?

Average Error: 16.1 → 0.0
Time: 4.2s
Precision: binary64
Cost: 448

?

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

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

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

Derivation?

  1. Initial program 16.1

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

    \[\leadsto \color{blue}{\left(1 + y \cdot x\right) - y} \]
  3. Final simplification0.0

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

Alternatives

Alternative 1
Error18.6
Cost720
\[\begin{array}{l} \mathbf{if}\;y \leq -1.45 \cdot 10^{+18}:\\ \;\;\;\;-y\\ \mathbf{elif}\;y \leq -7.6 \cdot 10^{-36}:\\ \;\;\;\;y \cdot x\\ \mathbf{elif}\;y \leq 4.4 \cdot 10^{-13}:\\ \;\;\;\;1\\ \mathbf{elif}\;y \leq 2.3 \cdot 10^{+43}:\\ \;\;\;\;y \cdot x\\ \mathbf{else}:\\ \;\;\;\;-y\\ \end{array} \]
Alternative 2
Error9.4
Cost584
\[\begin{array}{l} t_0 := y \cdot \left(-1 + x\right)\\ \mathbf{if}\;y \leq -4.3 \cdot 10^{-35}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq 9.8 \cdot 10^{-13}:\\ \;\;\;\;1 - y\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 3
Error9.4
Cost584
\[\begin{array}{l} \mathbf{if}\;y \leq -4.8 \cdot 10^{-36}:\\ \;\;\;\;y \cdot \left(-1 + x\right)\\ \mathbf{elif}\;y \leq 8.2 \cdot 10^{-13}:\\ \;\;\;\;1 - y\\ \mathbf{else}:\\ \;\;\;\;y \cdot x - y\\ \end{array} \]
Alternative 4
Error10.1
Cost456
\[\begin{array}{l} \mathbf{if}\;x \leq -3.5 \cdot 10^{+60}:\\ \;\;\;\;y \cdot x\\ \mathbf{elif}\;x \leq 1.15 \cdot 10^{+55}:\\ \;\;\;\;1 - y\\ \mathbf{else}:\\ \;\;\;\;y \cdot x\\ \end{array} \]
Alternative 5
Error19.4
Cost392
\[\begin{array}{l} \mathbf{if}\;y \leq -3.2 \cdot 10^{-19}:\\ \;\;\;\;-y\\ \mathbf{elif}\;y \leq 2.15 \cdot 10^{+15}:\\ \;\;\;\;1\\ \mathbf{else}:\\ \;\;\;\;-y\\ \end{array} \]
Alternative 6
Error36.0
Cost64
\[1 \]

Error

Reproduce?

herbie shell --seed 2023077 
(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))))