Average Error: 0.0 → 0.0
Time: 894.0ms
Precision: binary64
Cost: 320
\[\frac{x \cdot y}{2} \]
↓
\[\frac{x \cdot y}{2} \]
(FPCore (x y) :precision binary64 (/ (* x y) 2.0))
↓
(FPCore (x y) :precision binary64 (/ (* x y) 2.0))
double code(double x, double y) {
	return (x * y) / 2.0;
}
↓
double code(double x, double y) {
	return (x * y) / 2.0;
}

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x * y) / 2.0d0
end function
↓
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x * y) / 2.0d0
end function

public static double code(double x, double y) {
	return (x * y) / 2.0;
}
↓
public static double code(double x, double y) {
	return (x * y) / 2.0;
}

def code(x, y):
	return (x * y) / 2.0
↓
def code(x, y):
	return (x * y) / 2.0

function code(x, y)
	return Float64(Float64(x * y) / 2.0)
end
↓
function code(x, y)
	return Float64(Float64(x * y) / 2.0)
end

function tmp = code(x, y)
	tmp = (x * y) / 2.0;
end
↓
function tmp = code(x, y)
	tmp = (x * y) / 2.0;
end

code[x_, y_] := N[(N[(x * y), $MachinePrecision] / 2.0), $MachinePrecision]
↓
code[x_, y_] := N[(N[(x * y), $MachinePrecision] / 2.0), $MachinePrecision]

\frac{x \cdot y}{2}
↓
\frac{x \cdot y}{2}

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\frac{x \cdot y}{2} \]

  2. Final simplification0.0

    \[\leadsto \frac{x \cdot y}{2} \]

Reproduce

herbie shell --seed 2022295 
(FPCore (x y)
  :name "Numeric.Interval.Internal:scale from intervals-0.7.1, B"
  :precision binary64
  (/ (* x y) 2.0))