?

Average Accuracy: 97.4% → 97.9%
Time: 19.8s
Precision: binary32
Cost: 16480

?

\[\left(\left(\left(0 \leq normAngle \land normAngle \leq \frac{\pi}{2}\right) \land \left(-1 \leq n0_i \land n0_i \leq 1\right)\right) \land \left(-1 \leq n1_i \land n1_i \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u \land u \leq 1\right)\]
\[\left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n0_i + \left(\sin \left(u \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n1_i \]
↓
\[\mathsf{fma}\left(\frac{\sin \left(\left(1 - u\right) \cdot normAngle\right)}{\sin normAngle}, n0_i, \frac{\sin \left(u \cdot normAngle\right)}{\sin normAngle} \cdot n1_i\right) \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (+
  (* (* (sin (* (- 1.0 u) normAngle)) (/ 1.0 (sin normAngle))) n0_i)
  (* (* (sin (* u normAngle)) (/ 1.0 (sin normAngle))) n1_i)))
↓
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (fma
  (/ (sin (* (- 1.0 u) normAngle)) (sin normAngle))
  n0_i
  (* (/ (sin (* u normAngle)) (sin normAngle)) n1_i)))
float code(float normAngle, float u, float n0_i, float n1_i) {
	return ((sinf(((1.0f - u) * normAngle)) * (1.0f / sinf(normAngle))) * n0_i) + ((sinf((u * normAngle)) * (1.0f / sinf(normAngle))) * n1_i);
}
↓
float code(float normAngle, float u, float n0_i, float n1_i) {
	return fmaf((sinf(((1.0f - u) * normAngle)) / sinf(normAngle)), n0_i, ((sinf((u * normAngle)) / sinf(normAngle)) * n1_i));
}

function code(normAngle, u, n0_i, n1_i)
	return Float32(Float32(Float32(sin(Float32(Float32(Float32(1.0) - u) * normAngle)) * Float32(Float32(1.0) / sin(normAngle))) * n0_i) + Float32(Float32(sin(Float32(u * normAngle)) * Float32(Float32(1.0) / sin(normAngle))) * n1_i))
end
↓
function code(normAngle, u, n0_i, n1_i)
	return fma(Float32(sin(Float32(Float32(Float32(1.0) - u) * normAngle)) / sin(normAngle)), n0_i, Float32(Float32(sin(Float32(u * normAngle)) / sin(normAngle)) * n1_i))
end

\left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n0_i + \left(\sin \left(u \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n1_i
↓
\mathsf{fma}\left(\frac{\sin \left(\left(1 - u\right) \cdot normAngle\right)}{\sin normAngle}, n0_i, \frac{\sin \left(u \cdot normAngle\right)}{\sin normAngle} \cdot n1_i\right)

Error?

Derivation?

  1. Initial program 97.4%

    \[\left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n0_i + \left(\sin \left(u \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n1_i \]

  2. Simplified97.9%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\sin \left(\left(1 - u\right) \cdot normAngle\right)}{\sin normAngle}, n0_i, \frac{\sin \left(u \cdot normAngle\right)}{\sin normAngle} \cdot n1_i\right)} \]
    Proof

    [Start]97.4

    \[ \left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n0_i + \left(\sin \left(u \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n1_i \]

    fma-def [=>]97.4

    \[ \color{blue}{\mathsf{fma}\left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}, n0_i, \left(\sin \left(u \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n1_i\right)} \]

    associate-*r/ [=>]97.6

    \[ \mathsf{fma}\left(\color{blue}{\frac{\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot 1}{\sin normAngle}}, n0_i, \left(\sin \left(u \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n1_i\right) \]

    *-rgt-identity [=>]97.6

    \[ \mathsf{fma}\left(\frac{\color{blue}{\sin \left(\left(1 - u\right) \cdot normAngle\right)}}{\sin normAngle}, n0_i, \left(\sin \left(u \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n1_i\right) \]

    associate-*r/ [=>]97.9

    \[ \mathsf{fma}\left(\frac{\sin \left(\left(1 - u\right) \cdot normAngle\right)}{\sin normAngle}, n0_i, \color{blue}{\frac{\sin \left(u \cdot normAngle\right) \cdot 1}{\sin normAngle}} \cdot n1_i\right) \]

    *-rgt-identity [=>]97.9

    \[ \mathsf{fma}\left(\frac{\sin \left(\left(1 - u\right) \cdot normAngle\right)}{\sin normAngle}, n0_i, \frac{\color{blue}{\sin \left(u \cdot normAngle\right)}}{\sin normAngle} \cdot n1_i\right) \]

  3. Final simplification97.9%

    \[\leadsto \mathsf{fma}\left(\frac{\sin \left(\left(1 - u\right) \cdot normAngle\right)}{\sin normAngle}, n0_i, \frac{\sin \left(u \cdot normAngle\right)}{\sin normAngle} \cdot n1_i\right) \]

Alternatives

Alternative 1
Accuracy97.5%
Cost13344
\[\frac{\sin \left(\left(1 - u\right) \cdot normAngle\right)}{\frac{\sin normAngle}{n0_i}} + \frac{\sin \left(u \cdot normAngle\right)}{\frac{\sin normAngle}{n1_i}} \]
Alternative 2
Accuracy98.1%
Cost6816
\[\frac{\sin \left(\left(1 - u\right) \cdot normAngle\right)}{\frac{\sin normAngle}{n0_i}} + u \cdot n1_i \]
Alternative 3
Accuracy98.4%
Cost3360
\[\mathsf{fma}\left(u, n1_i - n0_i, n0_i\right) \]
Alternative 4
Accuracy85.6%
Cost297
\[\begin{array}{l} \mathbf{if}\;n1_i \leq -9.999999682655225 \cdot 10^{-22} \lor \neg \left(n1_i \leq 4.500000026306908 \cdot 10^{-26}\right):\\ \;\;\;\;n0_i + u \cdot n1_i\\ \mathbf{else}:\\ \;\;\;\;\left(1 - u\right) \cdot n0_i\\ \end{array} \]
Alternative 5
Accuracy85.7%
Cost297
\[\begin{array}{l} \mathbf{if}\;n1_i \leq -9.999999682655225 \cdot 10^{-22} \lor \neg \left(n1_i \leq 4.500000026306908 \cdot 10^{-26}\right):\\ \;\;\;\;n0_i + u \cdot n1_i\\ \mathbf{else}:\\ \;\;\;\;n0_i - u \cdot n0_i\\ \end{array} \]
Alternative 6
Accuracy70.2%
Cost296
\[\begin{array}{l} \mathbf{if}\;n1_i \leq -2.99999994735501 \cdot 10^{-14}:\\ \;\;\;\;u \cdot n1_i\\ \mathbf{elif}\;n1_i \leq 2.00000009162741 \cdot 10^{-18}:\\ \;\;\;\;\left(1 - u\right) \cdot n0_i\\ \mathbf{else}:\\ \;\;\;\;u \cdot n1_i\\ \end{array} \]
Alternative 7
Accuracy61.1%
Cost232
\[\begin{array}{l} \mathbf{if}\;n0_i \leq -9.999999682655225 \cdot 10^{-22}:\\ \;\;\;\;n0_i\\ \mathbf{elif}\;n0_i \leq 4.00000012549758 \cdot 10^{-22}:\\ \;\;\;\;u \cdot n1_i\\ \mathbf{else}:\\ \;\;\;\;n0_i\\ \end{array} \]
Alternative 8
Accuracy98.3%
Cost224
\[n0_i + u \cdot \left(n1_i - n0_i\right) \]
Alternative 9
Accuracy47.1%
Cost32
\[n0_i \]

Error

Reproduce?

herbie shell --seed 2023138 
(FPCore (normAngle u n0_i n1_i)
  :name "Curve intersection, scale width based on ribbon orientation"
  :precision binary32
  :pre (and (and (and (and (<= 0.0 normAngle) (<= normAngle (/ PI 2.0))) (and (<= -1.0 n0_i) (<= n0_i 1.0))) (and (<= -1.0 n1_i) (<= n1_i 1.0))) (and (<= 2.328306437e-10 u) (<= u 1.0)))
  (+ (* (* (sin (* (- 1.0 u) normAngle)) (/ 1.0 (sin normAngle))) n0_i) (* (* (sin (* u normAngle)) (/ 1.0 (sin normAngle))) n1_i)))