?

Average Error: 16.8 → 0.0
Time: 34.1s
Precision: binary64
Cost: 448

?

\[x + \left(1 - x\right) \cdot \left(1 - y\right) \]
\[\left(y \cdot x - y\right) - -1 \]
(FPCore (x y) :precision binary64 (+ x (* (- 1.0 x) (- 1.0 y))))
(FPCore (x y) :precision binary64 (- (- (* y x) y) -1.0))
double code(double x, double y) {
	return x + ((1.0 - x) * (1.0 - y));
}
double code(double x, double y) {
	return ((y * x) - y) - -1.0;
}
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = x + ((1.0d0 - x) * (1.0d0 - y))
end function
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = ((y * x) - y) - (-1.0d0)
end function
public static double code(double x, double y) {
	return x + ((1.0 - x) * (1.0 - y));
}
public static double code(double x, double y) {
	return ((y * x) - y) - -1.0;
}
def code(x, y):
	return x + ((1.0 - x) * (1.0 - y))
def code(x, y):
	return ((y * x) - y) - -1.0
function code(x, y)
	return Float64(x + Float64(Float64(1.0 - x) * Float64(1.0 - y)))
end
function code(x, y)
	return Float64(Float64(Float64(y * x) - y) - -1.0)
end
function tmp = code(x, y)
	tmp = x + ((1.0 - x) * (1.0 - y));
end
function tmp = code(x, y)
	tmp = ((y * x) - y) - -1.0;
end
code[x_, y_] := N[(x + N[(N[(1.0 - x), $MachinePrecision] * N[(1.0 - y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(N[(N[(y * x), $MachinePrecision] - y), $MachinePrecision] - -1.0), $MachinePrecision]
x + \left(1 - x\right) \cdot \left(1 - y\right)
\left(y \cdot x - y\right) - -1

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original16.8
Target0.0
Herbie0.0
\[y \cdot x - \left(y - 1\right) \]

Derivation?

  1. Initial program 16.8

    \[x + \left(1 - x\right) \cdot \left(1 - y\right) \]
  2. Taylor expanded in x around -inf 0.0

    \[\leadsto \color{blue}{\left(1 + y \cdot x\right) - y} \]
  3. Simplified0.0

    \[\leadsto \color{blue}{\left(y \cdot x - y\right) - -1} \]
    Proof

Alternatives

Alternative 1
Error20.1
Cost984
\[\begin{array}{l} \mathbf{if}\;y \leq -9.6 \cdot 10^{+88}:\\ \;\;\;\;-y\\ \mathbf{elif}\;y \leq -7.6 \cdot 10^{-70}:\\ \;\;\;\;y \cdot x\\ \mathbf{elif}\;y \leq 1.12 \cdot 10^{-15}:\\ \;\;\;\;1\\ \mathbf{elif}\;y \leq 3.1 \cdot 10^{+124}:\\ \;\;\;\;y \cdot x\\ \mathbf{elif}\;y \leq 1.2 \cdot 10^{+158}:\\ \;\;\;\;-y\\ \mathbf{elif}\;y \leq 2.4 \cdot 10^{+180}:\\ \;\;\;\;y \cdot x\\ \mathbf{else}:\\ \;\;\;\;-y\\ \end{array} \]
Alternative 2
Error0.9
Cost840
\[\begin{array}{l} t_0 := \left(-1 + x\right) \cdot y\\ \mathbf{if}\;1 - y \leq -20000000000:\\ \;\;\;\;t_0\\ \mathbf{elif}\;1 - y \leq 1.00002:\\ \;\;\;\;y \cdot x - -1\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 3
Error9.9
Cost584
\[\begin{array}{l} t_0 := \left(-1 + x\right) \cdot y\\ \mathbf{if}\;y \leq -1.8 \cdot 10^{-85}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq 5 \cdot 10^{-16}:\\ \;\;\;\;1 - y\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 4
Error9.7
Cost456
\[\begin{array}{l} \mathbf{if}\;x \leq -3.8 \cdot 10^{+35}:\\ \;\;\;\;y \cdot x\\ \mathbf{elif}\;x \leq 4.2 \cdot 10^{+17}:\\ \;\;\;\;1 - y\\ \mathbf{else}:\\ \;\;\;\;y \cdot x\\ \end{array} \]
Alternative 5
Error19.1
Cost392
\[\begin{array}{l} \mathbf{if}\;y \leq -0.00115:\\ \;\;\;\;-y\\ \mathbf{elif}\;y \leq 4 \cdot 10^{+16}:\\ \;\;\;\;1\\ \mathbf{else}:\\ \;\;\;\;-y\\ \end{array} \]
Alternative 6
Error36.1
Cost64
\[1 \]

Error

Reproduce?

herbie shell --seed 2023033 
(FPCore (x y)
  :name "Graphics.Rendering.Chart.Plot.Vectors:renderPlotVectors from Chart-1.5.3"
  :precision binary64

  :herbie-target
  (- (* y x) (- y 1.0))

  (+ x (* (- 1.0 x) (- 1.0 y))))