Average Error: 59.9 → 0.3
Time: 30.0s
Precision: 64
\[-0.0259999999999999988065102485279567190446 \lt x \land x \lt 0.0259999999999999988065102485279567190446\]
\[\frac{1}{x} - \frac{1}{\tan x}\]
↓
\[\mathsf{fma}\left(0.02222222222222222307030925492199457949027, {x}^{3}, \mathsf{fma}\left(0.3333333333333333148296162562473909929395, x, 0.002116402116402116544841005563171165704262 \cdot {x}^{5}\right)\right)\]
\frac{1}{x} - \frac{1}{\tan x}
↓
\mathsf{fma}\left(0.02222222222222222307030925492199457949027, {x}^{3}, \mathsf{fma}\left(0.3333333333333333148296162562473909929395, x, 0.002116402116402116544841005563171165704262 \cdot {x}^{5}\right)\right)
double f(double x) {
        double r91998 = 1.0;
        double r91999 = x;
        double r92000 = r91998 / r91999;
        double r92001 = tan(r91999);
        double r92002 = r91998 / r92001;
        double r92003 = r92000 - r92002;
        return r92003;
}
↓
double f(double x) {
        double r92004 = 0.022222222222222223;
        double r92005 = x;
        double r92006 = 3.0;
        double r92007 = pow(r92005, r92006);
        double r92008 = 0.3333333333333333;
        double r92009 = 0.0021164021164021165;
        double r92010 = 5.0;
        double r92011 = pow(r92005, r92010);
        double r92012 = r92009 * r92011;
        double r92013 = fma(r92008, r92005, r92012);
        double r92014 = fma(r92004, r92007, r92013);
        return r92014;
}

Error

Bits error versus x

Target

Original59.9
Target0.1
Herbie0.3
\[\begin{array}{l} \mathbf{if}\;\left|x\right| \lt 0.0259999999999999988065102485279567190446:\\ \;\;\;\;\frac{x}{3} \cdot \left(1 + \frac{x \cdot x}{15}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{x} - \frac{1}{\tan x}\\ \end{array}\]

Derivation

  1. Initial program 59.9

    \[\frac{1}{x} - \frac{1}{\tan x}\]

  2. Taylor expanded around 0 0.3

    \[\leadsto \color{blue}{0.3333333333333333148296162562473909929395 \cdot x + \left(0.02222222222222222307030925492199457949027 \cdot {x}^{3} + 0.002116402116402116544841005563171165704262 \cdot {x}^{5}\right)}\]

  3. Simplified0.3

    \[\leadsto \color{blue}{\mathsf{fma}\left(0.002116402116402116544841005563171165704262, {x}^{5}, \mathsf{fma}\left(0.02222222222222222307030925492199457949027, {x}^{3}, 0.3333333333333333148296162562473909929395 \cdot x\right)\right)}\]

  4. Taylor expanded around 0 0.3

    \[\leadsto \color{blue}{0.3333333333333333148296162562473909929395 \cdot x + \left(0.02222222222222222307030925492199457949027 \cdot {x}^{3} + 0.002116402116402116544841005563171165704262 \cdot {x}^{5}\right)}\]

  5. Simplified0.3

    \[\leadsto \color{blue}{\mathsf{fma}\left(0.02222222222222222307030925492199457949027, {x}^{3}, \mathsf{fma}\left(0.3333333333333333148296162562473909929395, x, {x}^{5} \cdot 0.002116402116402116544841005563171165704262\right)\right)}\]

  6. Final simplification0.3

    \[\leadsto \mathsf{fma}\left(0.02222222222222222307030925492199457949027, {x}^{3}, \mathsf{fma}\left(0.3333333333333333148296162562473909929395, x, 0.002116402116402116544841005563171165704262 \cdot {x}^{5}\right)\right)\]

Reproduce

herbie shell --seed 2019194 +o rules:numerics
(FPCore (x)
  :name "invcot (example 3.9)"
  :pre (and (< -0.026 x) (< x 0.026))

  :herbie-target
  (if (< (fabs x) 0.026) (* (/ x 3.0) (+ 1.0 (/ (* x x) 15.0))) (- (/ 1.0 x) (/ 1.0 (tan x))))

  (- (/ 1.0 x) (/ 1.0 (tan x))))