| Alternative 1 | |
|---|---|
| Error | 0.0 |
| Cost | 13632 |
\[\mathsf{fma}\left(x, y, \mathsf{fma}\left(t, \frac{z}{16}, c - a \cdot \frac{b}{4}\right)\right)
\]
(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 16.0) 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 / 16.0), 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 / 16.0), 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 / 16.0), $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, \frac{z}{16}, c\right)\right)\right)
Initial program 0.2
Simplified0.0
[Start]0.2 | \[ \left(\left(x \cdot y + \frac{z \cdot t}{16}\right) - \frac{a \cdot b}{4}\right) + c
\] |
|---|---|
associate--l+ [=>]0.2 | \[ \color{blue}{\left(x \cdot y + \left(\frac{z \cdot t}{16} - \frac{a \cdot b}{4}\right)\right)} + c
\] |
associate-+l+ [=>]0.2 | \[ \color{blue}{x \cdot y + \left(\left(\frac{z \cdot t}{16} - \frac{a \cdot b}{4}\right) + c\right)}
\] |
fma-def [=>]0.1 | \[ \color{blue}{\mathsf{fma}\left(x, y, \left(\frac{z \cdot t}{16} - \frac{a \cdot b}{4}\right) + c\right)}
\] |
+-commutative [=>]0.1 | \[ \mathsf{fma}\left(x, y, \color{blue}{c + \left(\frac{z \cdot t}{16} - \frac{a \cdot b}{4}\right)}\right)
\] |
sub-neg [=>]0.1 | \[ \mathsf{fma}\left(x, y, c + \color{blue}{\left(\frac{z \cdot t}{16} + \left(-\frac{a \cdot b}{4}\right)\right)}\right)
\] |
associate-+r+ [=>]0.1 | \[ \mathsf{fma}\left(x, y, \color{blue}{\left(c + \frac{z \cdot t}{16}\right) + \left(-\frac{a \cdot b}{4}\right)}\right)
\] |
+-commutative [<=]0.1 | \[ \mathsf{fma}\left(x, y, \color{blue}{\left(-\frac{a \cdot b}{4}\right) + \left(c + \frac{z \cdot t}{16}\right)}\right)
\] |
distribute-neg-frac [=>]0.1 | \[ \mathsf{fma}\left(x, y, \color{blue}{\frac{-a \cdot b}{4}} + \left(c + \frac{z \cdot t}{16}\right)\right)
\] |
distribute-rgt-neg-in [=>]0.1 | \[ \mathsf{fma}\left(x, y, \frac{\color{blue}{a \cdot \left(-b\right)}}{4} + \left(c + \frac{z \cdot t}{16}\right)\right)
\] |
associate-*r/ [<=]0.1 | \[ \mathsf{fma}\left(x, y, \color{blue}{a \cdot \frac{-b}{4}} + \left(c + \frac{z \cdot t}{16}\right)\right)
\] |
fma-def [=>]0.1 | \[ \mathsf{fma}\left(x, y, \color{blue}{\mathsf{fma}\left(a, \frac{-b}{4}, c + \frac{z \cdot t}{16}\right)}\right)
\] |
mul-1-neg [<=]0.1 | \[ \mathsf{fma}\left(x, y, \mathsf{fma}\left(a, \frac{\color{blue}{-1 \cdot b}}{4}, c + \frac{z \cdot t}{16}\right)\right)
\] |
associate-/l* [=>]0.2 | \[ \mathsf{fma}\left(x, y, \mathsf{fma}\left(a, \color{blue}{\frac{-1}{\frac{4}{b}}}, c + \frac{z \cdot t}{16}\right)\right)
\] |
associate-/r/ [=>]0.1 | \[ \mathsf{fma}\left(x, y, \mathsf{fma}\left(a, \color{blue}{\frac{-1}{4} \cdot b}, c + \frac{z \cdot t}{16}\right)\right)
\] |
*-commutative [<=]0.1 | \[ \mathsf{fma}\left(x, y, \mathsf{fma}\left(a, \color{blue}{b \cdot \frac{-1}{4}}, c + \frac{z \cdot t}{16}\right)\right)
\] |
metadata-eval [=>]0.1 | \[ \mathsf{fma}\left(x, y, \mathsf{fma}\left(a, b \cdot \color{blue}{-0.25}, c + \frac{z \cdot t}{16}\right)\right)
\] |
+-commutative [=>]0.1 | \[ \mathsf{fma}\left(x, y, \mathsf{fma}\left(a, b \cdot -0.25, \color{blue}{\frac{z \cdot t}{16} + c}\right)\right)
\] |
associate-*l/ [<=]0.0 | \[ \mathsf{fma}\left(x, y, \mathsf{fma}\left(a, b \cdot -0.25, \color{blue}{\frac{z}{16} \cdot t} + c\right)\right)
\] |
*-commutative [=>]0.0 | \[ \mathsf{fma}\left(x, y, \mathsf{fma}\left(a, b \cdot -0.25, \color{blue}{t \cdot \frac{z}{16}} + c\right)\right)
\] |
fma-def [=>]0.0 | \[ \mathsf{fma}\left(x, y, \mathsf{fma}\left(a, b \cdot -0.25, \color{blue}{\mathsf{fma}\left(t, \frac{z}{16}, c\right)}\right)\right)
\] |
Final simplification0.0
| Alternative 1 | |
|---|---|
| Error | 0.0 |
| Cost | 13632 |
| Alternative 2 | |
|---|---|
| Error | 21.0 |
| Cost | 1765 |
| Alternative 3 | |
|---|---|
| Error | 6.3 |
| Cost | 1613 |
| Alternative 4 | |
|---|---|
| Error | 16.7 |
| Cost | 1365 |
| Alternative 5 | |
|---|---|
| Error | 30.4 |
| Cost | 1240 |
| Alternative 6 | |
|---|---|
| Error | 8.0 |
| Cost | 1225 |
| Alternative 7 | |
|---|---|
| Error | 32.5 |
| Cost | 1112 |
| Alternative 8 | |
|---|---|
| Error | 23.9 |
| Cost | 1108 |
| Alternative 9 | |
|---|---|
| Error | 10.7 |
| Cost | 1101 |
| Alternative 10 | |
|---|---|
| Error | 0.2 |
| Cost | 1088 |
| Alternative 11 | |
|---|---|
| Error | 35.6 |
| Cost | 980 |
| Alternative 12 | |
|---|---|
| Error | 35.5 |
| Cost | 848 |
| Alternative 13 | |
|---|---|
| Error | 36.6 |
| Cost | 456 |
| Alternative 14 | |
|---|---|
| Error | 43.4 |
| Cost | 64 |
herbie shell --seed 2022354
(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))