HairBSDF, Mp, lower

Average Error: 0.1 → 0.1

Time: 9.6s

Precision: binary32

Cost: 6944

\[\left(\left(\left(\left(-1 \leq cosTheta_i \land cosTheta_i \leq 1\right) \land \left(-1 \leq cosTheta_O \land cosTheta_O \leq 1\right)\right) \land \left(-1 \leq sinTheta_i \land sinTheta_i \leq 1\right)\right) \land \left(-1 \leq sinTheta_O \land sinTheta_O \leq 1\right)\right) \land \left(-1.5707964 \leq v \land v \leq 0.1\right)\]

Math

\[e^{\left(\left(\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) - \frac{1}{v}\right) + 0.6931\right) + \log \left(\frac{1}{2 \cdot v}\right)} \]

↓

\[e^{\frac{cosTheta_i \cdot cosTheta_O}{v} + \left(\log \left(\frac{1}{v + v}\right) + \left(0.6931 - \frac{1}{v}\right)\right)} \]

FPCore

(FPCore (cosTheta_i cosTheta_O sinTheta_i sinTheta_O v)
 :precision binary32
 (exp
  (+
   (+
    (-
     (- (/ (* cosTheta_i cosTheta_O) v) (/ (* sinTheta_i sinTheta_O) v))
     (/ 1.0 v))
    0.6931)
   (log (/ 1.0 (* 2.0 v))))))

↓

(FPCore (cosTheta_i cosTheta_O sinTheta_i sinTheta_O v)
 :precision binary32
 (exp
  (+
   (/ (* cosTheta_i cosTheta_O) v)
   (+ (log (/ 1.0 (+ v v))) (- 0.6931 (/ 1.0 v))))))

C

float code(float cosTheta_i, float cosTheta_O, float sinTheta_i, float sinTheta_O, float v) {
	return expf(((((((cosTheta_i * cosTheta_O) / v) - ((sinTheta_i * sinTheta_O) / v)) - (1.0f / v)) + 0.6931f) + logf((1.0f / (2.0f * v)))));
}

↓

float code(float cosTheta_i, float cosTheta_O, float sinTheta_i, float sinTheta_O, float v) {
	return expf((((cosTheta_i * cosTheta_O) / v) + (logf((1.0f / (v + v))) + (0.6931f - (1.0f / v)))));
}

Fortran

real(4) function code(costheta_i, costheta_o, sintheta_i, sintheta_o, v)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: costheta_o
    real(4), intent (in) :: sintheta_i
    real(4), intent (in) :: sintheta_o
    real(4), intent (in) :: v
    code = exp(((((((costheta_i * costheta_o) / v) - ((sintheta_i * sintheta_o) / v)) - (1.0e0 / v)) + 0.6931e0) + log((1.0e0 / (2.0e0 * v)))))
end function

↓

real(4) function code(costheta_i, costheta_o, sintheta_i, sintheta_o, v)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: costheta_o
    real(4), intent (in) :: sintheta_i
    real(4), intent (in) :: sintheta_o
    real(4), intent (in) :: v
    code = exp((((costheta_i * costheta_o) / v) + (log((1.0e0 / (v + v))) + (0.6931e0 - (1.0e0 / v)))))
end function

Julia

function code(cosTheta_i, cosTheta_O, sinTheta_i, sinTheta_O, v)
	return exp(Float32(Float32(Float32(Float32(Float32(Float32(cosTheta_i * cosTheta_O) / v) - Float32(Float32(sinTheta_i * sinTheta_O) / v)) - Float32(Float32(1.0) / v)) + Float32(0.6931)) + log(Float32(Float32(1.0) / Float32(Float32(2.0) * v)))))
end

↓

function code(cosTheta_i, cosTheta_O, sinTheta_i, sinTheta_O, v)
	return exp(Float32(Float32(Float32(cosTheta_i * cosTheta_O) / v) + Float32(log(Float32(Float32(1.0) / Float32(v + v))) + Float32(Float32(0.6931) - Float32(Float32(1.0) / v)))))
end

MATLAB

function tmp = code(cosTheta_i, cosTheta_O, sinTheta_i, sinTheta_O, v)
	tmp = exp(((((((cosTheta_i * cosTheta_O) / v) - ((sinTheta_i * sinTheta_O) / v)) - (single(1.0) / v)) + single(0.6931)) + log((single(1.0) / (single(2.0) * v)))));
end

↓

function tmp = code(cosTheta_i, cosTheta_O, sinTheta_i, sinTheta_O, v)
	tmp = exp((((cosTheta_i * cosTheta_O) / v) + (log((single(1.0) / (v + v))) + (single(0.6931) - (single(1.0) / v)))));
end

Derivation

1. Initial program 0.1

   \[e^{\left(\left(\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) - \frac{1}{v}\right) + 0.6931\right) + \log \left(\frac{1}{2 \cdot v}\right)} \]

2. Simplified 0.1

   \[\leadsto \color{blue}{e^{\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) + \left(\log \left(\frac{1}{v + v}\right) + \left(0.6931 - \frac{1}{v}\right)\right)}} \]
   Proof

   [Start] 0.1	\[ e^{\left(\left(\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) - \frac{1}{v}\right) + 0.6931\right) + \log \left(\frac{1}{2 \cdot v}\right)} \]
   rational_best_oopsla_all_46_json_45_simplify-35 [=>] 0.1	\[ e^{\color{blue}{\log \left(\frac{1}{2 \cdot v}\right) + \left(\left(\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) - \frac{1}{v}\right) + 0.6931\right)}} \]
   rational_best_oopsla_all_46_json_45_simplify-35 [=>] 0.1	\[ e^{\log \left(\frac{1}{2 \cdot v}\right) + \color{blue}{\left(0.6931 + \left(\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) - \frac{1}{v}\right)\right)}} \]
   rational_best_oopsla_all_46_json_45_simplify-108 [=>] 0.1	\[ e^{\log \left(\frac{1}{2 \cdot v}\right) + \color{blue}{\left(\left(\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) + 0.6931\right) - \frac{1}{v}\right)}} \]
   rational_best_oopsla_all_46_json_45_simplify-35 [=>] 0.1	\[ e^{\log \left(\frac{1}{2 \cdot v}\right) + \left(\color{blue}{\left(0.6931 + \left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right)\right)} - \frac{1}{v}\right)} \]
   rational_best_oopsla_all_46_json_45_simplify-107 [=>] 0.1	\[ e^{\log \left(\frac{1}{2 \cdot v}\right) + \color{blue}{\left(\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) + \left(0.6931 - \frac{1}{v}\right)\right)}} \]
   rational_best_oopsla_all_46_json_45_simplify-82 [=>] 0.1	\[ e^{\color{blue}{\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) + \left(\log \left(\frac{1}{2 \cdot v}\right) + \left(0.6931 - \frac{1}{v}\right)\right)}} \]
   rational_best_oopsla_all_46_json_45_simplify-74 [=>] 0.1	\[ e^{\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) + \left(\log \left(\frac{1}{\color{blue}{v \cdot 2}}\right) + \left(0.6931 - \frac{1}{v}\right)\right)} \]
   metadata-eval [<=] 0.1	\[ e^{\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) + \left(\log \left(\frac{1}{v \cdot \color{blue}{\left(1 + 1\right)}}\right) + \left(0.6931 - \frac{1}{v}\right)\right)} \]
   rational_best_oopsla_all_46_json_45_simplify-23 [<=] 0.1	\[ e^{\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) + \left(\log \left(\frac{1}{\color{blue}{1 \cdot v + v \cdot 1}}\right) + \left(0.6931 - \frac{1}{v}\right)\right)} \]
   rational_best_oopsla_all_46_json_45_simplify-74 [<=] 0.1	\[ e^{\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) + \left(\log \left(\frac{1}{\color{blue}{v \cdot 1} + v \cdot 1}\right) + \left(0.6931 - \frac{1}{v}\right)\right)} \]
   rational_best_oopsla_all_46_json_45_simplify-52 [=>] 0.1	\[ e^{\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) + \left(\log \left(\frac{1}{\color{blue}{v} + v \cdot 1}\right) + \left(0.6931 - \frac{1}{v}\right)\right)} \]
   rational_best_oopsla_all_46_json_45_simplify-52 [=>] 0.1	\[ e^{\left(\frac{cosTheta_i \cdot cosTheta_O}{v} - \frac{sinTheta_i \cdot sinTheta_O}{v}\right) + \left(\log \left(\frac{1}{v + \color{blue}{v}}\right) + \left(0.6931 - \frac{1}{v}\right)\right)} \]

3. Taylor expanded in cosTheta_i around inf 0.1

   \[\leadsto e^{\color{blue}{\frac{cosTheta_i \cdot cosTheta_O}{v}} + \left(\log \left(\frac{1}{v + v}\right) + \left(0.6931 - \frac{1}{v}\right)\right)} \]

4. Final simplification 0.1

   \[\leadsto e^{\frac{cosTheta_i \cdot cosTheta_O}{v} + \left(\log \left(\frac{1}{v + v}\right) + \left(0.6931 - \frac{1}{v}\right)\right)} \]

Alternatives

Alternative 1
Error	0.7
Cost	6624

\[e^{\log \left(\frac{0.5}{v}\right) - \frac{1}{v}} \]

Alternative 2
Error	0.7
Cost	3904

\[\begin{array}{l} t_0 := \frac{cosTheta_i \cdot cosTheta_O}{v} + \frac{-1}{v}\\ e^{t_0 \cdot \left(t_0 \cdot \left(-v\right)\right)} \end{array} \]

Alternative 3
Error	0.7
Cost	3296

\[e^{\frac{-1}{v}} \]

Alternative 4
Error	29.9
Cost	32

\[1 \]

Reproduce

herbie shell --seed 2023090 
(FPCore (cosTheta_i cosTheta_O sinTheta_i sinTheta_O v)
  :name "HairBSDF, Mp, lower"
  :precision binary32
  :pre (and (and (and (and (and (<= -1.0 cosTheta_i) (<= cosTheta_i 1.0)) (and (<= -1.0 cosTheta_O) (<= cosTheta_O 1.0))) (and (<= -1.0 sinTheta_i) (<= sinTheta_i 1.0))) (and (<= -1.0 sinTheta_O) (<= sinTheta_O 1.0))) (and (<= -1.5707964 v) (<= v 0.1)))
  (exp (+ (+ (- (- (/ (* cosTheta_i cosTheta_O) v) (/ (* sinTheta_i sinTheta_O) v)) (/ 1.0 v)) 0.6931) (log (/ 1.0 (* 2.0 v))))))