Linear.Matrix:fromQuaternion from linear-1.19.1.3, B

Average Error: 0.0 → 0.0

Time: 3.2s

Precision: binary64

Cost: 448

Math

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

↓

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

FPCore

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

↓

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

C

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

↓

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

Fortran

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

↓

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

Java

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

↓

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

Python

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

↓

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

Julia

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

↓

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

MATLAB

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

↓

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

Wolfram

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

↓

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

Target

Original	0.0
Target	0.0
Herbie	0.0

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

Derivation

1. Initial program 0.0

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

2. Simplified 0.0

   \[\leadsto \color{blue}{\left(x + y\right) \cdot \left(2 \cdot x\right)} \]
   Proof

   [Start] 0.0	\[ 2 \cdot \left(x \cdot x + x \cdot y\right) \]
   rational_best_oopsla_all_46_json_45_simplify-23 [=>] 0.0	\[ 2 \cdot \color{blue}{\left(x \cdot \left(x + y\right)\right)} \]
   rational_best_oopsla_all_46_json_45_simplify-74 [=>] 0.0	\[ 2 \cdot \color{blue}{\left(\left(x + y\right) \cdot x\right)} \]
   rational_best_oopsla_all_46_json_45_simplify-7 [=>] 0.0	\[ \color{blue}{\left(x + y\right) \cdot \left(2 \cdot x\right)} \]

3. Final simplification 0.0

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

Alternatives

Alternative 1
Error	21.8
Cost	320

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

Alternative 2
Error	21.8
Cost	320

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

Reproduce

herbie shell --seed 2023090 
(FPCore (x y)
  :name "Linear.Matrix:fromQuaternion from linear-1.19.1.3, B"
  :precision binary64

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

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