Diagrams.ThreeD.Shapes:frustum from diagrams-lib-1.3.0.3, B

Average Accuracy: 100.0% → 100.0%

Time: 4.5s

Precision: binary64

Cost: 6720.00

Math

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

↓

\[\mathsf{fma}\left(y - x, z, x\right) \]

FPCore

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

↓

(FPCore (x y z) :precision binary64 (fma (- y x) z x))

C

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

↓

double code(double x, double y, double z) {
	return fma((y - x), z, x);
}

Julia

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

↓

function code(x, y, z)
	return fma(Float64(y - x), z, x)
end

Wolfram

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

↓

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

Derivation

1. Initial program 100.0%

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

2. Simplified 100.0%

   \[\leadsto \color{blue}{\mathsf{fma}\left(y - x, z, x\right)} \]
   Proof

   [Start] 100.0	\[ x + \left(y - x\right) \cdot z \]
   +-commutative [=>] 100.0	\[ \color{blue}{\left(y - x\right) \cdot z + x} \]
   fma-def [=>] 100.0	\[ \color{blue}{\mathsf{fma}\left(y - x, z, x\right)} \]

3. Final simplification 100.0%

   \[\leadsto \mathsf{fma}\left(y - x, z, x\right) \]

Alternatives

Alternative 1
Accuracy	62.5%
Cost	1048.00

\[\begin{array}{l} t_0 := z \cdot \left(-x\right)\\ \mathbf{if}\;z \leq -1.5 \cdot 10^{+152}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq -6.6 \cdot 10^{+125}:\\ \;\;\;\;y \cdot z\\ \mathbf{elif}\;z \leq -2500000000000:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq -8.6 \cdot 10^{-26}:\\ \;\;\;\;y \cdot z\\ \mathbf{elif}\;z \leq 4.1 \cdot 10^{-76}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq 2.65 \cdot 10^{+20}:\\ \;\;\;\;y \cdot z\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 2
Accuracy	72.5%
Cost	850.00

\[\begin{array}{l} \mathbf{if}\;x \leq -2.1 \cdot 10^{-128} \lor \neg \left(x \leq 3.9 \cdot 10^{-262} \lor \neg \left(x \leq 4.6 \cdot 10^{-153}\right) \land x \leq 1.2 \cdot 10^{-85}\right):\\ \;\;\;\;x \cdot \left(1 - z\right)\\ \mathbf{else}:\\ \;\;\;\;y \cdot z\\ \end{array} \]

Alternative 3
Accuracy	80.1%
Cost	585.00

\[\begin{array}{l} \mathbf{if}\;z \leq -3100000 \lor \neg \left(z \leq 4.6 \cdot 10^{-76}\right):\\ \;\;\;\;\left(y - x\right) \cdot z\\ \mathbf{else}:\\ \;\;\;\;x \cdot \left(1 - z\right)\\ \end{array} \]

Alternative 4
Accuracy	80.1%
Cost	585.00

\[\begin{array}{l} \mathbf{if}\;z \leq -3100000 \lor \neg \left(z \leq 8 \cdot 10^{-77}\right):\\ \;\;\;\;\left(y - x\right) \cdot z\\ \mathbf{else}:\\ \;\;\;\;x - x \cdot z\\ \end{array} \]

Alternative 5
Accuracy	100.0%
Cost	576.00

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

Alternative 6
Accuracy	62.3%
Cost	456.00

\[\begin{array}{l} \mathbf{if}\;z \leq -3.9 \cdot 10^{-23}:\\ \;\;\;\;y \cdot z\\ \mathbf{elif}\;z \leq 3.7 \cdot 10^{-76}:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;y \cdot z\\ \end{array} \]

Alternative 7
Accuracy	100.0%
Cost	448.00

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

Alternative 8
Accuracy	45.8%
Cost	64.00

\[x \]

Reproduce

herbie shell --seed 2023096 
(FPCore (x y z)
  :name "Diagrams.ThreeD.Shapes:frustum from diagrams-lib-1.3.0.3, B"
  :precision binary64
  (+ x (* (- y x) z)))