
(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 5 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 (+ a b)) 2.0) (/ 1.0 (* a b))))
double code(double a, double b) {
return ((((double) M_PI) / (a + b)) / 2.0) * (1.0 / (a * b));
}
public static double code(double a, double b) {
return ((Math.PI / (a + b)) / 2.0) * (1.0 / (a * b));
}
def code(a, b): return ((math.pi / (a + b)) / 2.0) * (1.0 / (a * b))
function code(a, b) return Float64(Float64(Float64(pi / Float64(a + b)) / 2.0) * Float64(1.0 / Float64(a * b))) end
function tmp = code(a, b) tmp = ((pi / (a + b)) / 2.0) * (1.0 / (a * b)); end
code[a_, b_] := N[(N[(N[(Pi / N[(a + b), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] * N[(1.0 / N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\pi}{a + b}}{2} \cdot \frac{1}{a \cdot b}
\end{array}
Initial program 78.4%
inv-pow78.4%
difference-of-squares87.4%
unpow-prod-down88.1%
inv-pow88.1%
inv-pow88.1%
Applied egg-rr88.1%
associate-*r/88.2%
*-rgt-identity88.2%
+-commutative88.2%
Simplified88.2%
pow188.2%
frac-times88.2%
+-commutative88.2%
div-inv88.3%
+-commutative88.3%
inv-pow88.3%
inv-pow88.3%
Applied egg-rr88.3%
unpow188.3%
associate-*l/99.6%
unpow-199.6%
unpow-199.6%
Simplified99.6%
times-frac99.6%
Applied egg-rr99.6%
Taylor expanded in a around 0 99.6%
Final simplification99.6%
(FPCore (a b) :precision binary64 (if (<= b 2.25e-67) (* (/ PI a) (/ (/ 0.5 b) a)) (/ (/ PI b) (* a (* 2.0 (- b a))))))
double code(double a, double b) {
double tmp;
if (b <= 2.25e-67) {
tmp = (((double) M_PI) / a) * ((0.5 / b) / a);
} else {
tmp = (((double) M_PI) / b) / (a * (2.0 * (b - a)));
}
return tmp;
}
public static double code(double a, double b) {
double tmp;
if (b <= 2.25e-67) {
tmp = (Math.PI / a) * ((0.5 / b) / a);
} else {
tmp = (Math.PI / b) / (a * (2.0 * (b - a)));
}
return tmp;
}
def code(a, b): tmp = 0 if b <= 2.25e-67: tmp = (math.pi / a) * ((0.5 / b) / a) else: tmp = (math.pi / b) / (a * (2.0 * (b - a))) return tmp
function code(a, b) tmp = 0.0 if (b <= 2.25e-67) tmp = Float64(Float64(pi / a) * Float64(Float64(0.5 / b) / a)); else tmp = Float64(Float64(pi / b) / Float64(a * Float64(2.0 * Float64(b - a)))); end return tmp end
function tmp_2 = code(a, b) tmp = 0.0; if (b <= 2.25e-67) tmp = (pi / a) * ((0.5 / b) / a); else tmp = (pi / b) / (a * (2.0 * (b - a))); end tmp_2 = tmp; end
code[a_, b_] := If[LessEqual[b, 2.25e-67], N[(N[(Pi / a), $MachinePrecision] * N[(N[(0.5 / b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], N[(N[(Pi / b), $MachinePrecision] / N[(a * N[(2.0 * N[(b - a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 2.25 \cdot 10^{-67}:\\
\;\;\;\;\frac{\pi}{a} \cdot \frac{\frac{0.5}{b}}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{\pi}{b}}{a \cdot \left(2 \cdot \left(b - a\right)\right)}\\
\end{array}
\end{array}
if b < 2.25000000000000008e-67Initial program 79.6%
inv-pow79.6%
difference-of-squares87.0%
unpow-prod-down88.1%
inv-pow88.1%
inv-pow88.1%
Applied egg-rr88.1%
associate-*r/88.2%
*-rgt-identity88.2%
+-commutative88.2%
Simplified88.2%
pow188.2%
frac-times88.2%
+-commutative88.2%
div-inv88.2%
+-commutative88.2%
inv-pow88.2%
inv-pow88.2%
Applied egg-rr88.2%
unpow188.2%
associate-*l/99.6%
unpow-199.6%
unpow-199.6%
Simplified99.6%
Taylor expanded in a around inf 59.4%
associate-*r/59.4%
*-commutative59.4%
times-frac59.2%
unpow259.2%
Simplified59.2%
associate-*l/59.2%
Applied egg-rr59.2%
times-frac69.1%
Simplified69.1%
if 2.25000000000000008e-67 < b Initial program 75.1%
inv-pow75.1%
difference-of-squares88.3%
unpow-prod-down88.1%
inv-pow88.1%
inv-pow88.1%
Applied egg-rr88.1%
associate-*r/88.2%
*-rgt-identity88.2%
+-commutative88.2%
Simplified88.2%
Taylor expanded in a around 0 82.7%
un-div-inv82.7%
frac-times82.8%
div-inv82.8%
Applied egg-rr82.8%
associate-/l/94.2%
Simplified94.2%
Taylor expanded in a around 0 93.9%
Final simplification75.7%
(FPCore (a b) :precision binary64 (if (<= b 2.9e-24) (* (/ PI a) (/ (/ 0.5 b) a)) (* (/ 0.5 a) (/ PI (* b b)))))
double code(double a, double b) {
double tmp;
if (b <= 2.9e-24) {
tmp = (((double) M_PI) / a) * ((0.5 / b) / a);
} else {
tmp = (0.5 / a) * (((double) M_PI) / (b * b));
}
return tmp;
}
public static double code(double a, double b) {
double tmp;
if (b <= 2.9e-24) {
tmp = (Math.PI / a) * ((0.5 / b) / a);
} else {
tmp = (0.5 / a) * (Math.PI / (b * b));
}
return tmp;
}
def code(a, b): tmp = 0 if b <= 2.9e-24: tmp = (math.pi / a) * ((0.5 / b) / a) else: tmp = (0.5 / a) * (math.pi / (b * b)) return tmp
function code(a, b) tmp = 0.0 if (b <= 2.9e-24) tmp = Float64(Float64(pi / a) * Float64(Float64(0.5 / b) / a)); else tmp = Float64(Float64(0.5 / a) * Float64(pi / Float64(b * b))); end return tmp end
function tmp_2 = code(a, b) tmp = 0.0; if (b <= 2.9e-24) tmp = (pi / a) * ((0.5 / b) / a); else tmp = (0.5 / a) * (pi / (b * b)); end tmp_2 = tmp; end
code[a_, b_] := If[LessEqual[b, 2.9e-24], N[(N[(Pi / a), $MachinePrecision] * N[(N[(0.5 / b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 / a), $MachinePrecision] * N[(Pi / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 2.9 \cdot 10^{-24}:\\
\;\;\;\;\frac{\pi}{a} \cdot \frac{\frac{0.5}{b}}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.5}{a} \cdot \frac{\pi}{b \cdot b}\\
\end{array}
\end{array}
if b < 2.8999999999999999e-24Initial program 79.9%
inv-pow79.9%
difference-of-squares87.2%
unpow-prod-down88.3%
inv-pow88.3%
inv-pow88.3%
Applied egg-rr88.3%
associate-*r/88.4%
*-rgt-identity88.4%
+-commutative88.4%
Simplified88.4%
pow188.4%
frac-times88.4%
+-commutative88.4%
div-inv88.4%
+-commutative88.4%
inv-pow88.4%
inv-pow88.4%
Applied egg-rr88.4%
unpow188.4%
associate-*l/99.6%
unpow-199.6%
unpow-199.6%
Simplified99.6%
Taylor expanded in a around inf 59.5%
associate-*r/59.5%
*-commutative59.5%
times-frac59.3%
unpow259.3%
Simplified59.3%
associate-*l/59.3%
Applied egg-rr59.3%
times-frac69.1%
Simplified69.1%
if 2.8999999999999999e-24 < b Initial program 74.0%
inv-pow74.0%
difference-of-squares87.8%
unpow-prod-down87.6%
inv-pow87.6%
inv-pow87.6%
Applied egg-rr87.6%
associate-*r/87.7%
*-rgt-identity87.7%
+-commutative87.7%
Simplified87.7%
Taylor expanded in a around 0 80.8%
associate-*r/80.8%
times-frac80.8%
unpow280.8%
Simplified80.8%
Final simplification72.1%
(FPCore (a b) :precision binary64 (if (<= b 3.5e-24) (* (/ PI a) (/ (/ 0.5 b) a)) (* (/ 0.5 b) (/ PI (* a b)))))
double code(double a, double b) {
double tmp;
if (b <= 3.5e-24) {
tmp = (((double) M_PI) / a) * ((0.5 / b) / a);
} else {
tmp = (0.5 / b) * (((double) M_PI) / (a * b));
}
return tmp;
}
public static double code(double a, double b) {
double tmp;
if (b <= 3.5e-24) {
tmp = (Math.PI / a) * ((0.5 / b) / a);
} else {
tmp = (0.5 / b) * (Math.PI / (a * b));
}
return tmp;
}
def code(a, b): tmp = 0 if b <= 3.5e-24: tmp = (math.pi / a) * ((0.5 / b) / a) else: tmp = (0.5 / b) * (math.pi / (a * b)) return tmp
function code(a, b) tmp = 0.0 if (b <= 3.5e-24) tmp = Float64(Float64(pi / a) * Float64(Float64(0.5 / b) / a)); else tmp = Float64(Float64(0.5 / b) * Float64(pi / Float64(a * b))); end return tmp end
function tmp_2 = code(a, b) tmp = 0.0; if (b <= 3.5e-24) tmp = (pi / a) * ((0.5 / b) / a); else tmp = (0.5 / b) * (pi / (a * b)); end tmp_2 = tmp; end
code[a_, b_] := If[LessEqual[b, 3.5e-24], N[(N[(Pi / a), $MachinePrecision] * N[(N[(0.5 / b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 / b), $MachinePrecision] * N[(Pi / N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 3.5 \cdot 10^{-24}:\\
\;\;\;\;\frac{\pi}{a} \cdot \frac{\frac{0.5}{b}}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.5}{b} \cdot \frac{\pi}{a \cdot b}\\
\end{array}
\end{array}
if b < 3.4999999999999996e-24Initial program 79.9%
inv-pow79.9%
difference-of-squares87.2%
unpow-prod-down88.3%
inv-pow88.3%
inv-pow88.3%
Applied egg-rr88.3%
associate-*r/88.4%
*-rgt-identity88.4%
+-commutative88.4%
Simplified88.4%
pow188.4%
frac-times88.4%
+-commutative88.4%
div-inv88.4%
+-commutative88.4%
inv-pow88.4%
inv-pow88.4%
Applied egg-rr88.4%
unpow188.4%
associate-*l/99.6%
unpow-199.6%
unpow-199.6%
Simplified99.6%
Taylor expanded in a around inf 59.5%
associate-*r/59.5%
*-commutative59.5%
times-frac59.3%
unpow259.3%
Simplified59.3%
associate-*l/59.3%
Applied egg-rr59.3%
times-frac69.1%
Simplified69.1%
if 3.4999999999999996e-24 < b Initial program 74.0%
inv-pow74.0%
difference-of-squares87.8%
unpow-prod-down87.6%
inv-pow87.6%
inv-pow87.6%
Applied egg-rr87.6%
associate-*r/87.7%
*-rgt-identity87.7%
+-commutative87.7%
Simplified87.7%
pow187.7%
frac-times87.9%
+-commutative87.9%
div-inv87.9%
+-commutative87.9%
inv-pow87.9%
inv-pow87.9%
Applied egg-rr87.9%
unpow187.9%
associate-*l/99.5%
unpow-199.5%
unpow-199.5%
Simplified99.5%
Taylor expanded in a around 0 80.8%
associate-*r/80.8%
*-commutative80.8%
unpow280.8%
associate-*r*92.0%
times-frac92.6%
Simplified92.6%
Final simplification75.1%
(FPCore (a b) :precision binary64 (* (/ 0.5 a) (/ PI (* b b))))
double code(double a, double b) {
return (0.5 / a) * (((double) M_PI) / (b * b));
}
public static double code(double a, double b) {
return (0.5 / a) * (Math.PI / (b * b));
}
def code(a, b): return (0.5 / a) * (math.pi / (b * b))
function code(a, b) return Float64(Float64(0.5 / a) * Float64(pi / Float64(b * b))) end
function tmp = code(a, b) tmp = (0.5 / a) * (pi / (b * b)); end
code[a_, b_] := N[(N[(0.5 / a), $MachinePrecision] * N[(Pi / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5}{a} \cdot \frac{\pi}{b \cdot b}
\end{array}
Initial program 78.4%
inv-pow78.4%
difference-of-squares87.4%
unpow-prod-down88.1%
inv-pow88.1%
inv-pow88.1%
Applied egg-rr88.1%
associate-*r/88.2%
*-rgt-identity88.2%
+-commutative88.2%
Simplified88.2%
Taylor expanded in a around 0 59.3%
associate-*r/59.3%
times-frac59.3%
unpow259.3%
Simplified59.3%
Final simplification59.3%
herbie shell --seed 2023279
(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))))