (0.125 / (x * x)))) / x));
} else if (x <= 0.02) {
tmp = x * (1.0 + ((x * x) * (-0.16666666666666666 + ((x * x) * (0.075 + ((x * x) * -0.044642857142857144))))));
} else {
tmp = Math.log((x + Math.hypot(1.0, x)));
}
return tmp;
}
def code(x): tmp = 0 if x <= -1.1: tmp = math.log((((-0.0625 / (x * (x * (x * x)))) + (-0.5 + (0.125 / (x * x)))) / x)) elif x <= 0.02: tmp = x * (1.0 + ((x * x) * (-0.16666666666666666 + ((x * x) * (0.075 + ((x * x) * -0.044642857142857144)))))) else: tmp = math.log((x + math.hypot(1.0, x))) return tmp
function code(x) tmp = 0.0 if (x <= -1.1) tmp = log(Float64(Float64(Float64(-0.0625 / Float64(x * Float64(x * Float64(x * x)))) + Float64(-0.5 + Float64(0.125 / Float64(x * x)))) / x)); elseif (x <= 0.02) tmp = Float64(x * Float64(1.0 + Float64(Float64(x * x) * Float64(-0.16666666666666666 + Float64(Float64(x * x) * Float64(0.075 + Float64(Float64(x * x) * -0.044642857142857144))))))); else tmp = log(Float64(x + hypot(1.0, x))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= -1.1) tmp = log((((-0.0625 / (x * (x * (x * x)))) + (-0.5 + (0.125 / (x * x)))) / x)); elseif (x <= 0.02) tmp = x * (1.0 + ((x * x) * (-0.16666666666666666 + ((x * x) * (0.075 + ((x * x) * -0.044642857142857144)))))); else tmp = log((x + hypot(1.0, x))); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, -1.1], N[Log[N[(N[(N[(-0.0625 / N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.5 + N[(0.125 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision], If[LessEqual[x, 0.02], N[(x * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(-0.16666666666666666 + N[(N[(x * x), $MachinePrecision] * N[(0.075 + N[(N[(x * x), $MachinePrecision] * -0.044642857142857144), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Log[N[(x + N[Sqrt[1.0 ^ 2 + x ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -1.1:\\
\;\;\;\;\log \left(\frac{\frac{-0.0625}{x \cdot \left(x \cdot \left(x \cdot x\right)\right)} + \left(-0.5 + \frac{0.125}{x \cdot x}\right)}{x}\right)\\
\mathbf{elif}\;x \leq 0.02:\\
\;\;\;\;x \cdot \left(1 + \left(x \cdot x\right) \cdot \left(-0.16666666666666666 + \left(x \cdot x\right) \cdot \left(0.075 + \left(x \cdot x\right) \cdot -0.044642857142857144\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\log \left(x + \mathsf{hypot}\left(1, x\right)\right)\\
\end{array}
\end{array}
if x < -1.1000000000000001Initial program 3.9%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f645.3%
Simplified5.3%
Taylor expanded in x around -inf
associate-*r/N/A
/-lowering-/.f64N/A
Simplified98.8%
if -1.1000000000000001 < x < 0.0200000000000000004Initial program 8.9%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f648.9%
Simplified8.9%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
if 0.0200000000000000004 < x Initial program 55.1%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f64100.0%
Simplified100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x x)))))
(if (<= x -1.1)
(log (/ (+ (/ -0.0625 t_0) (+ -0.5 (/ 0.125 (* x x)))) x))
(if (<= x 0.99)
(*
x
(+
(+ 1.0 (* t_0 0.075))
(* (* x x) (+ -0.16666666666666666 (* t_0 -0.044642857142857144)))))
(log (+ x (+ (/ 0.5 x) (* x (- 1.0 (/ 0.125 t_0))))))))))
double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.1) {
tmp = log((((-0.0625 / t_0) + (-0.5 + (0.125 / (x * x)))) / x));
} else if (x <= 0.99) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = log((x + ((0.5 / x) + (x * (1.0 - (0.125 / t_0))))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = x * (x * (x * x))
if (x <= (-1.1d0)) then
tmp = log(((((-0.0625d0) / t_0) + ((-0.5d0) + (0.125d0 / (x * x)))) / x))
else if (x <= 0.99d0) then
tmp = x * ((1.0d0 + (t_0 * 0.075d0)) + ((x * x) * ((-0.16666666666666666d0) + (t_0 * (-0.044642857142857144d0)))))
else
tmp = log((x + ((0.5d0 / x) + (x * (1.0d0 - (0.125d0 / t_0))))))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.1) {
tmp = Math.log((((-0.0625 / t_0) + (-0.5 + (0.125 / (x * x)))) / x));
} else if (x <= 0.99) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = Math.log((x + ((0.5 / x) + (x * (1.0 - (0.125 / t_0))))));
}
return tmp;
}
def code(x): t_0 = x * (x * (x * x)) tmp = 0 if x <= -1.1: tmp = math.log((((-0.0625 / t_0) + (-0.5 + (0.125 / (x * x)))) / x)) elif x <= 0.99: tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))) else: tmp = math.log((x + ((0.5 / x) + (x * (1.0 - (0.125 / t_0)))))) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(x * x))) tmp = 0.0 if (x <= -1.1) tmp = log(Float64(Float64(Float64(-0.0625 / t_0) + Float64(-0.5 + Float64(0.125 / Float64(x * x)))) / x)); elseif (x <= 0.99) tmp = Float64(x * Float64(Float64(1.0 + Float64(t_0 * 0.075)) + Float64(Float64(x * x) * Float64(-0.16666666666666666 + Float64(t_0 * -0.044642857142857144))))); else tmp = log(Float64(x + Float64(Float64(0.5 / x) + Float64(x * Float64(1.0 - Float64(0.125 / t_0)))))); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * (x * x)); tmp = 0.0; if (x <= -1.1) tmp = log((((-0.0625 / t_0) + (-0.5 + (0.125 / (x * x)))) / x)); elseif (x <= 0.99) tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))); else tmp = log((x + ((0.5 / x) + (x * (1.0 - (0.125 / t_0)))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.1], N[Log[N[(N[(N[(-0.0625 / t$95$0), $MachinePrecision] + N[(-0.5 + N[(0.125 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision], If[LessEqual[x, 0.99], N[(x * N[(N[(1.0 + N[(t$95$0 * 0.075), $MachinePrecision]), $MachinePrecision] + N[(N[(x * x), $MachinePrecision] * N[(-0.16666666666666666 + N[(t$95$0 * -0.044642857142857144), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Log[N[(x + N[(N[(0.5 / x), $MachinePrecision] + N[(x * N[(1.0 - N[(0.125 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
\mathbf{if}\;x \leq -1.1:\\
\;\;\;\;\log \left(\frac{\frac{-0.0625}{t\_0} + \left(-0.5 + \frac{0.125}{x \cdot x}\right)}{x}\right)\\
\mathbf{elif}\;x \leq 0.99:\\
\;\;\;\;x \cdot \left(\left(1 + t\_0 \cdot 0.075\right) + \left(x \cdot x\right) \cdot \left(-0.16666666666666666 + t\_0 \cdot -0.044642857142857144\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\log \left(x + \left(\frac{0.5}{x} + x \cdot \left(1 - \frac{0.125}{t\_0}\right)\right)\right)\\
\end{array}
\end{array}
if x < -1.1000000000000001Initial program 3.9%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f645.3%
Simplified5.3%
Taylor expanded in x around -inf
associate-*r/N/A
/-lowering-/.f64N/A
Simplified98.8%
if -1.1000000000000001 < x < 0.98999999999999999Initial program 9.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f649.5%
Simplified9.5%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.9%
Simplified99.9%
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
+-lowering-+.f64N/A
Applied egg-rr99.9%
if 0.98999999999999999 < x Initial program 54.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
sub-negN/A
distribute-lft-inN/A
+-commutativeN/A
distribute-rgt-inN/A
*-lft-identityN/A
associate-+l+N/A
*-rgt-identityN/A
distribute-lft-inN/A
sub-negN/A
+-lowering-+.f64N/A
Simplified99.3%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x x)))))
(if (<= x -1.15)
(log (/ (+ -0.5 (/ 0.125 (* x x))) x))
(if (<= x 0.99)
(*
x
(+
(+ 1.0 (* t_0 0.075))
(* (* x x) (+ -0.16666666666666666 (* t_0 -0.044642857142857144)))))
(log (+ x (+ (/ 0.5 x) (* x (- 1.0 (/ 0.125 t_0))))))))))
double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.15) {
tmp = log(((-0.5 + (0.125 / (x * x))) / x));
} else if (x <= 0.99) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = log((x + ((0.5 / x) + (x * (1.0 - (0.125 / t_0))))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = x * (x * (x * x))
if (x <= (-1.15d0)) then
tmp = log((((-0.5d0) + (0.125d0 / (x * x))) / x))
else if (x <= 0.99d0) then
tmp = x * ((1.0d0 + (t_0 * 0.075d0)) + ((x * x) * ((-0.16666666666666666d0) + (t_0 * (-0.044642857142857144d0)))))
else
tmp = log((x + ((0.5d0 / x) + (x * (1.0d0 - (0.125d0 / t_0))))))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.15) {
tmp = Math.log(((-0.5 + (0.125 / (x * x))) / x));
} else if (x <= 0.99) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = Math.log((x + ((0.5 / x) + (x * (1.0 - (0.125 / t_0))))));
}
return tmp;
}
def code(x): t_0 = x * (x * (x * x)) tmp = 0 if x <= -1.15: tmp = math.log(((-0.5 + (0.125 / (x * x))) / x)) elif x <= 0.99: tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))) else: tmp = math.log((x + ((0.5 / x) + (x * (1.0 - (0.125 / t_0)))))) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(x * x))) tmp = 0.0 if (x <= -1.15) tmp = log(Float64(Float64(-0.5 + Float64(0.125 / Float64(x * x))) / x)); elseif (x <= 0.99) tmp = Float64(x * Float64(Float64(1.0 + Float64(t_0 * 0.075)) + Float64(Float64(x * x) * Float64(-0.16666666666666666 + Float64(t_0 * -0.044642857142857144))))); else tmp = log(Float64(x + Float64(Float64(0.5 / x) + Float64(x * Float64(1.0 - Float64(0.125 / t_0)))))); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * (x * x)); tmp = 0.0; if (x <= -1.15) tmp = log(((-0.5 + (0.125 / (x * x))) / x)); elseif (x <= 0.99) tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))); else tmp = log((x + ((0.5 / x) + (x * (1.0 - (0.125 / t_0)))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.15], N[Log[N[(N[(-0.5 + N[(0.125 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision], If[LessEqual[x, 0.99], N[(x * N[(N[(1.0 + N[(t$95$0 * 0.075), $MachinePrecision]), $MachinePrecision] + N[(N[(x * x), $MachinePrecision] * N[(-0.16666666666666666 + N[(t$95$0 * -0.044642857142857144), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Log[N[(x + N[(N[(0.5 / x), $MachinePrecision] + N[(x * N[(1.0 - N[(0.125 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
\mathbf{if}\;x \leq -1.15:\\
\;\;\;\;\log \left(\frac{-0.5 + \frac{0.125}{x \cdot x}}{x}\right)\\
\mathbf{elif}\;x \leq 0.99:\\
\;\;\;\;x \cdot \left(\left(1 + t\_0 \cdot 0.075\right) + \left(x \cdot x\right) \cdot \left(-0.16666666666666666 + t\_0 \cdot -0.044642857142857144\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\log \left(x + \left(\frac{0.5}{x} + x \cdot \left(1 - \frac{0.125}{t\_0}\right)\right)\right)\\
\end{array}
\end{array}
if x < -1.1499999999999999Initial program 3.9%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f645.3%
Simplified5.3%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-fracN/A
sub-negN/A
+-commutativeN/A
distribute-neg-inN/A
remove-double-negN/A
sub-negN/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6498.8%
Simplified98.8%
if -1.1499999999999999 < x < 0.98999999999999999Initial program 9.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f649.5%
Simplified9.5%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.9%
Simplified99.9%
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
+-lowering-+.f64N/A
Applied egg-rr99.9%
if 0.98999999999999999 < x Initial program 54.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
sub-negN/A
distribute-lft-inN/A
+-commutativeN/A
distribute-rgt-inN/A
*-lft-identityN/A
associate-+l+N/A
*-rgt-identityN/A
distribute-lft-inN/A
sub-negN/A
+-lowering-+.f64N/A
Simplified99.3%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x x)))))
(if (<= x -1.15)
(log (/ (+ -0.5 (/ 0.125 (* x x))) x))
(if (<= x 0.99)
(*
x
(+
(+ 1.0 (* t_0 0.075))
(* (* x x) (+ -0.16666666666666666 (* t_0 -0.044642857142857144)))))
(log (+ (/ 0.5 x) (* x (- 2.0 (/ 0.125 t_0)))))))))
double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.15) {
tmp = log(((-0.5 + (0.125 / (x * x))) / x));
} else if (x <= 0.99) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = log(((0.5 / x) + (x * (2.0 - (0.125 / t_0)))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = x * (x * (x * x))
if (x <= (-1.15d0)) then
tmp = log((((-0.5d0) + (0.125d0 / (x * x))) / x))
else if (x <= 0.99d0) then
tmp = x * ((1.0d0 + (t_0 * 0.075d0)) + ((x * x) * ((-0.16666666666666666d0) + (t_0 * (-0.044642857142857144d0)))))
else
tmp = log(((0.5d0 / x) + (x * (2.0d0 - (0.125d0 / t_0)))))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.15) {
tmp = Math.log(((-0.5 + (0.125 / (x * x))) / x));
} else if (x <= 0.99) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = Math.log(((0.5 / x) + (x * (2.0 - (0.125 / t_0)))));
}
return tmp;
}
def code(x): t_0 = x * (x * (x * x)) tmp = 0 if x <= -1.15: tmp = math.log(((-0.5 + (0.125 / (x * x))) / x)) elif x <= 0.99: tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))) else: tmp = math.log(((0.5 / x) + (x * (2.0 - (0.125 / t_0))))) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(x * x))) tmp = 0.0 if (x <= -1.15) tmp = log(Float64(Float64(-0.5 + Float64(0.125 / Float64(x * x))) / x)); elseif (x <= 0.99) tmp = Float64(x * Float64(Float64(1.0 + Float64(t_0 * 0.075)) + Float64(Float64(x * x) * Float64(-0.16666666666666666 + Float64(t_0 * -0.044642857142857144))))); else tmp = log(Float64(Float64(0.5 / x) + Float64(x * Float64(2.0 - Float64(0.125 / t_0))))); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * (x * x)); tmp = 0.0; if (x <= -1.15) tmp = log(((-0.5 + (0.125 / (x * x))) / x)); elseif (x <= 0.99) tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))); else tmp = log(((0.5 / x) + (x * (2.0 - (0.125 / t_0))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.15], N[Log[N[(N[(-0.5 + N[(0.125 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision], If[LessEqual[x, 0.99], N[(x * N[(N[(1.0 + N[(t$95$0 * 0.075), $MachinePrecision]), $MachinePrecision] + N[(N[(x * x), $MachinePrecision] * N[(-0.16666666666666666 + N[(t$95$0 * -0.044642857142857144), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Log[N[(N[(0.5 / x), $MachinePrecision] + N[(x * N[(2.0 - N[(0.125 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
\mathbf{if}\;x \leq -1.15:\\
\;\;\;\;\log \left(\frac{-0.5 + \frac{0.125}{x \cdot x}}{x}\right)\\
\mathbf{elif}\;x \leq 0.99:\\
\;\;\;\;x \cdot \left(\left(1 + t\_0 \cdot 0.075\right) + \left(x \cdot x\right) \cdot \left(-0.16666666666666666 + t\_0 \cdot -0.044642857142857144\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\log \left(\frac{0.5}{x} + x \cdot \left(2 - \frac{0.125}{t\_0}\right)\right)\\
\end{array}
\end{array}
if x < -1.1499999999999999Initial program 3.9%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f645.3%
Simplified5.3%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-fracN/A
sub-negN/A
+-commutativeN/A
distribute-neg-inN/A
remove-double-negN/A
sub-negN/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6498.8%
Simplified98.8%
if -1.1499999999999999 < x < 0.98999999999999999Initial program 9.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f649.5%
Simplified9.5%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.9%
Simplified99.9%
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
+-lowering-+.f64N/A
Applied egg-rr99.9%
if 0.98999999999999999 < x Initial program 54.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
sub-negN/A
distribute-lft-inN/A
+-commutativeN/A
distribute-rgt-inN/A
associate-+l+N/A
*-commutativeN/A
distribute-lft-inN/A
sub-negN/A
+-lowering-+.f64N/A
Simplified99.3%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x x)))))
(if (<= x -1.15)
(log (/ (+ -0.5 (/ 0.125 (* x x))) x))
(if (<= x 1.05)
(*
x
(+
(+ 1.0 (* t_0 0.075))
(* (* x x) (+ -0.16666666666666666 (* t_0 -0.044642857142857144)))))
(log (+ x (+ x (/ 0.5 x))))))))
double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.15) {
tmp = log(((-0.5 + (0.125 / (x * x))) / x));
} else if (x <= 1.05) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = log((x + (x + (0.5 / x))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = x * (x * (x * x))
if (x <= (-1.15d0)) then
tmp = log((((-0.5d0) + (0.125d0 / (x * x))) / x))
else if (x <= 1.05d0) then
tmp = x * ((1.0d0 + (t_0 * 0.075d0)) + ((x * x) * ((-0.16666666666666666d0) + (t_0 * (-0.044642857142857144d0)))))
else
tmp = log((x + (x + (0.5d0 / x))))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.15) {
tmp = Math.log(((-0.5 + (0.125 / (x * x))) / x));
} else if (x <= 1.05) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = Math.log((x + (x + (0.5 / x))));
}
return tmp;
}
def code(x): t_0 = x * (x * (x * x)) tmp = 0 if x <= -1.15: tmp = math.log(((-0.5 + (0.125 / (x * x))) / x)) elif x <= 1.05: tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))) else: tmp = math.log((x + (x + (0.5 / x)))) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(x * x))) tmp = 0.0 if (x <= -1.15) tmp = log(Float64(Float64(-0.5 + Float64(0.125 / Float64(x * x))) / x)); elseif (x <= 1.05) tmp = Float64(x * Float64(Float64(1.0 + Float64(t_0 * 0.075)) + Float64(Float64(x * x) * Float64(-0.16666666666666666 + Float64(t_0 * -0.044642857142857144))))); else tmp = log(Float64(x + Float64(x + Float64(0.5 / x)))); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * (x * x)); tmp = 0.0; if (x <= -1.15) tmp = log(((-0.5 + (0.125 / (x * x))) / x)); elseif (x <= 1.05) tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))); else tmp = log((x + (x + (0.5 / x)))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.15], N[Log[N[(N[(-0.5 + N[(0.125 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision], If[LessEqual[x, 1.05], N[(x * N[(N[(1.0 + N[(t$95$0 * 0.075), $MachinePrecision]), $MachinePrecision] + N[(N[(x * x), $MachinePrecision] * N[(-0.16666666666666666 + N[(t$95$0 * -0.044642857142857144), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Log[N[(x + N[(x + N[(0.5 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
\mathbf{if}\;x \leq -1.15:\\
\;\;\;\;\log \left(\frac{-0.5 + \frac{0.125}{x \cdot x}}{x}\right)\\
\mathbf{elif}\;x \leq 1.05:\\
\;\;\;\;x \cdot \left(\left(1 + t\_0 \cdot 0.075\right) + \left(x \cdot x\right) \cdot \left(-0.16666666666666666 + t\_0 \cdot -0.044642857142857144\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\log \left(x + \left(x + \frac{0.5}{x}\right)\right)\\
\end{array}
\end{array}
if x < -1.1499999999999999Initial program 3.9%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f645.3%
Simplified5.3%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-fracN/A
sub-negN/A
+-commutativeN/A
distribute-neg-inN/A
remove-double-negN/A
sub-negN/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6498.8%
Simplified98.8%
if -1.1499999999999999 < x < 1.05000000000000004Initial program 9.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f649.5%
Simplified9.5%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.9%
Simplified99.9%
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
+-lowering-+.f64N/A
Applied egg-rr99.9%
if 1.05000000000000004 < x Initial program 54.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
distribute-rgt-inN/A
*-lft-identityN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
associate-*l/N/A
unpow2N/A
associate-/r*N/A
*-lft-identityN/A
times-fracN/A
metadata-evalN/A
*-inversesN/A
metadata-evalN/A
/-lowering-/.f6498.4%
Simplified98.4%
Final simplification99.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x x)))))
(if (<= x -1.25)
(log (/ -0.5 x))
(if (<= x 1.05)
(*
x
(+
(+ 1.0 (* t_0 0.075))
(* (* x x) (+ -0.16666666666666666 (* t_0 -0.044642857142857144)))))
(log (+ x (+ x (/ 0.5 x))))))))
double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.25) {
tmp = log((-0.5 / x));
} else if (x <= 1.05) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = log((x + (x + (0.5 / x))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = x * (x * (x * x))
if (x <= (-1.25d0)) then
tmp = log(((-0.5d0) / x))
else if (x <= 1.05d0) then
tmp = x * ((1.0d0 + (t_0 * 0.075d0)) + ((x * x) * ((-0.16666666666666666d0) + (t_0 * (-0.044642857142857144d0)))))
else
tmp = log((x + (x + (0.5d0 / x))))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.25) {
tmp = Math.log((-0.5 / x));
} else if (x <= 1.05) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = Math.log((x + (x + (0.5 / x))));
}
return tmp;
}
def code(x): t_0 = x * (x * (x * x)) tmp = 0 if x <= -1.25: tmp = math.log((-0.5 / x)) elif x <= 1.05: tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))) else: tmp = math.log((x + (x + (0.5 / x)))) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(x * x))) tmp = 0.0 if (x <= -1.25) tmp = log(Float64(-0.5 / x)); elseif (x <= 1.05) tmp = Float64(x * Float64(Float64(1.0 + Float64(t_0 * 0.075)) + Float64(Float64(x * x) * Float64(-0.16666666666666666 + Float64(t_0 * -0.044642857142857144))))); else tmp = log(Float64(x + Float64(x + Float64(0.5 / x)))); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * (x * x)); tmp = 0.0; if (x <= -1.25) tmp = log((-0.5 / x)); elseif (x <= 1.05) tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))); else tmp = log((x + (x + (0.5 / x)))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.25], N[Log[N[(-0.5 / x), $MachinePrecision]], $MachinePrecision], If[LessEqual[x, 1.05], N[(x * N[(N[(1.0 + N[(t$95$0 * 0.075), $MachinePrecision]), $MachinePrecision] + N[(N[(x * x), $MachinePrecision] * N[(-0.16666666666666666 + N[(t$95$0 * -0.044642857142857144), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Log[N[(x + N[(x + N[(0.5 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
\mathbf{if}\;x \leq -1.25:\\
\;\;\;\;\log \left(\frac{-0.5}{x}\right)\\
\mathbf{elif}\;x \leq 1.05:\\
\;\;\;\;x \cdot \left(\left(1 + t\_0 \cdot 0.075\right) + \left(x \cdot x\right) \cdot \left(-0.16666666666666666 + t\_0 \cdot -0.044642857142857144\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\log \left(x + \left(x + \frac{0.5}{x}\right)\right)\\
\end{array}
\end{array}
if x < -1.25Initial program 3.9%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f645.3%
Simplified5.3%
Taylor expanded in x around -inf
/-lowering-/.f6498.7%
Simplified98.7%
if -1.25 < x < 1.05000000000000004Initial program 9.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f649.5%
Simplified9.5%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.9%
Simplified99.9%
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
+-lowering-+.f64N/A
Applied egg-rr99.9%
if 1.05000000000000004 < x Initial program 54.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
distribute-rgt-inN/A
*-lft-identityN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
associate-*l/N/A
unpow2N/A
associate-/r*N/A
*-lft-identityN/A
times-fracN/A
metadata-evalN/A
*-inversesN/A
metadata-evalN/A
/-lowering-/.f6498.4%
Simplified98.4%
Final simplification99.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x x)))))
(if (<= x -1.25)
(log (/ -0.5 x))
(if (<= x 1.3)
(*
x
(+
(+ 1.0 (* t_0 0.075))
(* (* x x) (+ -0.16666666666666666 (* t_0 -0.044642857142857144)))))
(log (+ x x))))))
double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.25) {
tmp = log((-0.5 / x));
} else if (x <= 1.3) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = log((x + x));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = x * (x * (x * x))
if (x <= (-1.25d0)) then
tmp = log(((-0.5d0) / x))
else if (x <= 1.3d0) then
tmp = x * ((1.0d0 + (t_0 * 0.075d0)) + ((x * x) * ((-0.16666666666666666d0) + (t_0 * (-0.044642857142857144d0)))))
else
tmp = log((x + x))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = x * (x * (x * x));
double tmp;
if (x <= -1.25) {
tmp = Math.log((-0.5 / x));
} else if (x <= 1.3) {
tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144))));
} else {
tmp = Math.log((x + x));
}
return tmp;
}
def code(x): t_0 = x * (x * (x * x)) tmp = 0 if x <= -1.25: tmp = math.log((-0.5 / x)) elif x <= 1.3: tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))) else: tmp = math.log((x + x)) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(x * x))) tmp = 0.0 if (x <= -1.25) tmp = log(Float64(-0.5 / x)); elseif (x <= 1.3) tmp = Float64(x * Float64(Float64(1.0 + Float64(t_0 * 0.075)) + Float64(Float64(x * x) * Float64(-0.16666666666666666 + Float64(t_0 * -0.044642857142857144))))); else tmp = log(Float64(x + x)); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * (x * x)); tmp = 0.0; if (x <= -1.25) tmp = log((-0.5 / x)); elseif (x <= 1.3) tmp = x * ((1.0 + (t_0 * 0.075)) + ((x * x) * (-0.16666666666666666 + (t_0 * -0.044642857142857144)))); else tmp = log((x + x)); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.25], N[Log[N[(-0.5 / x), $MachinePrecision]], $MachinePrecision], If[LessEqual[x, 1.3], N[(x * N[(N[(1.0 + N[(t$95$0 * 0.075), $MachinePrecision]), $MachinePrecision] + N[(N[(x * x), $MachinePrecision] * N[(-0.16666666666666666 + N[(t$95$0 * -0.044642857142857144), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Log[N[(x + x), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
\mathbf{if}\;x \leq -1.25:\\
\;\;\;\;\log \left(\frac{-0.5}{x}\right)\\
\mathbf{elif}\;x \leq 1.3:\\
\;\;\;\;x \cdot \left(\left(1 + t\_0 \cdot 0.075\right) + \left(x \cdot x\right) \cdot \left(-0.16666666666666666 + t\_0 \cdot -0.044642857142857144\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\log \left(x + x\right)\\
\end{array}
\end{array}
if x < -1.25Initial program 3.9%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f645.3%
Simplified5.3%
Taylor expanded in x around -inf
/-lowering-/.f6498.7%
Simplified98.7%
if -1.25 < x < 1.30000000000000004Initial program 9.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f649.5%
Simplified9.5%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.9%
Simplified99.9%
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
+-lowering-+.f64N/A
Applied egg-rr99.9%
if 1.30000000000000004 < x Initial program 54.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
Simplified97.2%
Final simplification98.9%
(FPCore (x) :precision binary64 (if (<= x 1.32) (+ x (* x (* (* x x) (+ -0.16666666666666666 (* (* x x) 0.075))))) (log (+ x x))))
double code(double x) {
double tmp;
if (x <= 1.32) {
tmp = x + (x * ((x * x) * (-0.16666666666666666 + ((x * x) * 0.075))));
} else {
tmp = log((x + x));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= 1.32d0) then
tmp = x + (x * ((x * x) * ((-0.16666666666666666d0) + ((x * x) * 0.075d0))))
else
tmp = log((x + x))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= 1.32) {
tmp = x + (x * ((x * x) * (-0.16666666666666666 + ((x * x) * 0.075))));
} else {
tmp = Math.log((x + x));
}
return tmp;
}
def code(x): tmp = 0 if x <= 1.32: tmp = x + (x * ((x * x) * (-0.16666666666666666 + ((x * x) * 0.075)))) else: tmp = math.log((x + x)) return tmp
function code(x) tmp = 0.0 if (x <= 1.32) tmp = Float64(x + Float64(x * Float64(Float64(x * x) * Float64(-0.16666666666666666 + Float64(Float64(x * x) * 0.075))))); else tmp = log(Float64(x + x)); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 1.32) tmp = x + (x * ((x * x) * (-0.16666666666666666 + ((x * x) * 0.075)))); else tmp = log((x + x)); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 1.32], N[(x + N[(x * N[(N[(x * x), $MachinePrecision] * N[(-0.16666666666666666 + N[(N[(x * x), $MachinePrecision] * 0.075), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Log[N[(x + x), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 1.32:\\
\;\;\;\;x + x \cdot \left(\left(x \cdot x\right) \cdot \left(-0.16666666666666666 + \left(x \cdot x\right) \cdot 0.075\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\log \left(x + x\right)\\
\end{array}
\end{array}
if x < 1.32000000000000006Initial program 7.8%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f648.2%
Simplified8.2%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6468.7%
Simplified68.7%
Taylor expanded in x around 0
Simplified69.4%
+-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6469.5%
Applied egg-rr69.5%
if 1.32000000000000006 < x Initial program 54.5%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
Simplified97.2%
Final simplification76.6%
(FPCore (x) :precision binary64 x)
double code(double x) {
return x;
}
real(8) function code(x)
real(8), intent (in) :: x
code = x
end function
public static double code(double x) {
return x;
}
def code(x): return x
function code(x) return x end
function tmp = code(x) tmp = x; end
code[x_] := x
\begin{array}{l}
\\
x
\end{array}
Initial program 19.8%
log-lowering-log.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
hypot-1-defN/A
hypot-lowering-hypot.f6431.9%
Simplified31.9%
Taylor expanded in x around 0
Simplified52.7%
(FPCore (x) :precision binary64 (let* ((t_0 (sqrt (+ (* x x) 1.0)))) (if (< x 0.0) (log (/ -1.0 (- x t_0))) (log (+ x t_0)))))
double code(double x) {
double t_0 = sqrt(((x * x) + 1.0));
double tmp;
if (x < 0.0) {
tmp = log((-1.0 / (x - t_0)));
} else {
tmp = log((x + t_0));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(((x * x) + 1.0d0))
if (x < 0.0d0) then
tmp = log(((-1.0d0) / (x - t_0)))
else
tmp = log((x + t_0))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = Math.sqrt(((x * x) + 1.0));
double tmp;
if (x < 0.0) {
tmp = Math.log((-1.0 / (x - t_0)));
} else {
tmp = Math.log((x + t_0));
}
return tmp;
}
def code(x): t_0 = math.sqrt(((x * x) + 1.0)) tmp = 0 if x < 0.0: tmp = math.log((-1.0 / (x - t_0))) else: tmp = math.log((x + t_0)) return tmp
function code(x) t_0 = sqrt(Float64(Float64(x * x) + 1.0)) tmp = 0.0 if (x < 0.0) tmp = log(Float64(-1.0 / Float64(x - t_0))); else tmp = log(Float64(x + t_0)); end return tmp end
function tmp_2 = code(x) t_0 = sqrt(((x * x) + 1.0)); tmp = 0.0; if (x < 0.0) tmp = log((-1.0 / (x - t_0))); else tmp = log((x + t_0)); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[Sqrt[N[(N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]}, If[Less[x, 0.0], N[Log[N[(-1.0 / N[(x - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Log[N[(x + t$95$0), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{x \cdot x + 1}\\
\mathbf{if}\;x < 0:\\
\;\;\;\;\log \left(\frac{-1}{x - t\_0}\right)\\
\mathbf{else}:\\
\;\;\;\;\log \left(x + t\_0\right)\\
\end{array}
\end{array}
herbie shell --seed 2024164
(FPCore (x)
:name "Hyperbolic arcsine"
:precision binary64
:alt
(! :herbie-platform default (if (< x 0) (log (/ -1 (- x (sqrt (+ (* x x) 1))))) (log (+ x (sqrt (+ (* x x) 1))))))
(log (+ x (sqrt (+ (* x x) 1.0)))))