Average Error: 58.5 → 58.5
Time: 1.5s
Precision: binary64
\[\frac{1}{1 + 2 \cdot x} - \left(\frac{1 - x}{1} + x\right)\]
↓
\[\frac{1}{1 + 2 \cdot x} - \left(\frac{1 - x}{1} + x\right)\]
\frac{1}{1 + 2 \cdot x} - \left(\frac{1 - x}{1} + x\right)
↓
\frac{1}{1 + 2 \cdot x} - \left(\frac{1 - x}{1} + x\right)
double code(double x) {
	return ((double) (((double) (1.0 / ((double) (1.0 + ((double) (2.0 * x)))))) - ((double) (((double) (((double) (1.0 - x)) / 1.0)) + x))));
}
↓
double code(double x) {
	return ((double) (((double) (1.0 / ((double) (1.0 + ((double) (2.0 * x)))))) - ((double) (((double) (((double) (1.0 - x)) / 1.0)) + x))));
}

Error

Bits error versus x

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Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 58.5

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

  2. Final simplification58.5

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

Reproduce

herbie shell --seed 2020152 
(FPCore (x)
  :name "(- (/ 1 (+ 1 (* 2 x))) (+ (/ (- 1 x) 1) x))"
  :precision binary64
  (- (/ 1.0 (+ 1.0 (* 2.0 x))) (+ (/ (- 1.0 x) 1.0) x)))