Average Error: 58.6 → 0.4
Time: 11.6s
Precision: 64
\[-0.00017 \lt x\]
\[e^{x} - 1\]
\[x + \left(\frac{1}{2} + \frac{1}{6} \cdot x\right) \cdot \left(x \cdot x\right)\]
e^{x} - 1
x + \left(\frac{1}{2} + \frac{1}{6} \cdot x\right) \cdot \left(x \cdot x\right)
double f(double x) {
        double r2738261 = x;
        double r2738262 = exp(r2738261);
        double r2738263 = 1.0;
        double r2738264 = r2738262 - r2738263;
        return r2738264;
}

double f(double x) {
        double r2738265 = x;
        double r2738266 = 0.5;
        double r2738267 = 0.16666666666666666;
        double r2738268 = r2738267 * r2738265;
        double r2738269 = r2738266 + r2738268;
        double r2738270 = r2738265 * r2738265;
        double r2738271 = r2738269 * r2738270;
        double r2738272 = r2738265 + r2738271;
        return r2738272;
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original58.6
Target0.4
Herbie0.4
\[x \cdot \left(\left(1 + \frac{x}{2}\right) + \frac{x \cdot x}{6}\right)\]

Derivation

  1. Initial program 58.6

    \[e^{x} - 1\]
  2. Taylor expanded around 0 0.4

    \[\leadsto \color{blue}{x + \left(\frac{1}{6} \cdot {x}^{3} + \frac{1}{2} \cdot {x}^{2}\right)}\]
  3. Simplified0.4

    \[\leadsto \color{blue}{x + \left(x \cdot x\right) \cdot \left(\frac{1}{2} + x \cdot \frac{1}{6}\right)}\]
  4. Final simplification0.4

    \[\leadsto x + \left(\frac{1}{2} + \frac{1}{6} \cdot x\right) \cdot \left(x \cdot x\right)\]

Reproduce

herbie shell --seed 2019152 
(FPCore (x)
  :name "expm1 (example 3.7)"
  :pre (< -0.00017 x)

  :herbie-target
  (* x (+ (+ 1 (/ x 2)) (/ (* x x) 6)))

  (- (exp x) 1))