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@ -1344,4 +1344,57 @@ struct
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HB_FUNCOBJ (hb_dec);
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/* For documentation and implementation see:
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*
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* [ITP method]: https://en.wikipedia.org/wiki/ITP_Method
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* [An Enhancement of the Bisection Method Average Performance Preserving Minmax Optimality]: https://dl.acm.org/doi/10.1145/3423597
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* https://docs.rs/kurbo/0.8.1/kurbo/common/fn.solve_itp.html
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* https://github.com/linebender/kurbo/blob/fd839c25ea0c98576c7ce5789305822675a89938/src/common.rs#L162-L248
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*/
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template <typename func_t>
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double solve_itp (func_t f,
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double a, double b,
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double epsilon,
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unsigned n0,
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double k1,
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double &ya, double yb)
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{
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unsigned n1_2 = (unsigned) (hb_max (ceil (log2 ((b - a) / epsilon)) - 1.0, 0.0));
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unsigned nmax = n0 + n1_2;
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double scaled_epsilon = epsilon * double (1llu << nmax);
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double _2_epsilon = 2.0 * epsilon;
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while (b - a > _2_epsilon)
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{
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double x1_2 = 0.5 * (a + b);
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double r = scaled_epsilon - 0.5 * (b - a);
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double xf = (yb * a - ya * b) / (yb - ya);
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double sigma = x1_2 - xf;
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// This has k2 = 2 hardwired for efficiency.
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double b_a = b - a;
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double b_a_k2 = b_a * b_a;
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double delta = k1 * b_a_k2;
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int sigma_sign = sigma >= 0 ? +1 : -1;
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double xt = delta <= fabs (x1_2 - xf) ? xf + delta * sigma_sign : x1_2;
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double xitp = fabs (xt - x1_2) <= r ? xt : x1_2 - r * sigma_sign;
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double yitp = f (xitp);
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if (yitp > 0.0)
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{
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b = xitp;
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yb = yitp;
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}
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else if (yitp < 0.0)
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{
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a = xitp;
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ya = yitp;
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}
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else
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{
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return xitp;
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}
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scaled_epsilon *= 0.5;
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}
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return 0.5 * (a + b);
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}
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#endif /* HB_ALGS_HH */
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