Migdal et al, Equation (64)

Average Error: 0.5 → 0.5

Time: 15.3s

Precision: binary64

Cost: 19840

Math

\[\frac{\cos th}{\sqrt{2}} \cdot \left(a1 \cdot a1\right) + \frac{\cos th}{\sqrt{2}} \cdot \left(a2 \cdot a2\right) \]

↓

\[\cos th \cdot \left({2}^{-0.5} \cdot \mathsf{fma}\left(a2, a2, a1 \cdot a1\right)\right) \]

FPCore

(FPCore (a1 a2 th)
 :precision binary64
 (+
  (* (/ (cos th) (sqrt 2.0)) (* a1 a1))
  (* (/ (cos th) (sqrt 2.0)) (* a2 a2))))

↓

(FPCore (a1 a2 th)
 :precision binary64
 (* (cos th) (* (pow 2.0 -0.5) (fma a2 a2 (* a1 a1)))))

C

double code(double a1, double a2, double th) {
	return ((cos(th) / sqrt(2.0)) * (a1 * a1)) + ((cos(th) / sqrt(2.0)) * (a2 * a2));
}

↓

double code(double a1, double a2, double th) {
	return cos(th) * (pow(2.0, -0.5) * fma(a2, a2, (a1 * a1)));
}

Julia

function code(a1, a2, th)
	return Float64(Float64(Float64(cos(th) / sqrt(2.0)) * Float64(a1 * a1)) + Float64(Float64(cos(th) / sqrt(2.0)) * Float64(a2 * a2)))
end

↓

function code(a1, a2, th)
	return Float64(cos(th) * Float64((2.0 ^ -0.5) * fma(a2, a2, Float64(a1 * a1))))
end

Wolfram

code[a1_, a2_, th_] := N[(N[(N[(N[Cos[th], $MachinePrecision] / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(a1 * a1), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[th], $MachinePrecision] / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(a2 * a2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

↓

code[a1_, a2_, th_] := N[(N[Cos[th], $MachinePrecision] * N[(N[Power[2.0, -0.5], $MachinePrecision] * N[(a2 * a2 + N[(a1 * a1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 0.5

   \[\frac{\cos th}{\sqrt{2}} \cdot \left(a1 \cdot a1\right) + \frac{\cos th}{\sqrt{2}} \cdot \left(a2 \cdot a2\right) \]

2. Simplified 0.5

   \[\leadsto \color{blue}{\cos th \cdot \frac{\mathsf{fma}\left(a1, a1, a2 \cdot a2\right)}{\sqrt{2}}} \]
   Proof

   [Start] 0.5	\[ \frac{\cos th}{\sqrt{2}} \cdot \left(a1 \cdot a1\right) + \frac{\cos th}{\sqrt{2}} \cdot \left(a2 \cdot a2\right) \]
   distribute-lft-out [=>] 0.5	\[ \color{blue}{\frac{\cos th}{\sqrt{2}} \cdot \left(a1 \cdot a1 + a2 \cdot a2\right)} \]
   associate-*l/ [=>] 0.5	\[ \color{blue}{\frac{\cos th \cdot \left(a1 \cdot a1 + a2 \cdot a2\right)}{\sqrt{2}}} \]
   associate-*r/ [<=] 0.5	\[ \color{blue}{\cos th \cdot \frac{a1 \cdot a1 + a2 \cdot a2}{\sqrt{2}}} \]
   fma-def [=>] 0.5	\[ \cos th \cdot \frac{\color{blue}{\mathsf{fma}\left(a1, a1, a2 \cdot a2\right)}}{\sqrt{2}} \]

3. Applied egg-rr 0.5

   \[\leadsto \cos th \cdot \color{blue}{\left({2}^{-0.5} \cdot \left(a2 \cdot a2\right) + {2}^{-0.5} \cdot \left(a1 \cdot a1\right)\right)} \]

4. Simplified 0.5

   \[\leadsto \cos th \cdot \color{blue}{\left({2}^{-0.5} \cdot \mathsf{fma}\left(a2, a2, a1 \cdot a1\right)\right)} \]
   Proof

   [Start] 0.5	\[ \cos th \cdot \left({2}^{-0.5} \cdot \left(a2 \cdot a2\right) + {2}^{-0.5} \cdot \left(a1 \cdot a1\right)\right) \]
   distribute-lft-out [=>] 0.5	\[ \cos th \cdot \color{blue}{\left({2}^{-0.5} \cdot \left(a2 \cdot a2 + a1 \cdot a1\right)\right)} \]
   fma-def [=>] 0.5	\[ \cos th \cdot \left({2}^{-0.5} \cdot \color{blue}{\mathsf{fma}\left(a2, a2, a1 \cdot a1\right)}\right) \]

5. Final simplification 0.5

   \[\leadsto \cos th \cdot \left({2}^{-0.5} \cdot \mathsf{fma}\left(a2, a2, a1 \cdot a1\right)\right) \]

Alternatives

Alternative 1
Error	14.1
Cost	13513

\[\begin{array}{l} \mathbf{if}\;th \leq -38 \lor \neg \left(th \leq 0.205\right):\\ \;\;\;\;a1 \cdot \frac{\cos th \cdot a1}{\sqrt{2}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{0.5} \cdot \left(a1 \cdot a1 + a2 \cdot a2\right)\\ \end{array} \]

Alternative 2
Error	0.5
Cost	13504

\[\left(\cos th \cdot \sqrt{0.5}\right) \cdot \left(a1 \cdot a1 + a2 \cdot a2\right) \]

Alternative 3
Error	21.1
Cost	13380

\[\begin{array}{l} \mathbf{if}\;a2 \leq 9.1 \cdot 10^{-150}:\\ \;\;\;\;a1 \cdot \frac{\cos th \cdot a1}{\sqrt{2}}\\ \mathbf{else}:\\ \;\;\;\;a2 \cdot \left(a2 \cdot \left(\cos th \cdot \sqrt{0.5}\right)\right)\\ \end{array} \]

Alternative 4
Error	21.0
Cost	13380

\[\begin{array}{l} \mathbf{if}\;a2 \leq 6 \cdot 10^{-149}:\\ \;\;\;\;a1 \cdot \frac{\cos th \cdot a1}{\sqrt{2}}\\ \mathbf{else}:\\ \;\;\;\;\cos th \cdot \left(\sqrt{0.5} \cdot \left(a2 \cdot a2\right)\right)\\ \end{array} \]

Alternative 5
Error	21.0
Cost	13380

\[\begin{array}{l} \mathbf{if}\;a2 \leq 6.4 \cdot 10^{-149}:\\ \;\;\;\;a1 \cdot \frac{\cos th \cdot a1}{\sqrt{2}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{0.5} \cdot \left(\cos th \cdot \left(a2 \cdot a2\right)\right)\\ \end{array} \]

Alternative 6
Error	21.0
Cost	13380

\[\begin{array}{l} \mathbf{if}\;a2 \leq 6.4 \cdot 10^{-149}:\\ \;\;\;\;a1 \cdot \frac{\cos th \cdot a1}{\sqrt{2}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{0.5} \cdot \left(a2 \cdot \left(\cos th \cdot a2\right)\right)\\ \end{array} \]

Alternative 7
Error	25.8
Cost	6976

\[\sqrt{0.5} \cdot \left(a1 \cdot a1 + a2 \cdot a2\right) \]

Alternative 8
Error	36.9
Cost	6852

\[\begin{array}{l} \mathbf{if}\;a2 \leq 5.7 \cdot 10^{-140}:\\ \;\;\;\;a1 \cdot \frac{a1}{\sqrt{2}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{0.5} \cdot \left(a2 \cdot a2\right)\\ \end{array} \]

Alternative 9
Error	40.8
Cost	6720

\[a1 \cdot \left(a1 \cdot \sqrt{0.5}\right) \]

Alternative 10
Error	40.8
Cost	6720

\[a1 \cdot \frac{a1}{\sqrt{2}} \]

Reproduce

herbie shell --seed 2023011 
(FPCore (a1 a2 th)
  :name "Migdal et al, Equation (64)"
  :precision binary64
  (+ (* (/ (cos th) (sqrt 2.0)) (* a1 a1)) (* (/ (cos th) (sqrt 2.0)) (* a2 a2))))