?

Average Error: 6.0 → 6.1
Time: 8.2s
Precision: binary64
Cost: 704

?

\[\frac{\left(1 - x\right) \cdot \left(3 - x\right)}{y \cdot 3} \]
\[0.3333333333333333 \cdot \frac{\left(3 - x\right) \cdot \left(1 - x\right)}{y} \]
(FPCore (x y) :precision binary64 (/ (* (- 1.0 x) (- 3.0 x)) (* y 3.0)))
(FPCore (x y)
 :precision binary64
 (* 0.3333333333333333 (/ (* (- 3.0 x) (- 1.0 x)) y)))
double code(double x, double y) {
	return ((1.0 - x) * (3.0 - x)) / (y * 3.0);
}
double code(double x, double y) {
	return 0.3333333333333333 * (((3.0 - x) * (1.0 - x)) / y);
}
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = ((1.0d0 - x) * (3.0d0 - x)) / (y * 3.0d0)
end function
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = 0.3333333333333333d0 * (((3.0d0 - x) * (1.0d0 - x)) / y)
end function
public static double code(double x, double y) {
	return ((1.0 - x) * (3.0 - x)) / (y * 3.0);
}
public static double code(double x, double y) {
	return 0.3333333333333333 * (((3.0 - x) * (1.0 - x)) / y);
}
def code(x, y):
	return ((1.0 - x) * (3.0 - x)) / (y * 3.0)
def code(x, y):
	return 0.3333333333333333 * (((3.0 - x) * (1.0 - x)) / y)
function code(x, y)
	return Float64(Float64(Float64(1.0 - x) * Float64(3.0 - x)) / Float64(y * 3.0))
end
function code(x, y)
	return Float64(0.3333333333333333 * Float64(Float64(Float64(3.0 - x) * Float64(1.0 - x)) / y))
end
function tmp = code(x, y)
	tmp = ((1.0 - x) * (3.0 - x)) / (y * 3.0);
end
function tmp = code(x, y)
	tmp = 0.3333333333333333 * (((3.0 - x) * (1.0 - x)) / y);
end
code[x_, y_] := N[(N[(N[(1.0 - x), $MachinePrecision] * N[(3.0 - x), $MachinePrecision]), $MachinePrecision] / N[(y * 3.0), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(0.3333333333333333 * N[(N[(N[(3.0 - x), $MachinePrecision] * N[(1.0 - x), $MachinePrecision]), $MachinePrecision] / y), $MachinePrecision]), $MachinePrecision]
\frac{\left(1 - x\right) \cdot \left(3 - x\right)}{y \cdot 3}
0.3333333333333333 \cdot \frac{\left(3 - x\right) \cdot \left(1 - x\right)}{y}

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original6.0
Target0.1
Herbie6.1
\[\frac{1 - x}{y} \cdot \frac{3 - x}{3} \]

Derivation?

  1. Initial program 6.0

    \[\frac{\left(1 - x\right) \cdot \left(3 - x\right)}{y \cdot 3} \]
  2. Taylor expanded in y around 0 6.1

    \[\leadsto \color{blue}{0.3333333333333333 \cdot \frac{\left(3 - x\right) \cdot \left(1 - x\right)}{y}} \]
  3. Final simplification6.1

    \[\leadsto 0.3333333333333333 \cdot \frac{\left(3 - x\right) \cdot \left(1 - x\right)}{y} \]

Alternatives

Alternative 1
Error21.2
Cost448
\[\frac{1 + -1.3333333333333333 \cdot x}{y} \]
Alternative 2
Error21.5
Cost192
\[\frac{1}{y} \]

Error

Reproduce?

herbie shell --seed 2023090 
(FPCore (x y)
  :name "Diagrams.TwoD.Arc:bezierFromSweepQ1 from diagrams-lib-1.3.0.3"
  :precision binary64

  :herbie-target
  (* (/ (- 1.0 x) y) (/ (- 3.0 x) 3.0))

  (/ (* (- 1.0 x) (- 3.0 x)) (* y 3.0)))