Examples.Basics.ProofTests:f4 from sbv-4.4

Average Error: 0.0 → 0.0

Time: 4.6s

Precision: binary64

Cost: 704

\[ \begin{array}{c}[x, y] = \mathsf{sort}([x, y])\\ \end{array} \]

Math

\[\left(x \cdot x + \left(x \cdot 2\right) \cdot y\right) + y \cdot y \]

↓

\[x \cdot \left(y + \left(y + x\right)\right) + y \cdot y \]

FPCore

(FPCore (x y) :precision binary64 (+ (+ (* x x) (* (* x 2.0) y)) (* y y)))

↓

(FPCore (x y) :precision binary64 (+ (* x (+ y (+ y x))) (* y y)))

C

double code(double x, double y) {
	return ((x * x) + ((x * 2.0) * y)) + (y * y);
}

↓

double code(double x, double y) {
	return (x * (y + (y + x))) + (y * y);
}

Fortran

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

↓

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x * (y + (y + x))) + (y * y)
end function

Java

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

↓

public static double code(double x, double y) {
	return (x * (y + (y + x))) + (y * y);
}

Python

def code(x, y):
	return ((x * x) + ((x * 2.0) * y)) + (y * y)

↓

def code(x, y):
	return (x * (y + (y + x))) + (y * y)

Julia

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

↓

function code(x, y)
	return Float64(Float64(x * Float64(y + Float64(y + x))) + Float64(y * y))
end

MATLAB

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

↓

function tmp = code(x, y)
	tmp = (x * (y + (y + x))) + (y * y);
end

Wolfram

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

↓

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

Target

Original	0.0
Target	0.0
Herbie	0.0

\[x \cdot x + \left(y \cdot y + \left(x \cdot y\right) \cdot 2\right) \]

Derivation

1. Initial program 0.0

   \[\left(x \cdot x + \left(x \cdot 2\right) \cdot y\right) + y \cdot y \]

2. Applied egg-rr 0.0

   \[\leadsto \color{blue}{\left(x \cdot \left(x + \left(y + y\right)\right) - 0\right)} + y \cdot y \]

3. Simplified 0.0

   \[\leadsto \color{blue}{x \cdot \left(y + \left(y + x\right)\right)} + y \cdot y \]
   Proof

   [Start] 0.0	\[ \left(x \cdot \left(x + \left(y + y\right)\right) - 0\right) + y \cdot y \]
   rational_best_oopsla_all_46_json_45_simplify-81 [=>] 0.0	\[ \color{blue}{x \cdot \left(x + \left(y + y\right)\right)} + y \cdot y \]
   rational_best_oopsla_all_46_json_45_simplify-82 [=>] 0.0	\[ x \cdot \color{blue}{\left(y + \left(x + y\right)\right)} + y \cdot y \]
   rational_best_oopsla_all_46_json_45_simplify-35 [=>] 0.0	\[ x \cdot \left(y + \color{blue}{\left(y + x\right)}\right) + y \cdot y \]

4. Final simplification 0.0

   \[\leadsto x \cdot \left(y + \left(y + x\right)\right) + y \cdot y \]

Alternatives

Alternative 1
Error	0.0
Cost	704

\[x \cdot x + y \cdot \left(\left(x + x\right) + y\right) \]

Alternative 2
Error	0.0
Cost	448

\[\left(y + x\right) \cdot \left(y + x\right) \]

Alternative 3
Error	55.0
Cost	320

\[2 \cdot \left(y \cdot x\right) \]

Reproduce

herbie shell --seed 2023090 
(FPCore (x y)
  :name "Examples.Basics.ProofTests:f4 from sbv-4.4"
  :precision binary64

  :herbie-target
  (+ (* x x) (+ (* y y) (* (* x y) 2.0)))

  (+ (+ (* x x) (* (* x 2.0) y)) (* y y)))