ab-angle->ABCF D

Average Accuracy: 53.8% → 71.2%

Time: 6.5s

Precision: binary64

Cost: 512

Math

\[-\left(\left(a \cdot a\right) \cdot b\right) \cdot b \]

↓

\[\left(a \cdot b\right) \cdot \left(a \cdot \left(-b\right)\right) \]

FPCore

(FPCore (a b) :precision binary64 (- (* (* (* a a) b) b)))

↓

(FPCore (a b) :precision binary64 (* (* a b) (* a (- b))))

C

double code(double a, double b) {
	return -(((a * a) * b) * b);
}

↓

double code(double a, double b) {
	return (a * b) * (a * -b);
}

Fortran

real(8) function code(a, b)
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    code = -(((a * a) * b) * b)
end function

↓

real(8) function code(a, b)
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    code = (a * b) * (a * -b)
end function

Java

public static double code(double a, double b) {
	return -(((a * a) * b) * b);
}

↓

public static double code(double a, double b) {
	return (a * b) * (a * -b);
}

Python

def code(a, b):
	return -(((a * a) * b) * b)

↓

def code(a, b):
	return (a * b) * (a * -b)

Julia

function code(a, b)
	return Float64(-Float64(Float64(Float64(a * a) * b) * b))
end

↓

function code(a, b)
	return Float64(Float64(a * b) * Float64(a * Float64(-b)))
end

MATLAB

function tmp = code(a, b)
	tmp = -(((a * a) * b) * b);
end

↓

function tmp = code(a, b)
	tmp = (a * b) * (a * -b);
end

Wolfram

code[a_, b_] := (-N[(N[(N[(a * a), $MachinePrecision] * b), $MachinePrecision] * b), $MachinePrecision])

↓

code[a_, b_] := N[(N[(a * b), $MachinePrecision] * N[(a * (-b)), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 54.8%

   \[-\left(\left(a \cdot a\right) \cdot b\right) \cdot b \]

2. Taylor expanded in a around 0 46.6%

   \[\leadsto -\color{blue}{{a}^{2} \cdot {b}^{2}} \]

3. Simplified 70.8%

   \[\leadsto -\color{blue}{{\left(a \cdot b\right)}^{2}} \]
   Step-by-step derivation

   [Start] 46.6	\[ -{a}^{2} \cdot {b}^{2} \]
   unpow2 [=>] 46.6	\[ -\color{blue}{\left(a \cdot a\right)} \cdot {b}^{2} \]
   unpow2 [=>] 46.6	\[ -\left(a \cdot a\right) \cdot \color{blue}{\left(b \cdot b\right)} \]
   swap-sqr [<=] 70.8	\[ -\color{blue}{\left(a \cdot b\right) \cdot \left(a \cdot b\right)} \]
   unpow2 [<=] 70.8	\[ -\color{blue}{{\left(a \cdot b\right)}^{2}} \]

4. Applied egg-rr 70.8%

   \[\leadsto -\color{blue}{\left(a \cdot b\right) \cdot \left(a \cdot b\right)} \]
   Step-by-step derivation

   [Start] 70.8	\[ -{\left(a \cdot b\right)}^{2} \]
   unpow2 [=>] 70.8	\[ -\color{blue}{\left(a \cdot b\right) \cdot \left(a \cdot b\right)} \]

5. Final simplification 70.8%

   \[\leadsto \left(a \cdot b\right) \cdot \left(a \cdot \left(-b\right)\right) \]

Alternatives

Alternative 1
Accuracy	47.7%
Cost	512

\[\left(a \cdot a\right) \cdot \left(b \cdot \left(-b\right)\right) \]

Alternative 2
Accuracy	28.5%
Cost	448

\[a \cdot \left(a \cdot \left(b \cdot b\right)\right) \]

Alternative 3
Accuracy	28.5%
Cost	448

\[a \cdot \left(b \cdot \left(a \cdot b\right)\right) \]

Alternative 4
Accuracy	28.5%
Cost	448

\[b \cdot \left(a \cdot \left(a \cdot b\right)\right) \]

Reproduce

herbie shell --seed 2023157 
(FPCore (a b)
  :name "ab-angle->ABCF D"
  :precision binary64
  (- (* (* (* a a) b) b)))