Average Error: 0.1 → 0.1
Time: 16.3s
Precision: binary64
Cost: 19904
\[\left(\left(x - \left(y + 0.5\right) \cdot \log y\right) + y\right) - z \]
\[\left(x + \left(\mathsf{expm1}\left(\mathsf{log1p}\left(y\right)\right) + \log y \cdot \left(-0.5 - y\right)\right)\right) - z \]
(FPCore (x y z) :precision binary64 (- (+ (- x (* (+ y 0.5) (log y))) y) z))
(FPCore (x y z)
 :precision binary64
 (- (+ x (+ (expm1 (log1p y)) (* (log y) (- -0.5 y)))) z))
double code(double x, double y, double z) {
	return ((x - ((y + 0.5) * log(y))) + y) - z;
}
double code(double x, double y, double z) {
	return (x + (expm1(log1p(y)) + (log(y) * (-0.5 - y)))) - z;
}
public static double code(double x, double y, double z) {
	return ((x - ((y + 0.5) * Math.log(y))) + y) - z;
}
public static double code(double x, double y, double z) {
	return (x + (Math.expm1(Math.log1p(y)) + (Math.log(y) * (-0.5 - y)))) - z;
}
def code(x, y, z):
	return ((x - ((y + 0.5) * math.log(y))) + y) - z
def code(x, y, z):
	return (x + (math.expm1(math.log1p(y)) + (math.log(y) * (-0.5 - y)))) - z
function code(x, y, z)
	return Float64(Float64(Float64(x - Float64(Float64(y + 0.5) * log(y))) + y) - z)
end
function code(x, y, z)
	return Float64(Float64(x + Float64(expm1(log1p(y)) + Float64(log(y) * Float64(-0.5 - y)))) - z)
end
code[x_, y_, z_] := N[(N[(N[(x - N[(N[(y + 0.5), $MachinePrecision] * N[Log[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + y), $MachinePrecision] - z), $MachinePrecision]
code[x_, y_, z_] := N[(N[(x + N[(N[(Exp[N[Log[1 + y], $MachinePrecision]] - 1), $MachinePrecision] + N[(N[Log[y], $MachinePrecision] * N[(-0.5 - y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - z), $MachinePrecision]
\left(\left(x - \left(y + 0.5\right) \cdot \log y\right) + y\right) - z
\left(x + \left(\mathsf{expm1}\left(\mathsf{log1p}\left(y\right)\right) + \log y \cdot \left(-0.5 - y\right)\right)\right) - z

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.1
Target0.1
Herbie0.1
\[\left(\left(y + x\right) - z\right) - \left(y + 0.5\right) \cdot \log y \]

Derivation

  1. Initial program 0.1

    \[\left(\left(x - \left(y + 0.5\right) \cdot \log y\right) + y\right) - z \]
  2. Simplified0.1

    \[\leadsto \color{blue}{\left(x - \left(\left(y + 0.5\right) \cdot \log y - y\right)\right) - z} \]
    Proof

    [Start]0.1

    \[ \left(\left(x - \left(y + 0.5\right) \cdot \log y\right) + y\right) - z \]

    associate-+l- [=>]0.1

    \[ \color{blue}{\left(x - \left(\left(y + 0.5\right) \cdot \log y - y\right)\right)} - z \]
  3. Applied egg-rr0.1

    \[\leadsto \left(x - \color{blue}{\left(\left(\left(y + 0.5\right) \cdot \log y - e^{\mathsf{log1p}\left(y\right)}\right) + 1\right)}\right) - z \]
  4. Simplified0.1

    \[\leadsto \left(x - \color{blue}{\left(\log y \cdot \left(0.5 + y\right) - \left(e^{\mathsf{log1p}\left(y\right)} - 1\right)\right)}\right) - z \]
    Proof

    [Start]0.1

    \[ \left(x - \left(\left(\left(y + 0.5\right) \cdot \log y - e^{\mathsf{log1p}\left(y\right)}\right) + 1\right)\right) - z \]

    associate-+l- [=>]0.1

    \[ \left(x - \color{blue}{\left(\left(y + 0.5\right) \cdot \log y - \left(e^{\mathsf{log1p}\left(y\right)} - 1\right)\right)}\right) - z \]

    *-commutative [=>]0.1

    \[ \left(x - \left(\color{blue}{\log y \cdot \left(y + 0.5\right)} - \left(e^{\mathsf{log1p}\left(y\right)} - 1\right)\right)\right) - z \]

    +-commutative [<=]0.1

    \[ \left(x - \left(\log y \cdot \color{blue}{\left(0.5 + y\right)} - \left(e^{\mathsf{log1p}\left(y\right)} - 1\right)\right)\right) - z \]
  5. Applied egg-rr0.1

    \[\leadsto \left(x - \left(\log y \cdot \left(0.5 + y\right) - \color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left(y\right)\right)}\right)\right) - z \]
  6. Final simplification0.1

    \[\leadsto \left(x + \left(\mathsf{expm1}\left(\mathsf{log1p}\left(y\right)\right) + \log y \cdot \left(-0.5 - y\right)\right)\right) - z \]

Alternatives

Alternative 1
Error0.1
Cost13376
\[x + \mathsf{fma}\left(\log y, -0.5 - y, y - z\right) \]
Alternative 2
Error21.9
Cost7514
\[\begin{array}{l} \mathbf{if}\;y \leq 4.3 \cdot 10^{-107}:\\ \;\;\;\;x + \log y \cdot -0.5\\ \mathbf{elif}\;y \leq 10500000000 \lor \neg \left(y \leq 10^{+18}\right) \land \left(y \leq 3.9 \cdot 10^{+46} \lor \neg \left(y \leq 2.2 \cdot 10^{+82}\right) \land y \leq 4.4 \cdot 10^{+108}\right):\\ \;\;\;\;x - z\\ \mathbf{else}:\\ \;\;\;\;y \cdot \left(1 - \log y\right)\\ \end{array} \]
Alternative 3
Error19.4
Cost7382
\[\begin{array}{l} \mathbf{if}\;y \leq 10500000000 \lor \neg \left(y \leq 10^{+18}\right) \land \left(y \leq 1.5 \cdot 10^{+47} \lor \neg \left(y \leq 7.2 \cdot 10^{+83}\right) \land y \leq 5.5 \cdot 10^{+108}\right):\\ \;\;\;\;x - z\\ \mathbf{else}:\\ \;\;\;\;y \cdot \left(1 - \log y\right)\\ \end{array} \]
Alternative 4
Error6.8
Cost7240
\[\begin{array}{l} \mathbf{if}\;z \leq -9.2 \cdot 10^{+17}:\\ \;\;\;\;x - z\\ \mathbf{elif}\;z \leq 5 \cdot 10^{+43}:\\ \;\;\;\;\left(x + y\right) + \log y \cdot \left(-0.5 - y\right)\\ \mathbf{else}:\\ \;\;\;\;x - z\\ \end{array} \]
Alternative 5
Error7.1
Cost7240
\[\begin{array}{l} t_0 := \log y \cdot \left(-0.5 - y\right)\\ \mathbf{if}\;z \leq -33000000000000:\\ \;\;\;\;x - z\\ \mathbf{elif}\;z \leq 2.02 \cdot 10^{+34}:\\ \;\;\;\;\left(x + y\right) + t_0\\ \mathbf{else}:\\ \;\;\;\;\left(y + t_0\right) - z\\ \end{array} \]
Alternative 6
Error0.1
Cost7232
\[\left(x + \left(y - \frac{\log y}{\frac{1}{y + 0.5}}\right)\right) - z \]
Alternative 7
Error16.9
Cost7112
\[\begin{array}{l} \mathbf{if}\;y \leq 2.65 \cdot 10^{-107}:\\ \;\;\;\;x + \log y \cdot -0.5\\ \mathbf{elif}\;y \leq 3300000000:\\ \;\;\;\;x - z\\ \mathbf{else}:\\ \;\;\;\;x + \left(y - y \cdot \log y\right)\\ \end{array} \]
Alternative 8
Error6.6
Cost7108
\[\begin{array}{l} \mathbf{if}\;y \leq 8400000000:\\ \;\;\;\;\left(x + \log y \cdot -0.5\right) - z\\ \mathbf{else}:\\ \;\;\;\;x + \frac{y}{\frac{1}{1 - \log y}}\\ \end{array} \]
Alternative 9
Error0.1
Cost7104
\[\left(y + \left(x + \log y \cdot \left(-0.5 - y\right)\right)\right) - z \]
Alternative 10
Error6.6
Cost6980
\[\begin{array}{l} \mathbf{if}\;y \leq 4400000000:\\ \;\;\;\;\left(x + \log y \cdot -0.5\right) - z\\ \mathbf{else}:\\ \;\;\;\;x + \left(y - y \cdot \log y\right)\\ \end{array} \]
Alternative 11
Error6.6
Cost6980
\[\begin{array}{l} \mathbf{if}\;y \leq 3000000000:\\ \;\;\;\;\left(x + \log y \cdot -0.5\right) - z\\ \mathbf{else}:\\ \;\;\;\;x + y \cdot \left(1 - \log y\right)\\ \end{array} \]
Alternative 12
Error33.0
Cost392
\[\begin{array}{l} \mathbf{if}\;z \leq -5.3 \cdot 10^{+20}:\\ \;\;\;\;-z\\ \mathbf{elif}\;z \leq 3.05 \cdot 10^{+32}:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;-z\\ \end{array} \]
Alternative 13
Error26.5
Cost192
\[x - z \]
Alternative 14
Error44.2
Cost64
\[x \]

Error

Reproduce

herbie shell --seed 2023016 
(FPCore (x y z)
  :name "Numeric.SpecFunctions:stirlingError from math-functions-0.1.5.2"
  :precision binary64

  :herbie-target
  (- (- (+ y x) z) (* (+ y 0.5) (log y)))

  (- (+ (- x (* (+ y 0.5) (log y))) y) z))