
(FPCore (a b) :precision binary64 (* (* (/ PI 2.0) (/ 1.0 (- (* b b) (* a a)))) (- (/ 1.0 a) (/ 1.0 b))))
double code(double a, double b) {
return ((((double) M_PI) / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
public static double code(double a, double b) {
return ((Math.PI / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
def code(a, b): return ((math.pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b))
function code(a, b) return Float64(Float64(Float64(pi / 2.0) * Float64(1.0 / Float64(Float64(b * b) - Float64(a * a)))) * Float64(Float64(1.0 / a) - Float64(1.0 / b))) end
function tmp = code(a, b) tmp = ((pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b)); end
code[a_, b_] := N[(N[(N[(Pi / 2.0), $MachinePrecision] * N[(1.0 / N[(N[(b * b), $MachinePrecision] - N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / a), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 9 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (a b) :precision binary64 (* (* (/ PI 2.0) (/ 1.0 (- (* b b) (* a a)))) (- (/ 1.0 a) (/ 1.0 b))))
double code(double a, double b) {
return ((((double) M_PI) / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
public static double code(double a, double b) {
return ((Math.PI / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
def code(a, b): return ((math.pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b))
function code(a, b) return Float64(Float64(Float64(pi / 2.0) * Float64(1.0 / Float64(Float64(b * b) - Float64(a * a)))) * Float64(Float64(1.0 / a) - Float64(1.0 / b))) end
function tmp = code(a, b) tmp = ((pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b)); end
code[a_, b_] := N[(N[(N[(Pi / 2.0), $MachinePrecision] * N[(1.0 / N[(N[(b * b), $MachinePrecision] - N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / a), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)
\end{array}
(FPCore (a b) :precision binary64 (/ (/ PI (* 2.0 (+ a b))) (* a b)))
double code(double a, double b) {
return (((double) M_PI) / (2.0 * (a + b))) / (a * b);
}
public static double code(double a, double b) {
return (Math.PI / (2.0 * (a + b))) / (a * b);
}
def code(a, b): return (math.pi / (2.0 * (a + b))) / (a * b)
function code(a, b) return Float64(Float64(pi / Float64(2.0 * Float64(a + b))) / Float64(a * b)) end
function tmp = code(a, b) tmp = (pi / (2.0 * (a + b))) / (a * b); end
code[a_, b_] := N[(N[(Pi / N[(2.0 * N[(a + b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(a * b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\pi}{2 \cdot \left(a + b\right)}}{a \cdot b}
\end{array}
Initial program 78.3%
un-div-invN/A
difference-of-squaresN/A
associate-/r*N/A
*-rgt-identityN/A
*-lft-identityN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
--lowering--.f6488.6%
Applied egg-rr88.6%
frac-subN/A
associate-*r/N/A
associate-/l/N/A
*-commutativeN/A
difference-of-squaresN/A
*-lft-identityN/A
*-rgt-identityN/A
associate-/r/N/A
flip-+N/A
/-lowering-/.f64N/A
Applied egg-rr99.7%
(FPCore (a b) :precision binary64 (if (<= a -5.9e-27) (/ (/ (/ PI 2.0) a) (* a b)) (/ (/ PI (* 2.0 b)) (* a b))))
double code(double a, double b) {
double tmp;
if (a <= -5.9e-27) {
tmp = ((((double) M_PI) / 2.0) / a) / (a * b);
} else {
tmp = (((double) M_PI) / (2.0 * b)) / (a * b);
}
return tmp;
}
public static double code(double a, double b) {
double tmp;
if (a <= -5.9e-27) {
tmp = ((Math.PI / 2.0) / a) / (a * b);
} else {
tmp = (Math.PI / (2.0 * b)) / (a * b);
}
return tmp;
}
def code(a, b): tmp = 0 if a <= -5.9e-27: tmp = ((math.pi / 2.0) / a) / (a * b) else: tmp = (math.pi / (2.0 * b)) / (a * b) return tmp
function code(a, b) tmp = 0.0 if (a <= -5.9e-27) tmp = Float64(Float64(Float64(pi / 2.0) / a) / Float64(a * b)); else tmp = Float64(Float64(pi / Float64(2.0 * b)) / Float64(a * b)); end return tmp end
function tmp_2 = code(a, b) tmp = 0.0; if (a <= -5.9e-27) tmp = ((pi / 2.0) / a) / (a * b); else tmp = (pi / (2.0 * b)) / (a * b); end tmp_2 = tmp; end
code[a_, b_] := If[LessEqual[a, -5.9e-27], N[(N[(N[(Pi / 2.0), $MachinePrecision] / a), $MachinePrecision] / N[(a * b), $MachinePrecision]), $MachinePrecision], N[(N[(Pi / N[(2.0 * b), $MachinePrecision]), $MachinePrecision] / N[(a * b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;a \leq -5.9 \cdot 10^{-27}:\\
\;\;\;\;\frac{\frac{\frac{\pi}{2}}{a}}{a \cdot b}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{\pi}{2 \cdot b}}{a \cdot b}\\
\end{array}
\end{array}
if a < -5.8999999999999998e-27Initial program 86.4%
Taylor expanded in b around 0
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6478.8%
Simplified78.8%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6478.9%
Applied egg-rr78.9%
associate-/r*N/A
frac-timesN/A
/-lowering-/.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f6486.1%
Applied egg-rr86.1%
if -5.8999999999999998e-27 < a Initial program 75.5%
un-div-invN/A
difference-of-squaresN/A
associate-/r*N/A
*-rgt-identityN/A
*-lft-identityN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
--lowering--.f6487.3%
Applied egg-rr87.3%
frac-subN/A
associate-*r/N/A
associate-/l/N/A
*-commutativeN/A
difference-of-squaresN/A
*-lft-identityN/A
*-rgt-identityN/A
associate-/r/N/A
flip-+N/A
/-lowering-/.f64N/A
Applied egg-rr99.7%
Taylor expanded in a around 0
*-commutativeN/A
*-lowering-*.f6470.3%
Simplified70.3%
Final simplification74.3%
(FPCore (a b) :precision binary64 (if (<= a -5.1e-20) (* (/ PI a) (/ (/ 0.5 b) a)) (/ (/ PI (* 2.0 b)) (* a b))))
double code(double a, double b) {
double tmp;
if (a <= -5.1e-20) {
tmp = (((double) M_PI) / a) * ((0.5 / b) / a);
} else {
tmp = (((double) M_PI) / (2.0 * b)) / (a * b);
}
return tmp;
}
public static double code(double a, double b) {
double tmp;
if (a <= -5.1e-20) {
tmp = (Math.PI / a) * ((0.5 / b) / a);
} else {
tmp = (Math.PI / (2.0 * b)) / (a * b);
}
return tmp;
}
def code(a, b): tmp = 0 if a <= -5.1e-20: tmp = (math.pi / a) * ((0.5 / b) / a) else: tmp = (math.pi / (2.0 * b)) / (a * b) return tmp
function code(a, b) tmp = 0.0 if (a <= -5.1e-20) tmp = Float64(Float64(pi / a) * Float64(Float64(0.5 / b) / a)); else tmp = Float64(Float64(pi / Float64(2.0 * b)) / Float64(a * b)); end return tmp end
function tmp_2 = code(a, b) tmp = 0.0; if (a <= -5.1e-20) tmp = (pi / a) * ((0.5 / b) / a); else tmp = (pi / (2.0 * b)) / (a * b); end tmp_2 = tmp; end
code[a_, b_] := If[LessEqual[a, -5.1e-20], N[(N[(Pi / a), $MachinePrecision] * N[(N[(0.5 / b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], N[(N[(Pi / N[(2.0 * b), $MachinePrecision]), $MachinePrecision] / N[(a * b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;a \leq -5.1 \cdot 10^{-20}:\\
\;\;\;\;\frac{\pi}{a} \cdot \frac{\frac{0.5}{b}}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{\pi}{2 \cdot b}}{a \cdot b}\\
\end{array}
\end{array}
if a < -5.10000000000000019e-20Initial program 86.3%
Taylor expanded in b around 0
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6480.1%
Simplified80.1%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6480.1%
Applied egg-rr80.1%
associate-*l/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f6487.3%
Applied egg-rr87.3%
if -5.10000000000000019e-20 < a Initial program 75.7%
un-div-invN/A
difference-of-squaresN/A
associate-/r*N/A
*-rgt-identityN/A
*-lft-identityN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
--lowering--.f6487.4%
Applied egg-rr87.4%
frac-subN/A
associate-*r/N/A
associate-/l/N/A
*-commutativeN/A
difference-of-squaresN/A
*-lft-identityN/A
*-rgt-identityN/A
associate-/r/N/A
flip-+N/A
/-lowering-/.f64N/A
Applied egg-rr99.7%
Taylor expanded in a around 0
*-commutativeN/A
*-lowering-*.f6470.5%
Simplified70.5%
Final simplification74.7%
(FPCore (a b) :precision binary64 (if (<= a -5.6e-20) (* (/ PI a) (/ (/ 0.5 b) a)) (/ (/ PI (* a b)) (/ b 0.5))))
double code(double a, double b) {
double tmp;
if (a <= -5.6e-20) {
tmp = (((double) M_PI) / a) * ((0.5 / b) / a);
} else {
tmp = (((double) M_PI) / (a * b)) / (b / 0.5);
}
return tmp;
}
public static double code(double a, double b) {
double tmp;
if (a <= -5.6e-20) {
tmp = (Math.PI / a) * ((0.5 / b) / a);
} else {
tmp = (Math.PI / (a * b)) / (b / 0.5);
}
return tmp;
}
def code(a, b): tmp = 0 if a <= -5.6e-20: tmp = (math.pi / a) * ((0.5 / b) / a) else: tmp = (math.pi / (a * b)) / (b / 0.5) return tmp
function code(a, b) tmp = 0.0 if (a <= -5.6e-20) tmp = Float64(Float64(pi / a) * Float64(Float64(0.5 / b) / a)); else tmp = Float64(Float64(pi / Float64(a * b)) / Float64(b / 0.5)); end return tmp end
function tmp_2 = code(a, b) tmp = 0.0; if (a <= -5.6e-20) tmp = (pi / a) * ((0.5 / b) / a); else tmp = (pi / (a * b)) / (b / 0.5); end tmp_2 = tmp; end
code[a_, b_] := If[LessEqual[a, -5.6e-20], N[(N[(Pi / a), $MachinePrecision] * N[(N[(0.5 / b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], N[(N[(Pi / N[(a * b), $MachinePrecision]), $MachinePrecision] / N[(b / 0.5), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;a \leq -5.6 \cdot 10^{-20}:\\
\;\;\;\;\frac{\pi}{a} \cdot \frac{\frac{0.5}{b}}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{\pi}{a \cdot b}}{\frac{b}{0.5}}\\
\end{array}
\end{array}
if a < -5.6000000000000005e-20Initial program 86.3%
Taylor expanded in b around 0
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6480.1%
Simplified80.1%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6480.1%
Applied egg-rr80.1%
associate-*l/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f6487.3%
Applied egg-rr87.3%
if -5.6000000000000005e-20 < a Initial program 75.7%
Taylor expanded in b around inf
/-lowering-/.f64N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6455.0%
Simplified55.0%
Taylor expanded in b around inf
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6462.4%
Simplified62.4%
times-fracN/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
associate-/l/N/A
*-commutativeN/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6470.4%
Applied egg-rr70.4%
(FPCore (a b) :precision binary64 (if (<= a -5.1e-20) (* (/ PI a) (/ (/ 0.5 b) a)) (/ (/ 0.5 (* a b)) (/ b PI))))
double code(double a, double b) {
double tmp;
if (a <= -5.1e-20) {
tmp = (((double) M_PI) / a) * ((0.5 / b) / a);
} else {
tmp = (0.5 / (a * b)) / (b / ((double) M_PI));
}
return tmp;
}
public static double code(double a, double b) {
double tmp;
if (a <= -5.1e-20) {
tmp = (Math.PI / a) * ((0.5 / b) / a);
} else {
tmp = (0.5 / (a * b)) / (b / Math.PI);
}
return tmp;
}
def code(a, b): tmp = 0 if a <= -5.1e-20: tmp = (math.pi / a) * ((0.5 / b) / a) else: tmp = (0.5 / (a * b)) / (b / math.pi) return tmp
function code(a, b) tmp = 0.0 if (a <= -5.1e-20) tmp = Float64(Float64(pi / a) * Float64(Float64(0.5 / b) / a)); else tmp = Float64(Float64(0.5 / Float64(a * b)) / Float64(b / pi)); end return tmp end
function tmp_2 = code(a, b) tmp = 0.0; if (a <= -5.1e-20) tmp = (pi / a) * ((0.5 / b) / a); else tmp = (0.5 / (a * b)) / (b / pi); end tmp_2 = tmp; end
code[a_, b_] := If[LessEqual[a, -5.1e-20], N[(N[(Pi / a), $MachinePrecision] * N[(N[(0.5 / b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 / N[(a * b), $MachinePrecision]), $MachinePrecision] / N[(b / Pi), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;a \leq -5.1 \cdot 10^{-20}:\\
\;\;\;\;\frac{\pi}{a} \cdot \frac{\frac{0.5}{b}}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{0.5}{a \cdot b}}{\frac{b}{\pi}}\\
\end{array}
\end{array}
if a < -5.10000000000000019e-20Initial program 86.3%
Taylor expanded in b around 0
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6480.1%
Simplified80.1%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6480.1%
Applied egg-rr80.1%
associate-*l/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f6487.3%
Applied egg-rr87.3%
if -5.10000000000000019e-20 < a Initial program 75.7%
Taylor expanded in b around inf
/-lowering-/.f64N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6455.0%
Simplified55.0%
times-fracN/A
clear-numN/A
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f6463.1%
Applied egg-rr63.1%
Taylor expanded in b around inf
/-lowering-/.f64N/A
*-lowering-*.f6470.4%
Simplified70.4%
(FPCore (a b) :precision binary64 (if (<= a -4.5e-20) (* (/ PI a) (/ (/ 0.5 b) a)) (* PI (/ (/ 0.5 (* a b)) b))))
double code(double a, double b) {
double tmp;
if (a <= -4.5e-20) {
tmp = (((double) M_PI) / a) * ((0.5 / b) / a);
} else {
tmp = ((double) M_PI) * ((0.5 / (a * b)) / b);
}
return tmp;
}
public static double code(double a, double b) {
double tmp;
if (a <= -4.5e-20) {
tmp = (Math.PI / a) * ((0.5 / b) / a);
} else {
tmp = Math.PI * ((0.5 / (a * b)) / b);
}
return tmp;
}
def code(a, b): tmp = 0 if a <= -4.5e-20: tmp = (math.pi / a) * ((0.5 / b) / a) else: tmp = math.pi * ((0.5 / (a * b)) / b) return tmp
function code(a, b) tmp = 0.0 if (a <= -4.5e-20) tmp = Float64(Float64(pi / a) * Float64(Float64(0.5 / b) / a)); else tmp = Float64(pi * Float64(Float64(0.5 / Float64(a * b)) / b)); end return tmp end
function tmp_2 = code(a, b) tmp = 0.0; if (a <= -4.5e-20) tmp = (pi / a) * ((0.5 / b) / a); else tmp = pi * ((0.5 / (a * b)) / b); end tmp_2 = tmp; end
code[a_, b_] := If[LessEqual[a, -4.5e-20], N[(N[(Pi / a), $MachinePrecision] * N[(N[(0.5 / b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], N[(Pi * N[(N[(0.5 / N[(a * b), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;a \leq -4.5 \cdot 10^{-20}:\\
\;\;\;\;\frac{\pi}{a} \cdot \frac{\frac{0.5}{b}}{a}\\
\mathbf{else}:\\
\;\;\;\;\pi \cdot \frac{\frac{0.5}{a \cdot b}}{b}\\
\end{array}
\end{array}
if a < -4.5000000000000001e-20Initial program 86.3%
Taylor expanded in b around 0
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6480.1%
Simplified80.1%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6480.1%
Applied egg-rr80.1%
associate-*l/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f6487.3%
Applied egg-rr87.3%
if -4.5000000000000001e-20 < a Initial program 75.7%
Taylor expanded in b around inf
/-lowering-/.f64N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6455.0%
Simplified55.0%
Taylor expanded in b around inf
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6462.4%
Simplified62.4%
times-fracN/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
associate-/l/N/A
*-commutativeN/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6470.4%
Applied egg-rr70.4%
div-invN/A
div-invN/A
clear-numN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr70.4%
Final simplification74.6%
(FPCore (a b) :precision binary64 (/ (/ PI 2.0) (* (+ a b) (* a b))))
double code(double a, double b) {
return (((double) M_PI) / 2.0) / ((a + b) * (a * b));
}
public static double code(double a, double b) {
return (Math.PI / 2.0) / ((a + b) * (a * b));
}
def code(a, b): return (math.pi / 2.0) / ((a + b) * (a * b))
function code(a, b) return Float64(Float64(pi / 2.0) / Float64(Float64(a + b) * Float64(a * b))) end
function tmp = code(a, b) tmp = (pi / 2.0) / ((a + b) * (a * b)); end
code[a_, b_] := N[(N[(Pi / 2.0), $MachinePrecision] / N[(N[(a + b), $MachinePrecision] * N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}
\end{array}
Initial program 78.3%
un-div-invN/A
difference-of-squaresN/A
associate-/r*N/A
*-rgt-identityN/A
*-lft-identityN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
--lowering--.f6488.6%
Applied egg-rr88.6%
frac-subN/A
associate-*r/N/A
associate-/l/N/A
*-commutativeN/A
difference-of-squaresN/A
*-lft-identityN/A
*-rgt-identityN/A
associate-/r/N/A
flip-+N/A
/-lowering-/.f64N/A
Applied egg-rr99.7%
associate-/r*N/A
div-invN/A
metadata-evalN/A
associate-/l/N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f6499.0%
Applied egg-rr99.0%
Final simplification99.0%
(FPCore (a b) :precision binary64 (* PI (/ 0.5 (* (+ a b) (* a b)))))
double code(double a, double b) {
return ((double) M_PI) * (0.5 / ((a + b) * (a * b)));
}
public static double code(double a, double b) {
return Math.PI * (0.5 / ((a + b) * (a * b)));
}
def code(a, b): return math.pi * (0.5 / ((a + b) * (a * b)))
function code(a, b) return Float64(pi * Float64(0.5 / Float64(Float64(a + b) * Float64(a * b)))) end
function tmp = code(a, b) tmp = pi * (0.5 / ((a + b) * (a * b))); end
code[a_, b_] := N[(Pi * N[(0.5 / N[(N[(a + b), $MachinePrecision] * N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\pi \cdot \frac{0.5}{\left(a + b\right) \cdot \left(a \cdot b\right)}
\end{array}
Initial program 78.3%
un-div-invN/A
difference-of-squaresN/A
associate-/r*N/A
*-rgt-identityN/A
*-lft-identityN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
--lowering--.f6488.6%
Applied egg-rr88.6%
frac-subN/A
associate-*r/N/A
associate-/l/N/A
*-commutativeN/A
difference-of-squaresN/A
*-lft-identityN/A
*-rgt-identityN/A
associate-/r/N/A
flip-+N/A
/-lowering-/.f64N/A
Applied egg-rr99.7%
associate-/r*N/A
div-invN/A
metadata-evalN/A
associate-/l/N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f6499.0%
Applied egg-rr99.0%
div-invN/A
metadata-evalN/A
associate-/l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
PI-lowering-PI.f6499.0%
Applied egg-rr99.0%
Final simplification99.0%
(FPCore (a b) :precision binary64 (* (/ PI a) (/ (/ 0.5 b) a)))
double code(double a, double b) {
return (((double) M_PI) / a) * ((0.5 / b) / a);
}
public static double code(double a, double b) {
return (Math.PI / a) * ((0.5 / b) / a);
}
def code(a, b): return (math.pi / a) * ((0.5 / b) / a)
function code(a, b) return Float64(Float64(pi / a) * Float64(Float64(0.5 / b) / a)) end
function tmp = code(a, b) tmp = (pi / a) * ((0.5 / b) / a); end
code[a_, b_] := N[(N[(Pi / a), $MachinePrecision] * N[(N[(0.5 / b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{a} \cdot \frac{\frac{0.5}{b}}{a}
\end{array}
Initial program 78.3%
Taylor expanded in b around 0
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6456.2%
Simplified56.2%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6456.2%
Applied egg-rr56.2%
associate-*l/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f6462.5%
Applied egg-rr62.5%
herbie shell --seed 2024139
(FPCore (a b)
:name "NMSE Section 6.1 mentioned, B"
:precision binary64
(* (* (/ PI 2.0) (/ 1.0 (- (* b b) (* a a)))) (- (/ 1.0 a) (/ 1.0 b))))