Diagrams.Segment:$catParam from diagrams-lib-1.3.0.3, A

Average Accuracy: 84.0% → 99.6%

Time: 2.4s

Precision: binary64

Cost: 448

Math

\[\left(\left(x \cdot 3\right) \cdot x\right) \cdot y \]

↓

\[\left(x \cdot 3\right) \cdot \left(x \cdot y\right) \]

FPCore

(FPCore (x y) :precision binary64 (* (* (* x 3.0) x) y))

↓

(FPCore (x y) :precision binary64 (* (* x 3.0) (* x y)))

C

double code(double x, double y) {
	return ((x * 3.0) * x) * y;
}

↓

double code(double x, double y) {
	return (x * 3.0) * (x * y);
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = ((x * 3.0d0) * x) * y
end function

↓

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x * 3.0d0) * (x * y)
end function

Java

public static double code(double x, double y) {
	return ((x * 3.0) * x) * y;
}

↓

public static double code(double x, double y) {
	return (x * 3.0) * (x * y);
}

Python

def code(x, y):
	return ((x * 3.0) * x) * y

↓

def code(x, y):
	return (x * 3.0) * (x * y)

Julia

function code(x, y)
	return Float64(Float64(Float64(x * 3.0) * x) * y)
end

↓

function code(x, y)
	return Float64(Float64(x * 3.0) * Float64(x * y))
end

MATLAB

function tmp = code(x, y)
	tmp = ((x * 3.0) * x) * y;
end

↓

function tmp = code(x, y)
	tmp = (x * 3.0) * (x * y);
end

Wolfram

code[x_, y_] := N[(N[(N[(x * 3.0), $MachinePrecision] * x), $MachinePrecision] * y), $MachinePrecision]

↓

code[x_, y_] := N[(N[(x * 3.0), $MachinePrecision] * N[(x * y), $MachinePrecision]), $MachinePrecision]

Target

Original	84.0%
Target	99.6%
Herbie	99.6%

\[\left(x \cdot 3\right) \cdot \left(x \cdot y\right) \]

Derivation

1. Initial program 84.0%

   \[\left(\left(x \cdot 3\right) \cdot x\right) \cdot y \]

2. Simplified 99.6%

   \[\leadsto \color{blue}{\left(x \cdot 3\right) \cdot \left(x \cdot y\right)} \]
   Proof

   [Start] 84.0	\[ \left(\left(x \cdot 3\right) \cdot x\right) \cdot y \]
   associate-*l* [=>] 99.6	\[ \color{blue}{\left(x \cdot 3\right) \cdot \left(x \cdot y\right)} \]

3. Final simplification 99.6%

   \[\leadsto \left(x \cdot 3\right) \cdot \left(x \cdot y\right) \]

Alternatives

Alternative 1
Accuracy	99.6%
Cost	448

\[3 \cdot \left(x \cdot \left(x \cdot y\right)\right) \]

Reproduce

herbie shell --seed 2023129 
(FPCore (x y)
  :name "Diagrams.Segment:$catParam from diagrams-lib-1.3.0.3, A"
  :precision binary64

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

  (* (* (* x 3.0) x) y))