(FPCore (x y z t a b c) :precision binary64 (+ (- (+ (* x y) (/ (* z t) 16.0)) (/ (* a b) 4.0)) c))
(FPCore (x y z t a b c) :precision binary64 (fma x y (fma a (* b -0.25) (fma t (* z 0.0625) c))))
double code(double x, double y, double z, double t, double a, double b, double c) {
return (((x * y) + ((z * t) / 16.0)) - ((a * b) / 4.0)) + c;
}
double code(double x, double y, double z, double t, double a, double b, double c) {
return fma(x, y, fma(a, (b * -0.25), fma(t, (z * 0.0625), c)));
}
function code(x, y, z, t, a, b, c) return Float64(Float64(Float64(Float64(x * y) + Float64(Float64(z * t) / 16.0)) - Float64(Float64(a * b) / 4.0)) + c) end
function code(x, y, z, t, a, b, c) return fma(x, y, fma(a, Float64(b * -0.25), fma(t, Float64(z * 0.0625), c))) end
code[x_, y_, z_, t_, a_, b_, c_] := N[(N[(N[(N[(x * y), $MachinePrecision] + N[(N[(z * t), $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] - N[(N[(a * b), $MachinePrecision] / 4.0), $MachinePrecision]), $MachinePrecision] + c), $MachinePrecision]
code[x_, y_, z_, t_, a_, b_, c_] := N[(x * y + N[(a * N[(b * -0.25), $MachinePrecision] + N[(t * N[(z * 0.0625), $MachinePrecision] + c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\left(\left(x \cdot y + \frac{z \cdot t}{16}\right) - \frac{a \cdot b}{4}\right) + c
\mathsf{fma}\left(x, y, \mathsf{fma}\left(a, b \cdot -0.25, \mathsf{fma}\left(t, z \cdot 0.0625, c\right)\right)\right)



Bits error versus x



Bits error versus y



Bits error versus z



Bits error versus t



Bits error versus a



Bits error versus b



Bits error versus c
Initial program 0.1
Simplified0.0
Final simplification0.0
herbie shell --seed 2022150
(FPCore (x y z t a b c)
:name "Diagrams.Solve.Polynomial:quartForm from diagrams-solve-0.1, C"
:precision binary64
(+ (- (+ (* x y) (/ (* z t) 16.0)) (/ (* a b) 4.0)) c))