Average Error: 0.0 → 0.0
Time: 1.7s
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 r67469 = x;
        double r67470 = y;
        double r67471 = 1.0;
        double r67472 = r67470 - r67471;
        double r67473 = r67469 * r67472;
        double r67474 = 0.5;
        double r67475 = r67470 * r67474;
        double r67476 = r67473 - r67475;
        double r67477 = 0.918938533204673;
        double r67478 = r67476 + r67477;
        return r67478;
}
↓
double f(double x, double y) {
        double r67479 = x;
        double r67480 = y;
        double r67481 = 1.0;
        double r67482 = r67480 - r67481;
        double r67483 = r67479 * r67482;
        double r67484 = 0.5;
        double r67485 = r67480 * r67484;
        double r67486 = r67483 - r67485;
        double r67487 = 0.918938533204673;
        double r67488 = r67486 + r67487;
        return r67488;
}

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 2020036 
(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))