?

Average Error: 0.1 → 0.1
Time: 10.2s
Precision: binary64
Cost: 448

?

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

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation?

  1. Initial program 0.1

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

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

Alternatives

Alternative 1
Error15.0
Cost912
\[\begin{array}{l} t_0 := x \cdot \left(y \cdot \left(-x\right)\right)\\ \mathbf{if}\;y \leq -8.9 \cdot 10^{+102}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq 1.5 \cdot 10^{-15}:\\ \;\;\;\;x\\ \mathbf{elif}\;y \leq 5.2 \cdot 10^{+85}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq 8.8 \cdot 10^{+133}:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 2
Error21.6
Cost64
\[x \]

Error

Reproduce?

herbie shell --seed 2023077 
(FPCore (x y)
  :name "Numeric.SpecFunctions:log1p from math-functions-0.1.5.2, A"
  :precision binary64
  (* x (- 1.0 (* x y))))