Average Error: 0.0 → 0.0
Time: 2.7s
Precision: binary64
\[\frac{x + y}{x - y} \]
\[\frac{x + y}{x - y} \]
(FPCore (x y) :precision binary64 (/ (+ x y) (- x y)))
(FPCore (x y) :precision binary64 (/ (+ x y) (- x y)))
double code(double x, double y) {
	return (x + y) / (x - y);
}
double code(double x, double y) {
	return (x + y) / (x - y);
}
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x + y) / (x - y)
end function
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x + y) / (x - y)
end function
public static double code(double x, double y) {
	return (x + y) / (x - y);
}
public static double code(double x, double y) {
	return (x + y) / (x - y);
}
def code(x, y):
	return (x + y) / (x - y)
def code(x, y):
	return (x + y) / (x - y)
function code(x, y)
	return Float64(Float64(x + y) / Float64(x - y))
end
function code(x, y)
	return Float64(Float64(x + y) / Float64(x - y))
end
function tmp = code(x, y)
	tmp = (x + y) / (x - y);
end
function tmp = code(x, y)
	tmp = (x + y) / (x - y);
end
code[x_, y_] := N[(N[(x + y), $MachinePrecision] / N[(x - y), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(N[(x + y), $MachinePrecision] / N[(x - y), $MachinePrecision]), $MachinePrecision]
\frac{x + y}{x - y}
\frac{x + y}{x - y}

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.0
Target0.0
Herbie0.0
\[\frac{1}{\frac{x}{x + y} - \frac{y}{x + y}} \]

Derivation

  1. Initial program 0.0

    \[\frac{x + y}{x - y} \]
  2. Final simplification0.0

    \[\leadsto \frac{x + y}{x - y} \]

Reproduce

herbie shell --seed 2022192 
(FPCore (x y)
  :name "Linear.Projection:perspective from linear-1.19.1.3, A"
  :precision binary64

  :herbie-target
  (/ 1.0 (- (/ x (+ x y)) (/ y (+ x y))))

  (/ (+ x y) (- x y)))