Average Error: 0.1 → 0.1
Time: 7.7s
Precision: binary64
Cost: 576
\[1 - x \cdot \left(0.253 + x \cdot 0.12\right) \]
\[1 - x \cdot \left(0.253 + x \cdot 0.12\right) \]
(FPCore (x) :precision binary64 (- 1.0 (* x (+ 0.253 (* x 0.12)))))
(FPCore (x) :precision binary64 (- 1.0 (* x (+ 0.253 (* x 0.12)))))
double code(double x) {
	return 1.0 - (x * (0.253 + (x * 0.12)));
}
double code(double x) {
	return 1.0 - (x * (0.253 + (x * 0.12)));
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = 1.0d0 - (x * (0.253d0 + (x * 0.12d0)))
end function
real(8) function code(x)
    real(8), intent (in) :: x
    code = 1.0d0 - (x * (0.253d0 + (x * 0.12d0)))
end function
public static double code(double x) {
	return 1.0 - (x * (0.253 + (x * 0.12)));
}
public static double code(double x) {
	return 1.0 - (x * (0.253 + (x * 0.12)));
}
def code(x):
	return 1.0 - (x * (0.253 + (x * 0.12)))
def code(x):
	return 1.0 - (x * (0.253 + (x * 0.12)))
function code(x)
	return Float64(1.0 - Float64(x * Float64(0.253 + Float64(x * 0.12))))
end
function code(x)
	return Float64(1.0 - Float64(x * Float64(0.253 + Float64(x * 0.12))))
end
function tmp = code(x)
	tmp = 1.0 - (x * (0.253 + (x * 0.12)));
end
function tmp = code(x)
	tmp = 1.0 - (x * (0.253 + (x * 0.12)));
end
code[x_] := N[(1.0 - N[(x * N[(0.253 + N[(x * 0.12), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_] := N[(1.0 - N[(x * N[(0.253 + N[(x * 0.12), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
1 - x \cdot \left(0.253 + x \cdot 0.12\right)
1 - x \cdot \left(0.253 + x \cdot 0.12\right)

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.1

    \[1 - x \cdot \left(0.253 + x \cdot 0.12\right) \]
  2. Final simplification0.1

    \[\leadsto 1 - x \cdot \left(0.253 + x \cdot 0.12\right) \]

Alternatives

Alternative 1
Error1.7
Cost584
\[\begin{array}{l} t_0 := \left(x \cdot x\right) \cdot -0.12\\ \mathbf{if}\;x \leq -59.12902663105794:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq 0.07561304932366755:\\ \;\;\;\;1\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 2
Error1.7
Cost584
\[\begin{array}{l} \mathbf{if}\;x \leq -59.12902663105794:\\ \;\;\;\;x \cdot \left(x \cdot -0.12\right)\\ \mathbf{elif}\;x \leq 0.07561304932366755:\\ \;\;\;\;1\\ \mathbf{else}:\\ \;\;\;\;\left(x \cdot x\right) \cdot -0.12\\ \end{array} \]
Alternative 3
Error1.3
Cost584
\[\begin{array}{l} \mathbf{if}\;x \leq -59.12902663105794:\\ \;\;\;\;x \cdot \left(x \cdot -0.12\right)\\ \mathbf{elif}\;x \leq 0.07561304932366755:\\ \;\;\;\;1 + x \cdot -0.253\\ \mathbf{else}:\\ \;\;\;\;\left(x \cdot x\right) \cdot -0.12\\ \end{array} \]
Alternative 4
Error1.7
Cost448
\[1 + \left(x \cdot x\right) \cdot -0.12 \]
Alternative 5
Error21.4
Cost64
\[1 \]

Error

Reproduce

herbie shell --seed 2022228 
(FPCore (x)
  :name "Numeric.SpecFunctions:invIncompleteGamma from math-functions-0.1.5.2, A"
  :precision binary64
  (- 1.0 (* x (+ 0.253 (* x 0.12)))))