Average Error: 1.0 → 0.3
Time: 7.8s
Precision: binary32
\[\left(\left(\left(0 \leq normAngle \land normAngle \leq \frac{\pi}{2}\right) \land \left(-1 \leq n0_i \land n0_i \leq 1\right)\right) \land \left(-1 \leq n1_i \land n1_i \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u \land u \leq 1\right)\]
\[\left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n0_i + \left(\sin \left(u \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n1_i \]
↓
\[\mathsf{fma}\left(u, -n0_i, n0_i\right) + \mathsf{fma}\left(normAngle, \frac{u}{\sin normAngle}, \frac{{\left(u \cdot normAngle\right)}^{3}}{\sin normAngle} \cdot -0.16666666666666666\right) \cdot n1_i \]
(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 u (- n0_i) n0_i)
  (*
   (fma
    normAngle
    (/ u (sin normAngle))
    (* (/ (pow (* u normAngle) 3.0) (sin normAngle)) -0.16666666666666666))
   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(u, -n0_i, n0_i) + (fmaf(normAngle, (u / sinf(normAngle)), ((powf((u * normAngle), 3.0f) / sinf(normAngle)) * -0.16666666666666666f)) * 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 Float32(fma(u, Float32(-n0_i), n0_i) + Float32(fma(normAngle, Float32(u / sin(normAngle)), Float32(Float32((Float32(u * normAngle) ^ Float32(3.0)) / sin(normAngle)) * Float32(-0.16666666666666666))) * 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(u, -n0_i, n0_i\right) + \mathsf{fma}\left(normAngle, \frac{u}{\sin normAngle}, \frac{{\left(u \cdot normAngle\right)}^{3}}{\sin normAngle} \cdot -0.16666666666666666\right) \cdot n1_i

Error

Bits error versus normAngle

Bits error versus u

Bits error versus n0_i

Bits error versus n1_i

Derivation

  1. Initial program 1.0

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

  2. Taylor expanded in u around 0 0.9

    \[\leadsto \left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n0_i + \color{blue}{\left(\frac{u \cdot normAngle}{\sin normAngle} - 0.16666666666666666 \cdot \frac{{u}^{3} \cdot {normAngle}^{3}}{\sin normAngle}\right)} \cdot n1_i \]

  3. Simplified0.4

    \[\leadsto \left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot \frac{1}{\sin normAngle}\right) \cdot n0_i + \color{blue}{\mathsf{fma}\left(\frac{u}{\sin normAngle}, normAngle, \frac{{u}^{3}}{\frac{\sin normAngle}{{normAngle}^{3}}} \cdot -0.16666666666666666\right)} \cdot n1_i \]

  4. Taylor expanded in normAngle around 0 0.4

    \[\leadsto \color{blue}{\left(1 - u\right)} \cdot n0_i + \mathsf{fma}\left(\frac{u}{\sin normAngle}, normAngle, \frac{{u}^{3}}{\frac{\sin normAngle}{{normAngle}^{3}}} \cdot -0.16666666666666666\right) \cdot n1_i \]

  5. Taylor expanded in u around 0 0.3

    \[\leadsto \color{blue}{\left(n0_i - u \cdot n0_i\right)} + \mathsf{fma}\left(\frac{u}{\sin normAngle}, normAngle, \frac{{u}^{3}}{\frac{\sin normAngle}{{normAngle}^{3}}} \cdot -0.16666666666666666\right) \cdot n1_i \]

  6. Simplified0.3

    \[\leadsto \color{blue}{\mathsf{fma}\left(u, -n0_i, n0_i\right)} + \mathsf{fma}\left(\frac{u}{\sin normAngle}, normAngle, \frac{{u}^{3}}{\frac{\sin normAngle}{{normAngle}^{3}}} \cdot -0.16666666666666666\right) \cdot n1_i \]

  7. Taylor expanded in u around 0 0.8

    \[\leadsto \mathsf{fma}\left(u, -n0_i, n0_i\right) + \color{blue}{\left(\frac{u \cdot normAngle}{\sin normAngle} - 0.16666666666666666 \cdot \frac{{u}^{3} \cdot {normAngle}^{3}}{\sin normAngle}\right)} \cdot n1_i \]

  8. Simplified0.3

    \[\leadsto \mathsf{fma}\left(u, -n0_i, n0_i\right) + \color{blue}{\mathsf{fma}\left(normAngle, \frac{u}{\sin normAngle}, \frac{{\left(u \cdot normAngle\right)}^{3}}{\sin normAngle} \cdot -0.16666666666666666\right)} \cdot n1_i \]

  9. Final simplification0.3

    \[\leadsto \mathsf{fma}\left(u, -n0_i, n0_i\right) + \mathsf{fma}\left(normAngle, \frac{u}{\sin normAngle}, \frac{{\left(u \cdot normAngle\right)}^{3}}{\sin normAngle} \cdot -0.16666666666666666\right) \cdot n1_i \]

Reproduce

herbie shell --seed 2022150 
(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)))