Diagrams.Tangent:$catParam from diagrams-lib-1.3.0.3, D

Average Error: 0.2 → 0.1

Time: 6.7s

Precision: binary64

Cost: 832

Math

\[3 \cdot \left(\left(\left(x \cdot 3\right) \cdot x - x \cdot 4\right) + 1\right) \]

↓

\[\left(3 + \left(x \cdot x\right) \cdot 9\right) + 3 \cdot \left(x \cdot -4\right) \]

FPCore

(FPCore (x) :precision binary64 (* 3.0 (+ (- (* (* x 3.0) x) (* x 4.0)) 1.0)))

↓

(FPCore (x) :precision binary64 (+ (+ 3.0 (* (* x x) 9.0)) (* 3.0 (* x -4.0))))

C

double code(double x) {
	return 3.0 * ((((x * 3.0) * x) - (x * 4.0)) + 1.0);
}

↓

double code(double x) {
	return (3.0 + ((x * x) * 9.0)) + (3.0 * (x * -4.0));
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = 3.0d0 * ((((x * 3.0d0) * x) - (x * 4.0d0)) + 1.0d0)
end function

↓

real(8) function code(x)
    real(8), intent (in) :: x
    code = (3.0d0 + ((x * x) * 9.0d0)) + (3.0d0 * (x * (-4.0d0)))
end function

Java

public static double code(double x) {
	return 3.0 * ((((x * 3.0) * x) - (x * 4.0)) + 1.0);
}

↓

public static double code(double x) {
	return (3.0 + ((x * x) * 9.0)) + (3.0 * (x * -4.0));
}

Python

def code(x):
	return 3.0 * ((((x * 3.0) * x) - (x * 4.0)) + 1.0)

↓

def code(x):
	return (3.0 + ((x * x) * 9.0)) + (3.0 * (x * -4.0))

Julia

function code(x)
	return Float64(3.0 * Float64(Float64(Float64(Float64(x * 3.0) * x) - Float64(x * 4.0)) + 1.0))
end

↓

function code(x)
	return Float64(Float64(3.0 + Float64(Float64(x * x) * 9.0)) + Float64(3.0 * Float64(x * -4.0)))
end

MATLAB

function tmp = code(x)
	tmp = 3.0 * ((((x * 3.0) * x) - (x * 4.0)) + 1.0);
end

↓

function tmp = code(x)
	tmp = (3.0 + ((x * x) * 9.0)) + (3.0 * (x * -4.0));
end

Wolfram

code[x_] := N[(3.0 * N[(N[(N[(N[(x * 3.0), $MachinePrecision] * x), $MachinePrecision] - N[(x * 4.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]

↓

code[x_] := N[(N[(3.0 + N[(N[(x * x), $MachinePrecision] * 9.0), $MachinePrecision]), $MachinePrecision] + N[(3.0 * N[(x * -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Target

Original	0.2
Target	0.1
Herbie	0.1

\[3 + \left(\left(9 \cdot x\right) \cdot x - 12 \cdot x\right) \]

Derivation

1. Initial program 0.2

   \[3 \cdot \left(\left(\left(x \cdot 3\right) \cdot x - x \cdot 4\right) + 1\right) \]

2. Applied egg-rr 0.1

   \[\leadsto \color{blue}{\left(3 + \left(x \cdot x\right) \cdot 9\right) + \left(x \cdot -4\right) \cdot 3} \]

3. Final simplification 0.1

   \[\leadsto \left(3 + \left(x \cdot x\right) \cdot 9\right) + 3 \cdot \left(x \cdot -4\right) \]

Alternatives

Alternative 1
Error	1.0
Cost	713

\[\begin{array}{l} \mathbf{if}\;x \leq -0.58 \lor \neg \left(x \leq 0.58\right):\\ \;\;\;\;x \cdot \left(x \cdot 9 + -12\right)\\ \mathbf{else}:\\ \;\;\;\;3 + x \cdot -12\\ \end{array} \]

Alternative 2
Error	2.0
Cost	585

\[\begin{array}{l} \mathbf{if}\;x \leq -0.58 \lor \neg \left(x \leq 0.2\right):\\ \;\;\;\;x \cdot \left(x \cdot 9\right)\\ \mathbf{else}:\\ \;\;\;\;3\\ \end{array} \]

Alternative 3
Error	2.0
Cost	584

\[\begin{array}{l} \mathbf{if}\;x \leq -0.58:\\ \;\;\;\;x \cdot \left(x \cdot 9\right)\\ \mathbf{elif}\;x \leq 0.2:\\ \;\;\;\;3\\ \mathbf{else}:\\ \;\;\;\;\left(x \cdot x\right) \cdot 9\\ \end{array} \]

Alternative 4
Error	1.5
Cost	584

\[\begin{array}{l} \mathbf{if}\;x \leq -1.55:\\ \;\;\;\;x \cdot \left(x \cdot 9\right)\\ \mathbf{elif}\;x \leq 1:\\ \;\;\;\;3 + x \cdot -12\\ \mathbf{else}:\\ \;\;\;\;\left(x \cdot x\right) \cdot 9\\ \end{array} \]

Alternative 5
Error	0.1
Cost	576

\[3 + x \cdot \left(x \cdot 9 + -12\right) \]

Alternative 6
Error	21.1
Cost	64

\[3 \]

Reproduce

herbie shell --seed 2023016 
(FPCore (x)
  :name "Diagrams.Tangent:$catParam from diagrams-lib-1.3.0.3, D"
  :precision binary64

  :herbie-target
  (+ 3.0 (- (* (* 9.0 x) x) (* 12.0 x)))

  (* 3.0 (+ (- (* (* x 3.0) x) (* x 4.0)) 1.0)))