Diagrams.Solve.Tridiagonal:solveCyclicTriDiagonal from diagrams-solve-0.1, B

Average Error: 16.5 → 7.2

Time: 14.2s

Precision: binary64

Math

\[\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}} \]

↓

\[\begin{array}{l} t_1 := x + \frac{y \cdot z}{t}\\ t_2 := \frac{y \cdot b}{t}\\ t_3 := \frac{t_1}{\left(a + 1\right) + t_2}\\ \mathbf{if}\;t_3 \leq -1.8638644872226573 \cdot 10^{+193}:\\ \;\;\;\;\begin{array}{l} t_4 := 1 + \left(a + t_2\right)\\ \mathsf{fma}\left(\frac{y}{t_4}, \frac{z}{t}, \frac{x}{t_4}\right) \end{array}\\ \mathbf{elif}\;t_3 \leq 2.792327012157869 \cdot 10^{+304}:\\ \;\;\;\;\frac{t_1}{1 + \mathsf{fma}\left(b, \frac{y}{t}, a\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{z}{b}\\ \end{array} \]

FPCore

(FPCore (x y z t a b)
 :precision binary64
 (/ (+ x (/ (* y z) t)) (+ (+ a 1.0) (/ (* y b) t))))

↓

(FPCore (x y z t a b)
 :precision binary64
 (let* ((t_1 (+ x (/ (* y z) t)))
        (t_2 (/ (* y b) t))
        (t_3 (/ t_1 (+ (+ a 1.0) t_2))))
   (if (<= t_3 -1.8638644872226573e+193)
     (let* ((t_4 (+ 1.0 (+ a t_2)))) (fma (/ y t_4) (/ z t) (/ x t_4)))
     (if (<= t_3 2.792327012157869e+304)
       (/ t_1 (+ 1.0 (fma b (/ y t) a)))
       (/ z b)))))

C

double code(double x, double y, double z, double t, double a, double b) {
	return (x + ((y * z) / t)) / ((a + 1.0) + ((y * b) / t));
}

↓

double code(double x, double y, double z, double t, double a, double b) {
	double t_1 = x + ((y * z) / t);
	double t_2 = (y * b) / t;
	double t_3 = t_1 / ((a + 1.0) + t_2);
	double tmp;
	if (t_3 <= -1.8638644872226573e+193) {
		double t_4_1 = 1.0 + (a + t_2);
		tmp = fma((y / t_4_1), (z / t), (x / t_4_1));
	} else if (t_3 <= 2.792327012157869e+304) {
		tmp = t_1 / (1.0 + fma(b, (y / t), a));
	} else {
		tmp = z / b;
	}
	return tmp;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Bits error versus b

Target

Original	16.5
Target	13.3
Herbie	7.2

\[\begin{array}{l} \mathbf{if}\;t < -1.3659085366310088 \cdot 10^{-271}:\\ \;\;\;\;1 \cdot \left(\left(x + \frac{y}{t} \cdot z\right) \cdot \frac{1}{\left(a + 1\right) + \frac{y}{t} \cdot b}\right)\\ \mathbf{elif}\;t < 3.036967103737246 \cdot 10^{-130}:\\ \;\;\;\;\frac{z}{b}\\ \mathbf{else}:\\ \;\;\;\;1 \cdot \left(\left(x + \frac{y}{t} \cdot z\right) \cdot \frac{1}{\left(a + 1\right) + \frac{y}{t} \cdot b}\right)\\ \end{array} \]

Derivation

1. Split input into 3 regimes

2. if (/.f64 (+.f64 x (/.f64 (*.f64 y z) t)) (+.f64 (+.f64 a 1) (/.f64 (*.f64 y b) t))) < -1.86386448722265732e193

   1. Initial program 32.3

      \[\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}} \]

   2. Simplified 23.0

      \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(y, \frac{z}{t}, x\right)}{1 + \mathsf{fma}\left(b, \frac{y}{t}, a\right)}} \]

   3. Taylor expanded in y around 0 32.5

      \[\leadsto \frac{\color{blue}{\frac{y \cdot z}{t} + x}}{1 + \mathsf{fma}\left(b, \frac{y}{t}, a\right)} \]

   4. Taylor expanded in z around 0 21.4

      \[\leadsto \color{blue}{\frac{y \cdot z}{\left(1 + \left(a + \frac{y \cdot b}{t}\right)\right) \cdot t} + \frac{x}{1 + \left(a + \frac{y \cdot b}{t}\right)}} \]

   5. Simplified 11.0

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{y}{1 + \left(a + \frac{y \cdot b}{t}\right)}, \frac{z}{t}, \frac{x}{1 + \left(a + \frac{y \cdot b}{t}\right)}\right)} \]

   if -1.86386448722265732e193 < (/.f64 (+.f64 x (/.f64 (*.f64 y z) t)) (+.f64 (+.f64 a 1) (/.f64 (*.f64 y b) t))) < 2.7923270121578691e304

   1. Initial program 6.5

      \[\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}} \]

   2. Simplified 8.8

      \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(y, \frac{z}{t}, x\right)}{1 + \mathsf{fma}\left(b, \frac{y}{t}, a\right)}} \]

   3. Taylor expanded in y around 0 5.9

      \[\leadsto \frac{\color{blue}{\frac{y \cdot z}{t} + x}}{1 + \mathsf{fma}\left(b, \frac{y}{t}, a\right)} \]

   4. Applied +-commutative_binary64 5.9

      \[\leadsto \frac{\frac{y \cdot z}{t} + x}{\color{blue}{\mathsf{fma}\left(b, \frac{y}{t}, a\right) + 1}} \]

   if 2.7923270121578691e304 < (/.f64 (+.f64 x (/.f64 (*.f64 y z) t)) (+.f64 (+.f64 a 1) (/.f64 (*.f64 y b) t)))

   1. Initial program 63.4

      \[\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}} \]

   2. Simplified 52.4

      \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(y, \frac{z}{t}, x\right)}{1 + \mathsf{fma}\left(b, \frac{y}{t}, a\right)}} \]

   3. Taylor expanded in y around inf 12.3

      \[\leadsto \color{blue}{\frac{z}{b}} \]
3. Recombined 3 regimes into one program.

4. Final simplification 7.2

   \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}} \leq -1.8638644872226573 \cdot 10^{+193}:\\ \;\;\;\;\mathsf{fma}\left(\frac{y}{1 + \left(a + \frac{y \cdot b}{t}\right)}, \frac{z}{t}, \frac{x}{1 + \left(a + \frac{y \cdot b}{t}\right)}\right)\\ \mathbf{elif}\;\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}} \leq 2.792327012157869 \cdot 10^{+304}:\\ \;\;\;\;\frac{x + \frac{y \cdot z}{t}}{1 + \mathsf{fma}\left(b, \frac{y}{t}, a\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{z}{b}\\ \end{array} \]

Reproduce

herbie shell --seed 2021291 
(FPCore (x y z t a b)
  :name "Diagrams.Solve.Tridiagonal:solveCyclicTriDiagonal from diagrams-solve-0.1, B"
  :precision binary64

  :herbie-target
  (if (< t -1.3659085366310088e-271) (* 1.0 (* (+ x (* (/ y t) z)) (/ 1.0 (+ (+ a 1.0) (* (/ y t) b))))) (if (< t 3.036967103737246e-130) (/ z b) (* 1.0 (* (+ x (* (/ y t) z)) (/ 1.0 (+ (+ a 1.0) (* (/ y t) b)))))))

  (/ (+ x (/ (* y z) t)) (+ (+ a 1.0) (/ (* y b) t))))