\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
double f(double c0, double w, double h, double D, double d, double M) {
double r99817 = c0;
double r99818 = 2.0;
double r99819 = w;
double r99820 = r99818 * r99819;
double r99821 = r99817 / r99820;
double r99822 = d;
double r99823 = r99822 * r99822;
double r99824 = r99817 * r99823;
double r99825 = h;
double r99826 = r99819 * r99825;
double r99827 = D;
double r99828 = r99827 * r99827;
double r99829 = r99826 * r99828;
double r99830 = r99824 / r99829;
double r99831 = r99830 * r99830;
double r99832 = M;
double r99833 = r99832 * r99832;
double r99834 = r99831 - r99833;
double r99835 = sqrt(r99834);
double r99836 = r99830 + r99835;
double r99837 = r99821 * r99836;
return r99837;
}
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 r99838 = 0.0;
return r99838;
}



Bits error versus c0



Bits error versus w



Bits error versus h



Bits error versus D



Bits error versus d



Bits error versus M
Results
Initial program 59.5
Taylor expanded around inf 35.6
rmApplied div-inv35.6
Applied associate-*l*33.7
Simplified33.7
Final simplification33.7
herbie shell --seed 2019304
(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))))))