📄 len4.c
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/* * len4.c - find length of the 4-vector v having components v = [a b c d] * programmed by: Alan Paeth, 17-Oct-1994 * * This Euclidean distance estimator * * 1) can only overestimate, making it useful for containment heuristics, * 2) is exact for vectors [1 0 0 0] (len4 = 1) and [1 1 1 1] (len4 = 2) * under all permutations, sign changes and (integer) scaling (*), * 3) is nearly exact for vectors [1 1 0 0] and [1 1 1 0] (len4=irrational) * subject to the same conditions as in (2) above, * 4) offers best 3D fit using the nested form len3(a,b,c) = len4(a,b,c,0) * 5) may be easily reprogrammed for floating point operation by rewriting * all occurences of the string "int" with "double" or "float" and by * removing the "a++" rounding fudge immediately before the return. * (*) - exact estimates hold only in the presence of the mod: one line up. * * Note: worst-case error occurs for vectors of the form [60c 25c 19c 16c] * and is worsened (because of increased a++ rounding imprecision) * with vector [2 1 1 1]. Otherwise (c large), the maximum error in * overestimation is always bounded by 16% [1.1597+ = sqrt(538)/20]. */ #define absv(x) if (x < 0) x = -x#define inorder(x,y) {int t; if ((t = a - b) < 0) {a -= t; b += t; } }int len4(a, b, c, d) { absv(a); absv(b); /* get the absolute values */ absv(c); absv(d); /* (component magnitudes) */ inorder(a, b); inorder(c, d); /* everyone has a chance to play */ inorder(a, c); inorder(b, d); /* (a,d) are big (winner, loser) */ inorder(b, c); /* playoff for 2nd and 3rd slots */ a += (25*b + 19*c + 16*d)/60; /* compute 4D approximate length *//* a += (5*b + 4*c + 3*d)/12; .. only .1% worse; easy to eval */ a++; /* Roundoff -> underestimation */ return(a); /* omit the above one bit jitter */ }
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