Average Error: 0.0 → 0.0
Time: 3.6s
Precision: binary64
Cost: 448
\[\left(x + y\right) \cdot \left(1 - z\right) \]
\[\left(1 - z\right) \cdot \left(x + y\right) \]
(FPCore (x y z) :precision binary64 (* (+ x y) (- 1.0 z)))
(FPCore (x y z) :precision binary64 (* (- 1.0 z) (+ x y)))
double code(double x, double y, double z) {
	return (x + y) * (1.0 - z);
}
double code(double x, double y, double z) {
	return (1.0 - z) * (x + y);
}
real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = (x + y) * (1.0d0 - z)
end function
real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = (1.0d0 - z) * (x + y)
end function
public static double code(double x, double y, double z) {
	return (x + y) * (1.0 - z);
}
public static double code(double x, double y, double z) {
	return (1.0 - z) * (x + y);
}
def code(x, y, z):
	return (x + y) * (1.0 - z)
def code(x, y, z):
	return (1.0 - z) * (x + y)
function code(x, y, z)
	return Float64(Float64(x + y) * Float64(1.0 - z))
end
function code(x, y, z)
	return Float64(Float64(1.0 - z) * Float64(x + y))
end
function tmp = code(x, y, z)
	tmp = (x + y) * (1.0 - z);
end
function tmp = code(x, y, z)
	tmp = (1.0 - z) * (x + y);
end
code[x_, y_, z_] := N[(N[(x + y), $MachinePrecision] * N[(1.0 - z), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_] := N[(N[(1.0 - z), $MachinePrecision] * N[(x + y), $MachinePrecision]), $MachinePrecision]
\left(x + y\right) \cdot \left(1 - z\right)
\left(1 - z\right) \cdot \left(x + y\right)

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\left(x + y\right) \cdot \left(1 - z\right) \]
  2. Final simplification0.0

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

Alternatives

Alternative 1
Error12.6
Cost1360
\[\begin{array}{l} t_0 := x \cdot \left(-z\right)\\ \mathbf{if}\;1 - z \leq -8 \cdot 10^{+205}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;1 - z \leq -5 \cdot 10^{+90}:\\ \;\;\;\;y \cdot \left(-z\right)\\ \mathbf{elif}\;1 - z \leq -20:\\ \;\;\;\;t_0\\ \mathbf{elif}\;1 - z \leq 1.000000000001:\\ \;\;\;\;x + y\\ \mathbf{else}:\\ \;\;\;\;y \cdot \left(1 - z\right)\\ \end{array} \]
Alternative 2
Error31.3
Cost1360
\[\begin{array}{l} \mathbf{if}\;1 - z \leq -8 \cdot 10^{+205}:\\ \;\;\;\;x \cdot \left(-z\right)\\ \mathbf{elif}\;1 - z \leq -5 \cdot 10^{+90}:\\ \;\;\;\;y \cdot \left(-z\right)\\ \mathbf{elif}\;1 - z \leq 1:\\ \;\;\;\;x - x \cdot z\\ \mathbf{elif}\;1 - z \leq 1.000000000001:\\ \;\;\;\;x + y\\ \mathbf{else}:\\ \;\;\;\;y \cdot \left(1 - z\right)\\ \end{array} \]
Alternative 3
Error1.7
Cost904
\[\begin{array}{l} t_0 := z \cdot \left(\left(-y\right) - x\right)\\ \mathbf{if}\;1 - z \leq -20:\\ \;\;\;\;t_0\\ \mathbf{elif}\;1 - z \leq 2:\\ \;\;\;\;x + y\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 4
Error12.8
Cost784
\[\begin{array}{l} t_0 := x \cdot \left(-z\right)\\ t_1 := y \cdot \left(-z\right)\\ \mathbf{if}\;z \leq -432.59138076847006:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 0.01988196549529779:\\ \;\;\;\;x + y\\ \mathbf{elif}\;z \leq 3 \cdot 10^{+79}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 7 \cdot 10^{+205}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 5
Error12.8
Cost520
\[\begin{array}{l} t_0 := y \cdot \left(-z\right)\\ \mathbf{if}\;z \leq -432.59138076847006:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 0.01988196549529779:\\ \;\;\;\;x + y\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 6
Error39.1
Cost460
\[\begin{array}{l} \mathbf{if}\;x \leq -62147770860.630646:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq -1.1724524457345529 \cdot 10^{-32}:\\ \;\;\;\;y\\ \mathbf{elif}\;x \leq -1.3571155631350517 \cdot 10^{-94}:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;y\\ \end{array} \]
Alternative 7
Error23.7
Cost192
\[x + y \]
Alternative 8
Error43.2
Cost64
\[y \]

Error

Reproduce

herbie shell --seed 2022291 
(FPCore (x y z)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, H"
  :precision binary64
  (* (+ x y) (- 1.0 z)))