Average Error: 0.0 → 0.2
Time: 2.8s
Precision: 64
\[\frac{2.30753 + x \cdot 0.27061000000000002}{1 + x \cdot \left(0.992290000000000005 + x \cdot 0.044810000000000003\right)} - x\]
↓
\[\frac{2.30753 + x \cdot 0.27061000000000002}{1 + \log \left(e^{x \cdot \left(0.992290000000000005 + x \cdot 0.044810000000000003\right)}\right)} - x\]
\frac{2.30753 + x \cdot 0.27061000000000002}{1 + x \cdot \left(0.992290000000000005 + x \cdot 0.044810000000000003\right)} - x
↓
\frac{2.30753 + x \cdot 0.27061000000000002}{1 + \log \left(e^{x \cdot \left(0.992290000000000005 + x \cdot 0.044810000000000003\right)}\right)} - x
double code(double x) {
	return (((2.30753 + (x * 0.27061)) / (1.0 + (x * (0.99229 + (x * 0.04481))))) - x);
}
↓
double code(double x) {
	return (((2.30753 + (x * 0.27061)) / (1.0 + log(exp((x * (0.99229 + (x * 0.04481))))))) - x);
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\frac{2.30753 + x \cdot 0.27061000000000002}{1 + x \cdot \left(0.992290000000000005 + x \cdot 0.044810000000000003\right)} - x\]
  2. Using strategy rm

  3. Applied add-log-exp0.2

    \[\leadsto \frac{2.30753 + x \cdot 0.27061000000000002}{1 + \color{blue}{\log \left(e^{x \cdot \left(0.992290000000000005 + x \cdot 0.044810000000000003\right)}\right)}} - x\]

  4. Final simplification0.2

    \[\leadsto \frac{2.30753 + x \cdot 0.27061000000000002}{1 + \log \left(e^{x \cdot \left(0.992290000000000005 + x \cdot 0.044810000000000003\right)}\right)} - x\]

Reproduce

herbie shell --seed 2020058 
(FPCore (x)
  :name "Numeric.SpecFunctions:invIncompleteGamma from math-functions-0.1.5.2, C"
  :precision binary64
  (- (/ (+ 2.30753 (* x 0.27061)) (+ 1 (* x (+ 0.99229 (* x 0.04481))))) x))