Average Error: 59.5 → 33.9
Time: 14.1s
Precision: 64
\[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)\]
\[0 \cdot \sqrt[3]{0}\]
\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)
0 \cdot \sqrt[3]{0}
double f(double c0, double w, double h, double D, double d, double M) {
        double r189902 = c0;
        double r189903 = 2.0;
        double r189904 = w;
        double r189905 = r189903 * r189904;
        double r189906 = r189902 / r189905;
        double r189907 = d;
        double r189908 = r189907 * r189907;
        double r189909 = r189902 * r189908;
        double r189910 = h;
        double r189911 = r189904 * r189910;
        double r189912 = D;
        double r189913 = r189912 * r189912;
        double r189914 = r189911 * r189913;
        double r189915 = r189909 / r189914;
        double r189916 = r189915 * r189915;
        double r189917 = M;
        double r189918 = r189917 * r189917;
        double r189919 = r189916 - r189918;
        double r189920 = sqrt(r189919);
        double r189921 = r189915 + r189920;
        double r189922 = r189906 * r189921;
        return r189922;
}

double f(double __attribute__((unused)) c0, double __attribute__((unused)) w, double __attribute__((unused)) h, double __attribute__((unused)) D, double __attribute__((unused)) d, double __attribute__((unused)) M) {
        double r189923 = 0.0;
        double r189924 = cbrt(r189923);
        double r189925 = r189923 * r189924;
        return r189925;
}

Error

Bits error versus c0

Bits error versus w

Bits error versus h

Bits error versus D

Bits error versus d

Bits error versus M

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 59.5

    \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)\]
  2. Taylor expanded around inf 35.7

    \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{0}\]
  3. Using strategy rm
  4. Applied add-cube-cbrt35.7

    \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\left(\left(\sqrt[3]{0} \cdot \sqrt[3]{0}\right) \cdot \sqrt[3]{0}\right)}\]
  5. Applied associate-*r*35.7

    \[\leadsto \color{blue}{\left(\frac{c0}{2 \cdot w} \cdot \left(\sqrt[3]{0} \cdot \sqrt[3]{0}\right)\right) \cdot \sqrt[3]{0}}\]
  6. Simplified33.9

    \[\leadsto \color{blue}{0} \cdot \sqrt[3]{0}\]
  7. Final simplification33.9

    \[\leadsto 0 \cdot \sqrt[3]{0}\]

Reproduce

herbie shell --seed 2020042 +o rules:numerics
(FPCore (c0 w h D d M)
  :name "Henrywood and Agarwal, Equation (13)"
  :precision binary64
  (* (/ c0 (* 2 w)) (+ (/ (* c0 (* d d)) (* (* w h) (* D D))) (sqrt (- (* (/ (* c0 (* d d)) (* (* w h) (* D D))) (/ (* c0 (* d d)) (* (* w h) (* D D)))) (* M M))))))