
(FPCore (u s)
:precision binary32
(let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ PI s))))))
(*
(- s)
(log
(-
(/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 (exp (/ (- PI) s)))) t_0)) t_0))
1.0)))))
float code(float u, float s) {
float t_0 = 1.0f / (1.0f + expf((((float) M_PI) / s)));
return -s * logf(((1.0f / ((u * ((1.0f / (1.0f + expf((-((float) M_PI) / s)))) - t_0)) + t_0)) - 1.0f));
}
function code(u, s) t_0 = Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(pi) / s)))) return Float32(Float32(-s) * log(Float32(Float32(Float32(1.0) / Float32(Float32(u * Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(-Float32(pi)) / s)))) - t_0)) + t_0)) - Float32(1.0)))) end
function tmp = code(u, s) t_0 = single(1.0) / (single(1.0) + exp((single(pi) / s))); tmp = -s * log(((single(1.0) / ((u * ((single(1.0) / (single(1.0) + exp((-single(pi) / s)))) - t_0)) + t_0)) - single(1.0))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\pi}{s}}}\\
\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\pi}{s}}} - t\_0\right) + t\_0} - 1\right)
\end{array}
\end{array}
Sampling outcomes in binary32 precision:
Herbie found 7 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (u s)
:precision binary32
(let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ PI s))))))
(*
(- s)
(log
(-
(/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 (exp (/ (- PI) s)))) t_0)) t_0))
1.0)))))
float code(float u, float s) {
float t_0 = 1.0f / (1.0f + expf((((float) M_PI) / s)));
return -s * logf(((1.0f / ((u * ((1.0f / (1.0f + expf((-((float) M_PI) / s)))) - t_0)) + t_0)) - 1.0f));
}
function code(u, s) t_0 = Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(pi) / s)))) return Float32(Float32(-s) * log(Float32(Float32(Float32(1.0) / Float32(Float32(u * Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(-Float32(pi)) / s)))) - t_0)) + t_0)) - Float32(1.0)))) end
function tmp = code(u, s) t_0 = single(1.0) / (single(1.0) + exp((single(pi) / s))); tmp = -s * log(((single(1.0) / ((u * ((single(1.0) / (single(1.0) + exp((-single(pi) / s)))) - t_0)) + t_0)) - single(1.0))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\pi}{s}}}\\
\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\pi}{s}}} - t\_0\right) + t\_0} - 1\right)
\end{array}
\end{array}
(FPCore (u s)
:precision binary32
(let* ((t_0 (+ (exp (/ PI s)) 1.0))
(t_1 (/ 1.0 t_0))
(t_2 (* (- (/ 1.0 (+ (pow (exp -1.0) (/ PI s)) 1.0)) t_1) u))
(t_3 (* t_2 t_2))
(t_4 (/ -1.0 t_0)))
(*
(* -1.0 s)
(log
(-
(/
1.0
(/
(fma t_2 t_3 (/ 1.0 (pow t_0 3.0)))
(+ t_3 (- (* t_4 t_4) (* t_2 t_1)))))
1.0)))))
float code(float u, float s) {
float t_0 = expf((((float) M_PI) / s)) + 1.0f;
float t_1 = 1.0f / t_0;
float t_2 = ((1.0f / (powf(expf(-1.0f), (((float) M_PI) / s)) + 1.0f)) - t_1) * u;
float t_3 = t_2 * t_2;
float t_4 = -1.0f / t_0;
return (-1.0f * s) * logf(((1.0f / (fmaf(t_2, t_3, (1.0f / powf(t_0, 3.0f))) / (t_3 + ((t_4 * t_4) - (t_2 * t_1))))) - 1.0f));
}
function code(u, s) t_0 = Float32(exp(Float32(Float32(pi) / s)) + Float32(1.0)) t_1 = Float32(Float32(1.0) / t_0) t_2 = Float32(Float32(Float32(Float32(1.0) / Float32((exp(Float32(-1.0)) ^ Float32(Float32(pi) / s)) + Float32(1.0))) - t_1) * u) t_3 = Float32(t_2 * t_2) t_4 = Float32(Float32(-1.0) / t_0) return Float32(Float32(Float32(-1.0) * s) * log(Float32(Float32(Float32(1.0) / Float32(fma(t_2, t_3, Float32(Float32(1.0) / (t_0 ^ Float32(3.0)))) / Float32(t_3 + Float32(Float32(t_4 * t_4) - Float32(t_2 * t_1))))) - Float32(1.0)))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{\frac{\pi}{s}} + 1\\
t_1 := \frac{1}{t\_0}\\
t_2 := \left(\frac{1}{{\left(e^{-1}\right)}^{\left(\frac{\pi}{s}\right)} + 1} - t\_1\right) \cdot u\\
t_3 := t\_2 \cdot t\_2\\
t_4 := \frac{-1}{t\_0}\\
\left(-1 \cdot s\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(t\_2, t\_3, \frac{1}{{t\_0}^{3}}\right)}{t\_3 + \left(t\_4 \cdot t\_4 - t\_2 \cdot t\_1\right)}} - 1\right)
\end{array}
\end{array}
Initial program 98.9%
Applied rewrites98.8%
Applied rewrites99.0%
Final simplification99.0%
(FPCore (u s)
:precision binary32
(let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ PI s))))))
(*
(* -1.0 s)
(log
(-
(/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 (exp (* -1.0 (/ PI s))))) t_0)) t_0))
1.0)))))
float code(float u, float s) {
float t_0 = 1.0f / (1.0f + expf((((float) M_PI) / s)));
return (-1.0f * s) * logf(((1.0f / ((u * ((1.0f / (1.0f + expf((-1.0f * (((float) M_PI) / s))))) - t_0)) + t_0)) - 1.0f));
}
function code(u, s) t_0 = Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(pi) / s)))) return Float32(Float32(Float32(-1.0) * s) * log(Float32(Float32(Float32(1.0) / Float32(Float32(u * Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(-1.0) * Float32(Float32(pi) / s))))) - t_0)) + t_0)) - Float32(1.0)))) end
function tmp = code(u, s) t_0 = single(1.0) / (single(1.0) + exp((single(pi) / s))); tmp = (single(-1.0) * s) * log(((single(1.0) / ((u * ((single(1.0) / (single(1.0) + exp((single(-1.0) * (single(pi) / s))))) - t_0)) + t_0)) - single(1.0))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\pi}{s}}}\\
\left(-1 \cdot s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\pi}{s}}} - t\_0\right) + t\_0} - 1\right)
\end{array}
\end{array}
Initial program 98.9%
Final simplification98.9%
(FPCore (u s)
:precision binary32
(let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ PI s)))))
(t_1 (fma u (- (/ 1.0 (+ 1.0 (pow (exp -1.0) (/ PI s)))) t_0) t_0)))
(*
(* -1.0 s)
(log (/ (- (pow t_1 -3.0) 1.0) (+ 1.0 (+ (/ 1.0 t_1) (pow t_1 -2.0))))))))
float code(float u, float s) {
float t_0 = 1.0f / (1.0f + expf((((float) M_PI) / s)));
float t_1 = fmaf(u, ((1.0f / (1.0f + powf(expf(-1.0f), (((float) M_PI) / s)))) - t_0), t_0);
return (-1.0f * s) * logf(((powf(t_1, -3.0f) - 1.0f) / (1.0f + ((1.0f / t_1) + powf(t_1, -2.0f)))));
}
function code(u, s) t_0 = Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(pi) / s)))) t_1 = fma(u, Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + (exp(Float32(-1.0)) ^ Float32(Float32(pi) / s)))) - t_0), t_0) return Float32(Float32(Float32(-1.0) * s) * log(Float32(Float32((t_1 ^ Float32(-3.0)) - Float32(1.0)) / Float32(Float32(1.0) + Float32(Float32(Float32(1.0) / t_1) + (t_1 ^ Float32(-2.0))))))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\pi}{s}}}\\
t_1 := \mathsf{fma}\left(u, \frac{1}{1 + {\left(e^{-1}\right)}^{\left(\frac{\pi}{s}\right)}} - t\_0, t\_0\right)\\
\left(-1 \cdot s\right) \cdot \log \left(\frac{{t\_1}^{-3} - 1}{1 + \left(\frac{1}{t\_1} + {t\_1}^{-2}\right)}\right)
\end{array}
\end{array}
Initial program 98.9%
Applied rewrites97.2%
Taylor expanded in s around 0
Applied rewrites98.9%
Final simplification98.9%
(FPCore (u s)
:precision binary32
(let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ PI s)))))
(t_1 (fma u (- (/ 1.0 (+ 1.0 (pow (exp -1.0) (/ PI s)))) t_0) t_0)))
(* (* -1.0 s) (- (log (- (pow t_1 -2.0) 1.0)) (log1p (/ 1.0 t_1))))))
float code(float u, float s) {
float t_0 = 1.0f / (1.0f + expf((((float) M_PI) / s)));
float t_1 = fmaf(u, ((1.0f / (1.0f + powf(expf(-1.0f), (((float) M_PI) / s)))) - t_0), t_0);
return (-1.0f * s) * (logf((powf(t_1, -2.0f) - 1.0f)) - log1pf((1.0f / t_1)));
}
function code(u, s) t_0 = Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(pi) / s)))) t_1 = fma(u, Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + (exp(Float32(-1.0)) ^ Float32(Float32(pi) / s)))) - t_0), t_0) return Float32(Float32(Float32(-1.0) * s) * Float32(log(Float32((t_1 ^ Float32(-2.0)) - Float32(1.0))) - log1p(Float32(Float32(1.0) / t_1)))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\pi}{s}}}\\
t_1 := \mathsf{fma}\left(u, \frac{1}{1 + {\left(e^{-1}\right)}^{\left(\frac{\pi}{s}\right)}} - t\_0, t\_0\right)\\
\left(-1 \cdot s\right) \cdot \left(\log \left({t\_1}^{-2} - 1\right) - \mathsf{log1p}\left(\frac{1}{t\_1}\right)\right)
\end{array}
\end{array}
Initial program 98.9%
Applied rewrites98.2%
Taylor expanded in s around 0
Applied rewrites98.3%
Final simplification98.3%
(FPCore (u s)
:precision binary32
(let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ PI s)))))
(t_1 (fma u (- (/ 1.0 (+ 1.0 (pow (exp -1.0) (/ PI s)))) t_0) t_0))
(t_2 (log1p (+ (/ 1.0 t_1) (pow t_1 -2.0))))
(t_3 (fma u (- (/ 1.0 (+ 1.0 (exp (* -1.0 (/ PI s))))) t_0) t_0))
(t_4 (log (- (/ 1.0 (pow t_3 3.0)) 1.0)))
(t_5 (log1p (+ (/ 1.0 t_3) (/ 1.0 (pow t_3 2.0))))))
(*
-1.0
(/
(* s (- (pow t_4 3.0) (* (* t_2 t_2) t_2)))
(fma t_5 t_4 (+ (pow t_5 2.0) (pow t_4 2.0)))))))
float code(float u, float s) {
float t_0 = 1.0f / (1.0f + expf((((float) M_PI) / s)));
float t_1 = fmaf(u, ((1.0f / (1.0f + powf(expf(-1.0f), (((float) M_PI) / s)))) - t_0), t_0);
float t_2 = log1pf(((1.0f / t_1) + powf(t_1, -2.0f)));
float t_3 = fmaf(u, ((1.0f / (1.0f + expf((-1.0f * (((float) M_PI) / s))))) - t_0), t_0);
float t_4 = logf(((1.0f / powf(t_3, 3.0f)) - 1.0f));
float t_5 = log1pf(((1.0f / t_3) + (1.0f / powf(t_3, 2.0f))));
return -1.0f * ((s * (powf(t_4, 3.0f) - ((t_2 * t_2) * t_2))) / fmaf(t_5, t_4, (powf(t_5, 2.0f) + powf(t_4, 2.0f))));
}
function code(u, s) t_0 = Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(pi) / s)))) t_1 = fma(u, Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + (exp(Float32(-1.0)) ^ Float32(Float32(pi) / s)))) - t_0), t_0) t_2 = log1p(Float32(Float32(Float32(1.0) / t_1) + (t_1 ^ Float32(-2.0)))) t_3 = fma(u, Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(-1.0) * Float32(Float32(pi) / s))))) - t_0), t_0) t_4 = log(Float32(Float32(Float32(1.0) / (t_3 ^ Float32(3.0))) - Float32(1.0))) t_5 = log1p(Float32(Float32(Float32(1.0) / t_3) + Float32(Float32(1.0) / (t_3 ^ Float32(2.0))))) return Float32(Float32(-1.0) * Float32(Float32(s * Float32((t_4 ^ Float32(3.0)) - Float32(Float32(t_2 * t_2) * t_2))) / fma(t_5, t_4, Float32((t_5 ^ Float32(2.0)) + (t_4 ^ Float32(2.0)))))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\pi}{s}}}\\
t_1 := \mathsf{fma}\left(u, \frac{1}{1 + {\left(e^{-1}\right)}^{\left(\frac{\pi}{s}\right)}} - t\_0, t\_0\right)\\
t_2 := \mathsf{log1p}\left(\frac{1}{t\_1} + {t\_1}^{-2}\right)\\
t_3 := \mathsf{fma}\left(u, \frac{1}{1 + e^{-1 \cdot \frac{\pi}{s}}} - t\_0, t\_0\right)\\
t_4 := \log \left(\frac{1}{{t\_3}^{3}} - 1\right)\\
t_5 := \mathsf{log1p}\left(\frac{1}{t\_3} + \frac{1}{{t\_3}^{2}}\right)\\
-1 \cdot \frac{s \cdot \left({t\_4}^{3} - \left(t\_2 \cdot t\_2\right) \cdot t\_2\right)}{\mathsf{fma}\left(t\_5, t\_4, {t\_5}^{2} + {t\_4}^{2}\right)}
\end{array}
\end{array}
Initial program 98.9%
Applied rewrites98.9%
Applied rewrites96.9%
Taylor expanded in s around 0
Applied rewrites97.0%
Applied rewrites97.0%
(FPCore (u s)
:precision binary32
(let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ PI s)))))
(t_1 (fma u (- (/ 1.0 (+ 1.0 (exp (* -1.0 (/ PI s))))) t_0) t_0))
(t_2 (log1p (+ (/ 1.0 t_1) (/ 1.0 (pow t_1 2.0)))))
(t_3
(log
(-
(pow
(fma u (- (/ 1.0 (+ 1.0 (pow (exp -1.0) (/ PI s)))) t_0) t_0)
-3.0)
1.0)))
(t_4 (log (- (/ 1.0 (pow t_1 3.0)) 1.0))))
(*
-1.0
(/
(* s (- (* (* t_3 t_3) t_3) (pow t_2 3.0)))
(fma t_2 t_4 (+ (pow t_2 2.0) (pow t_4 2.0)))))))
float code(float u, float s) {
float t_0 = 1.0f / (1.0f + expf((((float) M_PI) / s)));
float t_1 = fmaf(u, ((1.0f / (1.0f + expf((-1.0f * (((float) M_PI) / s))))) - t_0), t_0);
float t_2 = log1pf(((1.0f / t_1) + (1.0f / powf(t_1, 2.0f))));
float t_3 = logf((powf(fmaf(u, ((1.0f / (1.0f + powf(expf(-1.0f), (((float) M_PI) / s)))) - t_0), t_0), -3.0f) - 1.0f));
float t_4 = logf(((1.0f / powf(t_1, 3.0f)) - 1.0f));
return -1.0f * ((s * (((t_3 * t_3) * t_3) - powf(t_2, 3.0f))) / fmaf(t_2, t_4, (powf(t_2, 2.0f) + powf(t_4, 2.0f))));
}
function code(u, s) t_0 = Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(pi) / s)))) t_1 = fma(u, Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(-1.0) * Float32(Float32(pi) / s))))) - t_0), t_0) t_2 = log1p(Float32(Float32(Float32(1.0) / t_1) + Float32(Float32(1.0) / (t_1 ^ Float32(2.0))))) t_3 = log(Float32((fma(u, Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + (exp(Float32(-1.0)) ^ Float32(Float32(pi) / s)))) - t_0), t_0) ^ Float32(-3.0)) - Float32(1.0))) t_4 = log(Float32(Float32(Float32(1.0) / (t_1 ^ Float32(3.0))) - Float32(1.0))) return Float32(Float32(-1.0) * Float32(Float32(s * Float32(Float32(Float32(t_3 * t_3) * t_3) - (t_2 ^ Float32(3.0)))) / fma(t_2, t_4, Float32((t_2 ^ Float32(2.0)) + (t_4 ^ Float32(2.0)))))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\pi}{s}}}\\
t_1 := \mathsf{fma}\left(u, \frac{1}{1 + e^{-1 \cdot \frac{\pi}{s}}} - t\_0, t\_0\right)\\
t_2 := \mathsf{log1p}\left(\frac{1}{t\_1} + \frac{1}{{t\_1}^{2}}\right)\\
t_3 := \log \left({\left(\mathsf{fma}\left(u, \frac{1}{1 + {\left(e^{-1}\right)}^{\left(\frac{\pi}{s}\right)}} - t\_0, t\_0\right)\right)}^{-3} - 1\right)\\
t_4 := \log \left(\frac{1}{{t\_1}^{3}} - 1\right)\\
-1 \cdot \frac{s \cdot \left(\left(t\_3 \cdot t\_3\right) \cdot t\_3 - {t\_2}^{3}\right)}{\mathsf{fma}\left(t\_2, t\_4, {t\_2}^{2} + {t\_4}^{2}\right)}
\end{array}
\end{array}
Initial program 98.9%
Applied rewrites98.9%
Applied rewrites96.9%
Taylor expanded in s around 0
Applied rewrites97.0%
Applied rewrites96.8%
(FPCore (u s)
:precision binary32
(let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ PI s)))))
(t_1 (fma u (- (/ 1.0 (+ 1.0 (exp (* -1.0 (/ PI s))))) t_0) t_0))
(t_2 (log (- (/ 1.0 (pow t_1 3.0)) 1.0)))
(t_3 (log1p (+ (/ 1.0 t_1) (/ 1.0 (pow t_1 2.0))))))
(/
(*
s
(+
(exp
(*
(log
(log
(-
(pow
(fma u (- (/ 1.0 (+ 1.0 (pow (exp -1.0) (/ PI s)))) t_0) t_0)
-3.0)
1.0)))
3.0))
(* -1.0 (pow t_3 3.0))))
(* -1.0 (fma t_3 t_2 (+ (pow t_3 2.0) (pow t_2 2.0)))))))
float code(float u, float s) {
float t_0 = 1.0f / (1.0f + expf((((float) M_PI) / s)));
float t_1 = fmaf(u, ((1.0f / (1.0f + expf((-1.0f * (((float) M_PI) / s))))) - t_0), t_0);
float t_2 = logf(((1.0f / powf(t_1, 3.0f)) - 1.0f));
float t_3 = log1pf(((1.0f / t_1) + (1.0f / powf(t_1, 2.0f))));
return (s * (expf((logf(logf((powf(fmaf(u, ((1.0f / (1.0f + powf(expf(-1.0f), (((float) M_PI) / s)))) - t_0), t_0), -3.0f) - 1.0f))) * 3.0f)) + (-1.0f * powf(t_3, 3.0f)))) / (-1.0f * fmaf(t_3, t_2, (powf(t_3, 2.0f) + powf(t_2, 2.0f))));
}
function code(u, s) t_0 = Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(pi) / s)))) t_1 = fma(u, Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(-1.0) * Float32(Float32(pi) / s))))) - t_0), t_0) t_2 = log(Float32(Float32(Float32(1.0) / (t_1 ^ Float32(3.0))) - Float32(1.0))) t_3 = log1p(Float32(Float32(Float32(1.0) / t_1) + Float32(Float32(1.0) / (t_1 ^ Float32(2.0))))) return Float32(Float32(s * Float32(exp(Float32(log(log(Float32((fma(u, Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + (exp(Float32(-1.0)) ^ Float32(Float32(pi) / s)))) - t_0), t_0) ^ Float32(-3.0)) - Float32(1.0)))) * Float32(3.0))) + Float32(Float32(-1.0) * (t_3 ^ Float32(3.0))))) / Float32(Float32(-1.0) * fma(t_3, t_2, Float32((t_3 ^ Float32(2.0)) + (t_2 ^ Float32(2.0)))))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\pi}{s}}}\\
t_1 := \mathsf{fma}\left(u, \frac{1}{1 + e^{-1 \cdot \frac{\pi}{s}}} - t\_0, t\_0\right)\\
t_2 := \log \left(\frac{1}{{t\_1}^{3}} - 1\right)\\
t_3 := \mathsf{log1p}\left(\frac{1}{t\_1} + \frac{1}{{t\_1}^{2}}\right)\\
\frac{s \cdot \left(e^{\log \log \left({\left(\mathsf{fma}\left(u, \frac{1}{1 + {\left(e^{-1}\right)}^{\left(\frac{\pi}{s}\right)}} - t\_0, t\_0\right)\right)}^{-3} - 1\right) \cdot 3} + -1 \cdot {t\_3}^{3}\right)}{-1 \cdot \mathsf{fma}\left(t\_3, t\_2, {t\_3}^{2} + {t\_2}^{2}\right)}
\end{array}
\end{array}
Initial program 98.9%
Applied rewrites98.9%
Applied rewrites96.9%
Taylor expanded in s around 0
Applied rewrites97.0%
Applied rewrites91.7%
Final simplification91.7%
herbie shell --seed 2025065
(FPCore (u s)
:name "Sample trimmed logistic on [-pi, pi]"
:precision binary32
:pre (and (and (<= 2.328306437e-10 u) (<= u 1.0)) (and (<= 0.0 s) (<= s 1.0651631)))
(* (- s) (log (- (/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 (exp (/ (- PI) s)))) (/ 1.0 (+ 1.0 (exp (/ PI s)))))) (/ 1.0 (+ 1.0 (exp (/ PI s)))))) 1.0))))