Average Error: 0.0 → 0.0
Time: 1.9s
Precision: 64
\[\left(x \cdot \left(y - 1\right) - y \cdot 0.5\right) + 0.918938533204673003\]
↓
\[\left(x \cdot \left(y - 1\right) - y \cdot 0.5\right) + 0.918938533204673003\]
\left(x \cdot \left(y - 1\right) - y \cdot 0.5\right) + 0.918938533204673003
↓
\left(x \cdot \left(y - 1\right) - y \cdot 0.5\right) + 0.918938533204673003
double f(double x, double y) {
        double r82450 = x;
        double r82451 = y;
        double r82452 = 1.0;
        double r82453 = r82451 - r82452;
        double r82454 = r82450 * r82453;
        double r82455 = 0.5;
        double r82456 = r82451 * r82455;
        double r82457 = r82454 - r82456;
        double r82458 = 0.918938533204673;
        double r82459 = r82457 + r82458;
        return r82459;
}
↓
double f(double x, double y) {
        double r82460 = x;
        double r82461 = y;
        double r82462 = 1.0;
        double r82463 = r82461 - r82462;
        double r82464 = r82460 * r82463;
        double r82465 = 0.5;
        double r82466 = r82461 * r82465;
        double r82467 = r82464 - r82466;
        double r82468 = 0.918938533204673;
        double r82469 = r82467 + r82468;
        return r82469;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\left(x \cdot \left(y - 1\right) - y \cdot 0.5\right) + 0.918938533204673003\]

  2. Final simplification0.0

    \[\leadsto \left(x \cdot \left(y - 1\right) - y \cdot 0.5\right) + 0.918938533204673003\]

Reproduce

herbie shell --seed 2020057 
(FPCore (x y)
  :name "Numeric.SpecFunctions:logGamma from math-functions-0.1.5.2, A"
  :precision binary64
  (+ (- (* x (- y 1)) (* y 0.5)) 0.918938533204673))