?

Average Error: 0.0 → 0.0
Time: 2.8s
Precision: binary64
Cost: 6592

?

\[-1000 \leq x \land x \leq 1000\]
\[e^{x} \cdot x \]
\[x \cdot e^{x} \]
(FPCore (x) :precision binary64 (* (exp x) x))
(FPCore (x) :precision binary64 (* x (exp x)))
double code(double x) {
	return exp(x) * x;
}
double code(double x) {
	return x * exp(x);
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = exp(x) * x
end function
real(8) function code(x)
    real(8), intent (in) :: x
    code = x * exp(x)
end function
public static double code(double x) {
	return Math.exp(x) * x;
}
public static double code(double x) {
	return x * Math.exp(x);
}
def code(x):
	return math.exp(x) * x
def code(x):
	return x * math.exp(x)
function code(x)
	return Float64(exp(x) * x)
end
function code(x)
	return Float64(x * exp(x))
end
function tmp = code(x)
	tmp = exp(x) * x;
end
function tmp = code(x)
	tmp = x * exp(x);
end
code[x_] := N[(N[Exp[x], $MachinePrecision] * x), $MachinePrecision]
code[x_] := N[(x * N[Exp[x], $MachinePrecision]), $MachinePrecision]
e^{x} \cdot x
x \cdot e^{x}

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation?

  1. Initial program 0.0

    \[e^{x} \cdot x \]
  2. Final simplification0.0

    \[\leadsto x \cdot e^{x} \]

Alternatives

Alternative 1
Error1.1
Cost320
\[x + x \cdot x \]
Alternative 2
Error1.9
Cost64
\[x \]

Error

Reproduce?

herbie shell --seed 1 
(FPCore (x)
  :name "exp(x)*x"
  :precision binary64
  :pre (and (<= -1000.0 x) (<= x 1000.0))
  (* (exp x) x))