| Alternative 1 | |
|---|---|
| Error | 30.1 |
| Cost | 13120 |
\[\sqrt[3]{x + 1} - \sqrt[3]{x}
\]
(FPCore (x) :precision binary64 (- (cbrt (+ x 1.0)) (cbrt x)))
(FPCore (x) :precision binary64 (- (cbrt (+ x 1.0)) (* (* (cbrt (* x 4.0)) (cbrt 2.0)) (cbrt 0.125))))
double code(double x) {
return cbrt((x + 1.0)) - cbrt(x);
}
double code(double x) {
return cbrt((x + 1.0)) - ((cbrt((x * 4.0)) * cbrt(2.0)) * cbrt(0.125));
}
public static double code(double x) {
return Math.cbrt((x + 1.0)) - Math.cbrt(x);
}
public static double code(double x) {
return Math.cbrt((x + 1.0)) - ((Math.cbrt((x * 4.0)) * Math.cbrt(2.0)) * Math.cbrt(0.125));
}
function code(x) return Float64(cbrt(Float64(x + 1.0)) - cbrt(x)) end
function code(x) return Float64(cbrt(Float64(x + 1.0)) - Float64(Float64(cbrt(Float64(x * 4.0)) * cbrt(2.0)) * cbrt(0.125))) end
code[x_] := N[(N[Power[N[(x + 1.0), $MachinePrecision], 1/3], $MachinePrecision] - N[Power[x, 1/3], $MachinePrecision]), $MachinePrecision]
code[x_] := N[(N[Power[N[(x + 1.0), $MachinePrecision], 1/3], $MachinePrecision] - N[(N[(N[Power[N[(x * 4.0), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[2.0, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[0.125, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\sqrt[3]{x + 1} - \sqrt[3]{x}
\sqrt[3]{x + 1} - \left(\sqrt[3]{x \cdot 4} \cdot \sqrt[3]{2}\right) \cdot \sqrt[3]{0.125}
Results
Initial program 30.1
Applied egg-rr30.3
Applied egg-rr30.2
Final simplification30.2
| Alternative 1 | |
|---|---|
| Error | 30.1 |
| Cost | 13120 |
| Alternative 2 | |
|---|---|
| Error | 31.8 |
| Cost | 6848 |
| Alternative 3 | |
|---|---|
| Error | 61.7 |
| Cost | 64 |
| Alternative 4 | |
|---|---|
| Error | 32.4 |
| Cost | 64 |
herbie shell --seed 2023075
(FPCore (x)
:name "2cbrt (problem 3.3.4)"
:precision binary64
(- (cbrt (+ x 1.0)) (cbrt x)))