| Alternative 1 | |
|---|---|
| Accuracy | 99.1% |
| Cost | 64 |
\[1
\]
(FPCore (x) :precision binary64 (sqrt (- 1.0 (* x x))))
(FPCore (x) :precision binary64 (+ 1.0 (* -0.5 (* x x))))
double code(double x) {
return sqrt((1.0 - (x * x)));
}
double code(double x) {
return 1.0 + (-0.5 * (x * x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = sqrt((1.0d0 - (x * x)))
end function
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 + ((-0.5d0) * (x * x))
end function
public static double code(double x) {
return Math.sqrt((1.0 - (x * x)));
}
public static double code(double x) {
return 1.0 + (-0.5 * (x * x));
}
def code(x): return math.sqrt((1.0 - (x * x)))
def code(x): return 1.0 + (-0.5 * (x * x))
function code(x) return sqrt(Float64(1.0 - Float64(x * x))) end
function code(x) return Float64(1.0 + Float64(-0.5 * Float64(x * x))) end
function tmp = code(x) tmp = sqrt((1.0 - (x * x))); end
function tmp = code(x) tmp = 1.0 + (-0.5 * (x * x)); end
code[x_] := N[Sqrt[N[(1.0 - N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
code[x_] := N[(1.0 + N[(-0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\sqrt{1 - x \cdot x}
1 + -0.5 \cdot \left(x \cdot x\right)
Results
Initial program 100.0%
Taylor expanded in x around 0 100.0%
Simplified100.0%
[Start]100.0 | \[ 1 + -0.5 \cdot {x}^{2}
\] |
|---|---|
unpow2 [=>]100.0 | \[ 1 + -0.5 \cdot \color{blue}{\left(x \cdot x\right)}
\] |
Final simplification100.0%
| Alternative 1 | |
|---|---|
| Accuracy | 99.1% |
| Cost | 64 |
herbie shell --seed 2023157
(FPCore (x)
:name "Diagrams.TwoD.Ellipse:ellipse from diagrams-lib-1.3.0.3"
:precision binary64
(sqrt (- 1.0 (* x x))))