Average Error: 59.1 → 33.9
Time: 12.0s
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 r183608 = c0;
        double r183609 = 2.0;
        double r183610 = w;
        double r183611 = r183609 * r183610;
        double r183612 = r183608 / r183611;
        double r183613 = d;
        double r183614 = r183613 * r183613;
        double r183615 = r183608 * r183614;
        double r183616 = h;
        double r183617 = r183610 * r183616;
        double r183618 = D;
        double r183619 = r183618 * r183618;
        double r183620 = r183617 * r183619;
        double r183621 = r183615 / r183620;
        double r183622 = r183621 * r183621;
        double r183623 = M;
        double r183624 = r183623 * r183623;
        double r183625 = r183622 - r183624;
        double r183626 = sqrt(r183625);
        double r183627 = r183621 + r183626;
        double r183628 = r183612 * r183627;
        return r183628;
}

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 r183629 = 0.0;
        double r183630 = cbrt(r183629);
        double r183631 = r183629 * r183630;
        return r183631;
}

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 59.1

    \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)\]
  2. Taylor expanded around inf 35.9

    \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{0}\]
  3. Using strategy rm
  4. Applied add-cube-cbrt35.9

    \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\left(\left(\sqrt[3]{0} \cdot \sqrt[3]{0}\right) \cdot \sqrt[3]{0}\right)}\]
  5. Applied associate-*r*35.9

    \[\leadsto \color{blue}{\left(\frac{c0}{2 \cdot w} \cdot \left(\sqrt[3]{0} \cdot \sqrt[3]{0}\right)\right) \cdot \sqrt[3]{0}}\]
  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 2019353 +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))))))