| Alternative 1 | |
|---|---|
| Error | 1.4 |
| Cost | 13184 |
\[\sqrt{0.5} \cdot \frac{1}{\pi \cdot t}
\]
(FPCore (v t) :precision binary64 (/ (- 1.0 (* 5.0 (* v v))) (* (* (* PI t) (sqrt (* 2.0 (- 1.0 (* 3.0 (* v v)))))) (- 1.0 (* v v)))))
(FPCore (v t) :precision binary64 (/ (* (fma v (* v -5.0) 1.0) (/ (/ -1.0 PI) (- t))) (* (sqrt (+ 2.0 (* (* v v) -6.0))) (- 1.0 (* v v)))))
double code(double v, double t) {
return (1.0 - (5.0 * (v * v))) / (((((double) M_PI) * t) * sqrt((2.0 * (1.0 - (3.0 * (v * v)))))) * (1.0 - (v * v)));
}
double code(double v, double t) {
return (fma(v, (v * -5.0), 1.0) * ((-1.0 / ((double) M_PI)) / -t)) / (sqrt((2.0 + ((v * v) * -6.0))) * (1.0 - (v * v)));
}
function code(v, t) return Float64(Float64(1.0 - Float64(5.0 * Float64(v * v))) / Float64(Float64(Float64(pi * t) * sqrt(Float64(2.0 * Float64(1.0 - Float64(3.0 * Float64(v * v)))))) * Float64(1.0 - Float64(v * v)))) end
function code(v, t) return Float64(Float64(fma(v, Float64(v * -5.0), 1.0) * Float64(Float64(-1.0 / pi) / Float64(-t))) / Float64(sqrt(Float64(2.0 + Float64(Float64(v * v) * -6.0))) * Float64(1.0 - Float64(v * v)))) end
code[v_, t_] := N[(N[(1.0 - N[(5.0 * N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(Pi * t), $MachinePrecision] * N[Sqrt[N[(2.0 * N[(1.0 - N[(3.0 * N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[v_, t_] := N[(N[(N[(v * N[(v * -5.0), $MachinePrecision] + 1.0), $MachinePrecision] * N[(N[(-1.0 / Pi), $MachinePrecision] / (-t)), $MachinePrecision]), $MachinePrecision] / N[(N[Sqrt[N[(2.0 + N[(N[(v * v), $MachinePrecision] * -6.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(1.0 - N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\pi \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)}
\frac{\mathsf{fma}\left(v, v \cdot -5, 1\right) \cdot \frac{\frac{-1}{\pi}}{-t}}{\sqrt{2 + \left(v \cdot v\right) \cdot -6} \cdot \left(1 - v \cdot v\right)}
Initial program 0.5
Simplified0.5
Applied egg-rr0.5
Simplified0.3
Final simplification0.3
| Alternative 1 | |
|---|---|
| Error | 1.4 |
| Cost | 13184 |
| Alternative 2 | |
|---|---|
| Error | 1.0 |
| Cost | 13184 |
| Alternative 3 | |
|---|---|
| Error | 1.0 |
| Cost | 13184 |
| Alternative 4 | |
|---|---|
| Error | 0.7 |
| Cost | 13184 |
| Alternative 5 | |
|---|---|
| Error | 1.4 |
| Cost | 13056 |
herbie shell --seed 2022337
(FPCore (v t)
:name "Falkner and Boettcher, Equation (20:1,3)"
:precision binary64
(/ (- 1.0 (* 5.0 (* v v))) (* (* (* PI t) (sqrt (* 2.0 (- 1.0 (* 3.0 (* v v)))))) (- 1.0 (* v v)))))