| Alternative 1 | |
|---|---|
| Error | 0.6 |
| Cost | 13696 |
\[\frac{4}{\pi} \cdot \frac{1}{3 \cdot \sqrt{2 - 6 \cdot \left(v \cdot v\right)}}
\]
(FPCore (v) :precision binary64 (/ 4.0 (* (* (* 3.0 PI) (- 1.0 (* v v))) (sqrt (- 2.0 (* 6.0 (* v v)))))))
(FPCore (v) :precision binary64 (/ 1.3333333333333333 (* (sqrt (- 2.0 (* 6.0 (* v v)))) (* PI (- 1.0 (* v v))))))
double code(double v) {
return 4.0 / (((3.0 * ((double) M_PI)) * (1.0 - (v * v))) * sqrt((2.0 - (6.0 * (v * v)))));
}
double code(double v) {
return 1.3333333333333333 / (sqrt((2.0 - (6.0 * (v * v)))) * (((double) M_PI) * (1.0 - (v * v))));
}
public static double code(double v) {
return 4.0 / (((3.0 * Math.PI) * (1.0 - (v * v))) * Math.sqrt((2.0 - (6.0 * (v * v)))));
}
public static double code(double v) {
return 1.3333333333333333 / (Math.sqrt((2.0 - (6.0 * (v * v)))) * (Math.PI * (1.0 - (v * v))));
}
def code(v): return 4.0 / (((3.0 * math.pi) * (1.0 - (v * v))) * math.sqrt((2.0 - (6.0 * (v * v)))))
def code(v): return 1.3333333333333333 / (math.sqrt((2.0 - (6.0 * (v * v)))) * (math.pi * (1.0 - (v * v))))
function code(v) return Float64(4.0 / Float64(Float64(Float64(3.0 * pi) * Float64(1.0 - Float64(v * v))) * sqrt(Float64(2.0 - Float64(6.0 * Float64(v * v)))))) end
function code(v) return Float64(1.3333333333333333 / Float64(sqrt(Float64(2.0 - Float64(6.0 * Float64(v * v)))) * Float64(pi * Float64(1.0 - Float64(v * v))))) end
function tmp = code(v) tmp = 4.0 / (((3.0 * pi) * (1.0 - (v * v))) * sqrt((2.0 - (6.0 * (v * v))))); end
function tmp = code(v) tmp = 1.3333333333333333 / (sqrt((2.0 - (6.0 * (v * v)))) * (pi * (1.0 - (v * v)))); end
code[v_] := N[(4.0 / N[(N[(N[(3.0 * Pi), $MachinePrecision] * N[(1.0 - N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(2.0 - N[(6.0 * N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[v_] := N[(1.3333333333333333 / N[(N[Sqrt[N[(2.0 - N[(6.0 * N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(Pi * N[(1.0 - N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{4}{\left(\left(3 \cdot \pi\right) \cdot \left(1 - v \cdot v\right)\right) \cdot \sqrt{2 - 6 \cdot \left(v \cdot v\right)}}
\frac{1.3333333333333333}{\sqrt{2 - 6 \cdot \left(v \cdot v\right)} \cdot \left(\pi \cdot \left(1 - v \cdot v\right)\right)}
Results
Initial program 1.0
Simplified0.0
[Start]1.0 | \[ \frac{4}{\left(\left(3 \cdot \pi\right) \cdot \left(1 - v \cdot v\right)\right) \cdot \sqrt{2 - 6 \cdot \left(v \cdot v\right)}}
\] |
|---|---|
rational.json-simplify-46 [=>]0.0 | \[ \color{blue}{\frac{\frac{4}{\left(3 \cdot \pi\right) \cdot \left(1 - v \cdot v\right)}}{\sqrt{2 - 6 \cdot \left(v \cdot v\right)}}}
\] |
rational.json-simplify-46 [=>]0.0 | \[ \frac{\color{blue}{\frac{\frac{4}{3 \cdot \pi}}{1 - v \cdot v}}}{\sqrt{2 - 6 \cdot \left(v \cdot v\right)}}
\] |
rational.json-simplify-46 [=>]0.0 | \[ \frac{\frac{\color{blue}{\frac{\frac{4}{3}}{\pi}}}{1 - v \cdot v}}{\sqrt{2 - 6 \cdot \left(v \cdot v\right)}}
\] |
metadata-eval [=>]0.0 | \[ \frac{\frac{\frac{\color{blue}{1.3333333333333333}}{\pi}}{1 - v \cdot v}}{\sqrt{2 - 6 \cdot \left(v \cdot v\right)}}
\] |
rational.json-simplify-43 [=>]0.0 | \[ \frac{\frac{\frac{1.3333333333333333}{\pi}}{1 - v \cdot v}}{\sqrt{2 - \color{blue}{v \cdot \left(v \cdot 6\right)}}}
\] |
Applied egg-rr0.0
Simplified0.0
[Start]0.0 | \[ \frac{\frac{\frac{1.3333333333333333}{\pi}}{1 - v \cdot v}}{\sqrt{2 - v \cdot \left(v \cdot 6\right)}} + 0
\] |
|---|---|
rational.json-simplify-4 [=>]0.0 | \[ \color{blue}{\frac{\frac{\frac{1.3333333333333333}{\pi}}{1 - v \cdot v}}{\sqrt{2 - v \cdot \left(v \cdot 6\right)}}}
\] |
rational.json-simplify-47 [=>]0.0 | \[ \frac{\color{blue}{\frac{1.3333333333333333}{\pi \cdot \left(1 - v \cdot v\right)}}}{\sqrt{2 - v \cdot \left(v \cdot 6\right)}}
\] |
rational.json-simplify-44 [=>]0.0 | \[ \color{blue}{\frac{\frac{1.3333333333333333}{\sqrt{2 - v \cdot \left(v \cdot 6\right)}}}{\pi \cdot \left(1 - v \cdot v\right)}}
\] |
rational.json-simplify-46 [<=]0.0 | \[ \color{blue}{\frac{1.3333333333333333}{\sqrt{2 - v \cdot \left(v \cdot 6\right)} \cdot \left(\pi \cdot \left(1 - v \cdot v\right)\right)}}
\] |
rational.json-simplify-2 [=>]0.0 | \[ \frac{1.3333333333333333}{\sqrt{2 - v \cdot \color{blue}{\left(6 \cdot v\right)}} \cdot \left(\pi \cdot \left(1 - v \cdot v\right)\right)}
\] |
rational.json-simplify-43 [=>]0.0 | \[ \frac{1.3333333333333333}{\sqrt{2 - \color{blue}{6 \cdot \left(v \cdot v\right)}} \cdot \left(\pi \cdot \left(1 - v \cdot v\right)\right)}
\] |
Final simplification0.0
| Alternative 1 | |
|---|---|
| Error | 0.6 |
| Cost | 13696 |
| Alternative 2 | |
|---|---|
| Error | 0.6 |
| Cost | 13568 |
| Alternative 3 | |
|---|---|
| Error | 0.6 |
| Cost | 13440 |
| Alternative 4 | |
|---|---|
| Error | 0.6 |
| Cost | 13440 |
| Alternative 5 | |
|---|---|
| Error | 0.6 |
| Cost | 13440 |
| Alternative 6 | |
|---|---|
| Error | 1.6 |
| Cost | 13056 |
| Alternative 7 | |
|---|---|
| Error | 0.6 |
| Cost | 13056 |
herbie shell --seed 2023064
(FPCore (v)
:name "Falkner and Boettcher, Equation (22+)"
:precision binary64
(/ 4.0 (* (* (* 3.0 PI) (- 1.0 (* v v))) (sqrt (- 2.0 (* 6.0 (* v v)))))))