?

Average Accuracy: 100.0% → 100.0%
Time: 1.8s
Precision: binary64
Cost: 6720

?

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

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation?

  1. Initial program 100.0%

    \[e^{-\left(1 - x \cdot x\right)} \]
  2. Simplified100.0%

    \[\leadsto \color{blue}{e^{x \cdot x + -1}} \]
    Proof

    [Start]100.0

    \[ e^{-\left(1 - x \cdot x\right)} \]

    neg-sub0 [=>]100.0

    \[ e^{\color{blue}{0 - \left(1 - x \cdot x\right)}} \]

    associate--r- [=>]100.0

    \[ e^{\color{blue}{\left(0 - 1\right) + x \cdot x}} \]

    metadata-eval [=>]100.0

    \[ e^{\color{blue}{-1} + x \cdot x} \]

    +-commutative [=>]100.0

    \[ e^{\color{blue}{x \cdot x + -1}} \]
  3. Final simplification100.0%

    \[\leadsto e^{x \cdot x + -1} \]

Alternatives

Alternative 1
Accuracy98.6%
Cost6464
\[e^{-1} \]

Error

Reproduce?

herbie shell --seed 2023129 
(FPCore (x)
  :name "exp neg sub"
  :precision binary64
  (exp (- (- 1.0 (* x x)))))