\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 r91197 = c0;
double r91198 = 2.0;
double r91199 = w;
double r91200 = r91198 * r91199;
double r91201 = r91197 / r91200;
double r91202 = d;
double r91203 = r91202 * r91202;
double r91204 = r91197 * r91203;
double r91205 = h;
double r91206 = r91199 * r91205;
double r91207 = D;
double r91208 = r91207 * r91207;
double r91209 = r91206 * r91208;
double r91210 = r91204 / r91209;
double r91211 = r91210 * r91210;
double r91212 = M;
double r91213 = r91212 * r91212;
double r91214 = r91211 - r91213;
double r91215 = sqrt(r91214);
double r91216 = r91210 + r91215;
double r91217 = r91201 * r91216;
return r91217;
}
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 r91218 = 0.0;
return r91218;
}



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 59.3
Taylor expanded around inf 35.7
rmApplied add-log-exp35.7
Simplified33.8
Final simplification33.8
herbie shell --seed 2019326
(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))))))