Average Error: 0.0 → 0.0
Time: 1.0s
Precision: binary64
Cost: 320
\[x \cdot \left(y + 1\right) \]
\[x + y \cdot x \]
(FPCore (x y) :precision binary64 (* x (+ y 1.0)))
(FPCore (x y) :precision binary64 (+ x (* y x)))
double code(double x, double y) {
	return x * (y + 1.0);
}
double code(double x, double y) {
	return x + (y * x);
}
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = x * (y + 1.0d0)
end function
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = x + (y * x)
end function
public static double code(double x, double y) {
	return x * (y + 1.0);
}
public static double code(double x, double y) {
	return x + (y * x);
}
def code(x, y):
	return x * (y + 1.0)
def code(x, y):
	return x + (y * x)
function code(x, y)
	return Float64(x * Float64(y + 1.0))
end
function code(x, y)
	return Float64(x + Float64(y * x))
end
function tmp = code(x, y)
	tmp = x * (y + 1.0);
end
function tmp = code(x, y)
	tmp = x + (y * x);
end
code[x_, y_] := N[(x * N[(y + 1.0), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(x + N[(y * x), $MachinePrecision]), $MachinePrecision]
x \cdot \left(y + 1\right)
x + y \cdot x

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.0
Target0.0
Herbie0.0
\[x + x \cdot y \]

Derivation

  1. Initial program 0.0

    \[x \cdot \left(y + 1\right) \]
  2. Taylor expanded in y around 0 0.0

    \[\leadsto \color{blue}{y \cdot x + x} \]
  3. Final simplification0.0

    \[\leadsto x + y \cdot x \]

Alternatives

Alternative 1
Error1.5
Cost456
\[\begin{array}{l} \mathbf{if}\;y \leq -1:\\ \;\;\;\;y \cdot x\\ \mathbf{elif}\;y \leq 1:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;y \cdot x\\ \end{array} \]
Alternative 2
Error0.0
Cost320
\[x \cdot \left(y + 1\right) \]
Alternative 3
Error27.6
Cost64
\[x \]

Error

Reproduce

herbie shell --seed 2022340 
(FPCore (x y)
  :name "Data.Colour.RGBSpace.HSL:hsl from colour-2.3.3, B"
  :precision binary64

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

  (* x (+ y 1.0)))