| Alternative 1 | |
|---|---|
| Error | 0.0 |
| Cost | 13888 |
\[\sqrt{1 - 3 \cdot \left(v \cdot v\right)} \cdot \left(\frac{\sqrt{2}}{4} \cdot \left(1 - v \cdot v\right)\right)
\]
(FPCore (v) :precision binary64 (* (* (/ (sqrt 2.0) 4.0) (sqrt (- 1.0 (* 3.0 (* v v))))) (- 1.0 (* v v))))
(FPCore (v) :precision binary64 (* (/ (sqrt 2.0) 4.0) (* (sqrt (- 1.0 (* v (* 3.0 v)))) (- 1.0 (* v v)))))
double code(double v) {
return ((sqrt(2.0) / 4.0) * sqrt((1.0 - (3.0 * (v * v))))) * (1.0 - (v * v));
}
double code(double v) {
return (sqrt(2.0) / 4.0) * (sqrt((1.0 - (v * (3.0 * v)))) * (1.0 - (v * v)));
}
real(8) function code(v)
real(8), intent (in) :: v
code = ((sqrt(2.0d0) / 4.0d0) * sqrt((1.0d0 - (3.0d0 * (v * v))))) * (1.0d0 - (v * v))
end function
real(8) function code(v)
real(8), intent (in) :: v
code = (sqrt(2.0d0) / 4.0d0) * (sqrt((1.0d0 - (v * (3.0d0 * v)))) * (1.0d0 - (v * v)))
end function
public static double code(double v) {
return ((Math.sqrt(2.0) / 4.0) * Math.sqrt((1.0 - (3.0 * (v * v))))) * (1.0 - (v * v));
}
public static double code(double v) {
return (Math.sqrt(2.0) / 4.0) * (Math.sqrt((1.0 - (v * (3.0 * v)))) * (1.0 - (v * v)));
}
def code(v): return ((math.sqrt(2.0) / 4.0) * math.sqrt((1.0 - (3.0 * (v * v))))) * (1.0 - (v * v))
def code(v): return (math.sqrt(2.0) / 4.0) * (math.sqrt((1.0 - (v * (3.0 * v)))) * (1.0 - (v * v)))
function code(v) return Float64(Float64(Float64(sqrt(2.0) / 4.0) * sqrt(Float64(1.0 - Float64(3.0 * Float64(v * v))))) * Float64(1.0 - Float64(v * v))) end
function code(v) return Float64(Float64(sqrt(2.0) / 4.0) * Float64(sqrt(Float64(1.0 - Float64(v * Float64(3.0 * v)))) * Float64(1.0 - Float64(v * v)))) end
function tmp = code(v) tmp = ((sqrt(2.0) / 4.0) * sqrt((1.0 - (3.0 * (v * v))))) * (1.0 - (v * v)); end
function tmp = code(v) tmp = (sqrt(2.0) / 4.0) * (sqrt((1.0 - (v * (3.0 * v)))) * (1.0 - (v * v))); end
code[v_] := N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] / 4.0), $MachinePrecision] * N[Sqrt[N[(1.0 - N[(3.0 * N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[v_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] / 4.0), $MachinePrecision] * N[(N[Sqrt[N[(1.0 - N[(v * N[(3.0 * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(1.0 - N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\left(\frac{\sqrt{2}}{4} \cdot \sqrt{1 - 3 \cdot \left(v \cdot v\right)}\right) \cdot \left(1 - v \cdot v\right)
\frac{\sqrt{2}}{4} \cdot \left(\sqrt{1 - v \cdot \left(3 \cdot v\right)} \cdot \left(1 - v \cdot v\right)\right)
Results
Initial program 0.0
Simplified0.0
[Start]0.0 | \[ \left(\frac{\sqrt{2}}{4} \cdot \sqrt{1 - 3 \cdot \left(v \cdot v\right)}\right) \cdot \left(1 - v \cdot v\right)
\] |
|---|---|
rational_best_oopsla_all_46_json_45_simplify-74 [=>]0.0 | \[ \color{blue}{\left(1 - v \cdot v\right) \cdot \left(\frac{\sqrt{2}}{4} \cdot \sqrt{1 - 3 \cdot \left(v \cdot v\right)}\right)}
\] |
rational_best_oopsla_all_46_json_45_simplify-7 [=>]0.0 | \[ \color{blue}{\frac{\sqrt{2}}{4} \cdot \left(\left(1 - v \cdot v\right) \cdot \sqrt{1 - 3 \cdot \left(v \cdot v\right)}\right)}
\] |
rational_best_oopsla_all_46_json_45_simplify-74 [=>]0.0 | \[ \frac{\sqrt{2}}{4} \cdot \color{blue}{\left(\sqrt{1 - 3 \cdot \left(v \cdot v\right)} \cdot \left(1 - v \cdot v\right)\right)}
\] |
rational_best_oopsla_all_46_json_45_simplify-7 [=>]0.0 | \[ \frac{\sqrt{2}}{4} \cdot \left(\sqrt{1 - \color{blue}{v \cdot \left(3 \cdot v\right)}} \cdot \left(1 - v \cdot v\right)\right)
\] |
Final simplification0.0
| Alternative 1 | |
|---|---|
| Error | 0.0 |
| Cost | 13888 |
| Alternative 2 | |
|---|---|
| Error | 0.3 |
| Cost | 13312 |
| Alternative 3 | |
|---|---|
| Error | 0.6 |
| Cost | 7104 |
| Alternative 4 | |
|---|---|
| Error | 0.7 |
| Cost | 6592 |
herbie shell --seed 2023090
(FPCore (v)
:name "Falkner and Boettcher, Appendix B, 2"
:precision binary64
(* (* (/ (sqrt 2.0) 4.0) (sqrt (- 1.0 (* 3.0 (* v v))))) (- 1.0 (* v v))))