?

Average Error: 14.83% → 0.19%
Time: 37.9s
Precision: binary64

?

\[\left(x \cdot \log y + z \cdot \log \left(1 - y\right)\right) - t \]
\[\mathsf{fma}\left(\mathsf{log1p}\left(-y\right), z, \log y \cdot x\right) - t \]
(FPCore (x y z t)
 :precision binary64
 (- (+ (* x (log y)) (* z (log (- 1.0 y)))) t))
(FPCore (x y z t)
 :precision binary64
 (- (fma (log1p (- y)) z (* (log y) x)) t))
double code(double x, double y, double z, double t) {
	return ((x * log(y)) + (z * log((1.0 - y)))) - t;
}
double code(double x, double y, double z, double t) {
	return fma(log1p(-y), z, (log(y) * x)) - t;
}
function code(x, y, z, t)
	return Float64(Float64(Float64(x * log(y)) + Float64(z * log(Float64(1.0 - y)))) - t)
end
function code(x, y, z, t)
	return Float64(fma(log1p(Float64(-y)), z, Float64(log(y) * x)) - t)
end
code[x_, y_, z_, t_] := N[(N[(N[(x * N[Log[y], $MachinePrecision]), $MachinePrecision] + N[(z * N[Log[N[(1.0 - y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t), $MachinePrecision]
code[x_, y_, z_, t_] := N[(N[(N[Log[1 + (-y)], $MachinePrecision] * z + N[(N[Log[y], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] - t), $MachinePrecision]
\left(x \cdot \log y + z \cdot \log \left(1 - y\right)\right) - t
\mathsf{fma}\left(\mathsf{log1p}\left(-y\right), z, \log y \cdot x\right) - t

Error?

Target

Original14.83%
Target0.41%
Herbie0.19%
\[\left(-z\right) \cdot \left(\left(0.5 \cdot \left(y \cdot y\right) + y\right) + \frac{0.3333333333333333}{1 \cdot \left(1 \cdot 1\right)} \cdot \left(y \cdot \left(y \cdot y\right)\right)\right) - \left(t - x \cdot \log y\right) \]

Derivation?

  1. Initial program 14.83

    \[\left(x \cdot \log y + z \cdot \log \left(1 - y\right)\right) - t \]
  2. Simplified0.19

    \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{log1p}\left(-y\right), z, \log y \cdot x\right) - t} \]
    Proof

Reproduce?

herbie shell --seed 2023136 
(FPCore (x y z t)
  :name "Numeric.SpecFunctions:invIncompleteBetaWorker from math-functions-0.1.5.2, B"
  :precision binary64

  :herbie-target
  (- (* (- z) (+ (+ (* 0.5 (* y y)) y) (* (/ 0.3333333333333333 (* 1.0 (* 1.0 1.0))) (* y (* y y))))) (- t (* x (log y))))

  (- (+ (* x (log y)) (* z (log (- 1.0 y)))) t))