[algs] Adjust solve_itp
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@ -1344,7 +1344,10 @@ struct
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HB_FUNCOBJ (hb_dec);
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/* For documentation and implementation see:
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/* Adapted from kurbo implementation with extra parameters added,
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* and finding for a particular range instead of 0.
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*
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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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@ -1355,12 +1358,12 @@ 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 min_y, double max_y,
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double &ya, double &yb, double &y)
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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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const unsigned n0 = 1; // Hardwired
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const double k1 = 0.2 / (b - a); // Hardwired.
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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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@ -1370,8 +1373,8 @@ double solve_itp (func_t f,
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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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// This has k2 = 2 hardwired for efficiency.
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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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@ -334,8 +334,6 @@ hb_shape_justify (hb_font_t *font,
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}
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double epsilon = (b - a) / (1<<14);
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const unsigned n0 = 1;
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const double k1 = 0.2 / (b - a);
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bool failed = false;
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auto f = [&] (double x)
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@ -361,8 +359,6 @@ hb_shape_justify (hb_font_t *font,
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double itp = solve_itp (f,
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a, b,
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epsilon,
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n0,
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k1,
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min_target_width, max_target_width,
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ya, yb, y);
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