Average Error: 31.9 → 31.9
Time: 1.4s
Precision: binary64
\[\frac{0.75 \cdot {\left(C + R\right)}^{2}}{C + 2 \cdot R}\]
↓
\[\frac{0.75 \cdot {\left(C + R\right)}^{2}}{C + 2 \cdot R}\]
\frac{0.75 \cdot {\left(C + R\right)}^{2}}{C + 2 \cdot R}
↓
\frac{0.75 \cdot {\left(C + R\right)}^{2}}{C + 2 \cdot R}
double code(double C, double R) {
	return ((double) (((double) (0.75 * ((double) pow(((double) (C + R)), 2.0)))) / ((double) (C + ((double) (2.0 * R))))));
}
↓
double code(double C, double R) {
	return ((double) (((double) (0.75 * ((double) pow(((double) (C + R)), 2.0)))) / ((double) (C + ((double) (2.0 * R))))));
}

Error

Bits error versus C

Bits error versus R

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 31.9

    \[\frac{0.75 \cdot {\left(C + R\right)}^{2}}{C + 2 \cdot R}\]

  2. Final simplification31.9

    \[\leadsto \frac{0.75 \cdot {\left(C + R\right)}^{2}}{C + 2 \cdot R}\]

Reproduce

herbie shell --seed 2020153 
(FPCore (C R)
  :name "(/ (* 0.75 (pow (+ C R) 2)) (+ C (* 2 R)))"
  :precision binary64
  (/ (* 0.75 (pow (+ C R) 2.0)) (+ C (* 2.0 R))))