[1172] | 1 | /*
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| 2 | emd.c
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| 3 |
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| 4 | Last update: 3/14/98 (but see emd.h for a list newer changes)
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| 5 |
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| 6 | An implementation of the Earth Movers Distance.
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| 7 | Based of the solution for the Transportation problem as described in
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| 8 | "Introduction to Mathematical Programming" by F. S. Hillier and
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| 9 | G. J. Lieberman, McGraw-Hill, 1990.
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| 10 |
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| 11 | Copyright (C) 1998 Yossi Rubner
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| 12 | Computer Science Department, Stanford University
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| 13 | E-Mail: rubner@cs.stanford.edu URL: http://robotics.stanford.edu/~rubner/emd/default.htm
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| 14 | */
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| 15 |
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| 16 | // For a list of changes since 2020, see emd.h
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| 17 |
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| 18 | #include <stdio.h>
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| 19 | #include <stdlib.h>
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| 20 | #include <math.h>
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| 21 | #include <algorithm>
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| 22 |
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| 23 | #include "emd.h"
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| 24 |
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| 25 | #define DEBUG_LEVEL 0
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| 26 | /*
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| 27 | DEBUG_LEVEL:
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| 28 | 0 = NO MESSAGES
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| 29 | 1 = PRINT THE NUMBER OF ITERATIONS AND THE FINAL RESULT
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| 30 | 2 = PRINT THE RESULT AFTER EVERY ITERATION
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| 31 | 3 = PRINT ALSO THE FLOW AFTER EVERY ITERATION
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| 32 | 4 = PRINT A LOT OF INFORMATION (PROBABLY USEFUL ONLY FOR THE AUTHOR)
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| 33 | */
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| 34 |
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| 35 | /* NEW TYPES DEFINITION */
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| 36 |
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| 37 | /* node1_t IS USED FOR SINGLE-LINKED LISTS */
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| 38 | typedef struct node1_t {
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| 39 | int i;
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| 40 | double val;
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| 41 | struct node1_t *Next;
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| 42 | } node1_t;
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| 43 |
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| 44 | /* node1_t IS USED FOR DOUBLE-LINKED LISTS */
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| 45 | typedef struct node2_t {
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| 46 | int i, j;
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| 47 | double val;
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| 48 | struct node2_t *NextC; /* NEXT COLUMN */
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| 49 | struct node2_t *NextR; /* NEXT ROW */
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| 50 | } node2_t;
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| 51 |
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| 52 |
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| 53 |
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| 54 | /* GLOBAL VARIABLE DECLARATION */
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| 55 |
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| 56 | /* VARIABLES TO HANDLE _X EFFICIENTLY */
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| 57 | static node2_t *_EndX, *_EnterX;
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| 58 | static double _maxW;
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| 59 | static float _maxC;
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| 60 |
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| 61 | /* DECLARATION OF FUNCTIONS */
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| 62 | static float init(signature_t *Signature1, signature_t *Signature2,
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| 63 | float (*Dist)(feature_t *, feature_t *), int _n1, int _n2,
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| 64 | float **_CM, node2_t *_XV, char **_IsX, node2_t **_RowsX, node2_t **_ColsX);
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| 65 | static void findBasicVariables(node1_t *U, node1_t *V, int _n1, int _n2, float **_CM, char **_IsX);
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| 66 | static int isOptimal(node1_t *U, node1_t *V, int _n1, int _n2, float **_CM, char **_IsX);
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| 67 | static int findLoop(node2_t **Loop, int _n1, int _n2, node2_t *_XV, node2_t **_RowsX, node2_t **_ColsX);
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| 68 | static void newSol(int _n1, int _n2, node2_t *_XV, char **_IsX, node2_t **_RowsX, node2_t **_ColsX);
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| 69 | static void russel(double *S, double *D, int _n1, int _n2, float **_CM, char **_IsX, node2_t **_RowsX, node2_t **_ColsX);
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| 70 | static void addBasicVariable(int minI, int minJ, double *S, double *D,
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| 71 | node1_t *PrevUMinI, node1_t *PrevVMinJ,
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| 72 | node1_t *UHead, char **_IsX, node2_t **_RowsX, node2_t **_ColsX);
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| 73 | #if DEBUG_LEVEL > 0
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| 74 | static void printSolution();
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| 75 | #endif
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| 76 |
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| 77 |
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| 78 | /******************************************************************************
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| 79 | float emd(signature_t *Signature1, signature_t *Signature2,
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| 80 | float (*Dist)(feature_t *, feature_t *), flow_t *Flow, int *FlowSize)
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| 81 |
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| 82 | where
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| 83 |
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| 84 | Signature1, Signature2 Pointers to signatures that their distance we want
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| 85 | to compute.
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| 86 | Dist Pointer to the ground distance. i.e. the function that computes
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| 87 | the distance between two features.
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| 88 | Flow (Optional) Pointer to a vector of flow_t (defined in emd.h)
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| 89 | where the resulting flow will be stored. Flow must have n1+n2-1
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| 90 | elements, where n1 and n2 are the sizes of the two signatures
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| 91 | respectively.
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| 92 | If NULL, the flow is not returned.
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| 93 | FlowSize (Optional) Pointer to an integer where the number of elements in
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| 94 | Flow will be stored
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| 95 |
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| 96 | ******************************************************************************/
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| 97 |
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| 98 | float emd(signature_t *Signature1, signature_t *Signature2,
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| 99 | float (*Dist)(feature_t *, feature_t *),
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| 100 | flow_t *Flow, int *FlowSize, int _n1, int _n2)
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| 101 | {
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| 102 | int itr;
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| 103 | int max_n = std::max(_n1, _n2); //max_n was introduced in r1062 instead of the #defined constant MAX_SIG_SIZE1=1000 in the original implementation. max_n is better than the constant, but it would be even better to use either _n1 or _n2, if we only knew what size each individual array should precisely have.
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| 104 | double totalCost;
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| 105 | float w;
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| 106 | node2_t *XP;
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| 107 | flow_t *FlowP;
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| 108 | node1_t *U=new node1_t[max_n], *V=new node1_t[max_n];
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| 109 | /* THE COST MATRIX */
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| 110 | float** _CM = new float*[_n1];
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| 111 | char** _IsX = new char*[_n1];
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| 112 | for(int k = 0; k < _n1; ++k)
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| 113 | {
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| 114 | _CM[k] = new float[_n2];
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| 115 | _IsX[k] = new char[_n2];
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| 116 | }
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| 117 | /* THE BASIC VARIABLES VECTOR */
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| 118 | node2_t *_XV = new node2_t[max_n*2];
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| 119 | node2_t **_RowsX = new node2_t*[max_n*2];
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| 120 | node2_t **_ColsX = new node2_t*[max_n*2];
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| 121 |
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| 122 | w = init(Signature1, Signature2, Dist, _n1, _n2, _CM, _XV, _IsX, _RowsX, _ColsX);
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| 123 |
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| 124 | #if DEBUG_LEVEL > 1
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| 125 | printf("\nINITIAL SOLUTION:\n");
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| 126 | printSolution();
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| 127 | #endif
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| 128 |
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| 129 | if (_n1 > 1 && _n2 > 1) /* IF _n1 = 1 OR _n2 = 1 THEN WE ARE DONE */
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| 130 | {
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| 131 | for (itr = 1; itr < MAX_ITERATIONS; itr++)
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| 132 | {
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| 133 | /* FIND BASIC VARIABLES */
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| 134 | findBasicVariables(U, V, _n1, _n2, _CM, _IsX);
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| 135 |
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| 136 | /* CHECK FOR OPTIMALITY */
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| 137 | if (isOptimal(U, V, _n1, _n2, _CM, _IsX))
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| 138 | break;
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| 139 |
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| 140 | /* IMPROVE SOLUTION */
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| 141 | newSol(_n1, _n2, _XV, _IsX, _RowsX, _ColsX);
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| 142 |
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| 143 | #if DEBUG_LEVEL > 1
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| 144 | printf("\nITERATION # %d \n", itr);
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| 145 | printSolution();
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| 146 | #endif
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| 147 | }
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| 148 |
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| 149 | if (itr == MAX_ITERATIONS) //print a warning message
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| 150 | {
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| 151 | #define EMD_LIMIT_WARNING_MESSAGES 10 //if thousands of such messages are printed, we group them to avoid spamming stderr. Undefine (comment out) to disable.
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| 152 | #ifdef EMD_LIMIT_WARNING_MESSAGES
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| 153 | static int warncounter = 0;
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| 154 | static int warnnextlimit = 1;
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| 155 | warncounter++;
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| 156 | if (warncounter == warnnextlimit)
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| 157 | {
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| 158 | fprintf(stderr, "[repeated %dx in total, next warning at %dx] ", warncounter, warnnextlimit * EMD_LIMIT_WARNING_MESSAGES);
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| 159 | #endif
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| 160 | fprintf(stderr, "emd: Maximum number of iterations (%d) has been reached\n", MAX_ITERATIONS);
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| 161 | #ifdef EMD_LIMIT_WARNING_MESSAGES
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| 162 | warnnextlimit *= EMD_LIMIT_WARNING_MESSAGES;
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| 163 | }
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| 164 | #endif
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| 165 | }
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| 166 | }
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| 167 |
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| 168 | /* COMPUTE THE TOTAL FLOW */
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| 169 | totalCost = 0;
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| 170 | if (Flow != NULL)
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| 171 | FlowP = Flow;
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| 172 | for(XP=_XV; XP < _EndX; XP++)
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| 173 | {
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| 174 | if (XP == _EnterX) /* _EnterX IS THE EMPTY SLOT */
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| 175 | continue;
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| 176 | if (XP->i == Signature1->n || XP->j == Signature2->n) /* DUMMY FEATURE */
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| 177 | continue;
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| 178 |
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| 179 | if (XP->val == 0) /* ZERO FLOW */
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| 180 | continue;
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| 181 |
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| 182 | totalCost += (double)XP->val * _CM[XP->i][XP->j];
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| 183 | if (Flow != NULL)
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| 184 | {
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| 185 | FlowP->from = XP->i;
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| 186 | FlowP->to = XP->j;
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| 187 | FlowP->amount = XP->val;
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| 188 | FlowP++;
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| 189 | }
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| 190 | }
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| 191 | if (Flow != NULL)
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| 192 | *FlowSize = FlowP-Flow;
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| 193 |
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| 194 | #if DEBUG_LEVEL > 0
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| 195 | printf("\n*** OPTIMAL SOLUTION (%d ITERATIONS): %f ***\n", itr, totalCost);
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| 196 | #endif
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| 197 |
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| 198 | for(int k = 0; k < _n1; ++k)
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| 199 | {
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| 200 | delete[] _CM[k];
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| 201 | delete[] _IsX[k];
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| 202 | }
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| 203 | delete[] _CM;
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| 204 | delete[] _IsX;
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| 205 | delete[] _XV;
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| 206 | delete[] _RowsX;
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| 207 | delete[] _ColsX;
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| 208 |
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| 209 | delete[] U;
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| 210 | delete[] V;
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| 211 |
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| 212 | /* RETURN THE NORMALIZED COST == EMD */
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| 213 | return (float)(totalCost / w);
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| 214 | }
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| 215 |
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| 216 |
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| 217 |
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| 218 |
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| 219 |
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| 220 | /**********************
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| 221 | init
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| 222 | **********************/
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| 223 | static float init(signature_t *Signature1, signature_t *Signature2,
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| 224 | float (*Dist)(feature_t *, feature_t *), int _n1, int _n2,
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| 225 | float **_CM, node2_t *_XV, char **_IsX, node2_t **_RowsX, node2_t **_ColsX)
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| 226 | {
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| 227 | int i, j;
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| 228 | int max_n = std::max(_n1, _n2); //max_n was introduced in r1062 instead of the #defined constant MAX_SIG_SIZE1=1000 in the original implementation. max_n is better than the constant, but it would be even better to use either _n1 or _n2, if we only knew what size each individual array should precisely have.
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| 229 | double sSum, dSum, diff;
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| 230 | feature_t *P1, *P2;
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| 231 | double *S=new double[max_n], *D=new double[max_n];
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| 232 |
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| 233 |
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| 234 | /* COMPUTE THE DISTANCE MATRIX */
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| 235 | _maxC = 0;
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| 236 | for(i=0, P1=Signature1->Features; i < _n1; i++, P1++)
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| 237 | for(j=0, P2=Signature2->Features; j < _n2; j++, P2++)
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| 238 | {
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| 239 | _CM[i][j] = Dist(P1, P2);
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| 240 | if (_CM[i][j] > _maxC)
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| 241 | _maxC = _CM[i][j];
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| 242 | }
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| 243 |
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| 244 | /* SUM UP THE SUPPLY AND DEMAND */
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| 245 | sSum = 0.0;
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| 246 | for(i=0; i < _n1; i++)
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| 247 | {
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| 248 | S[i] = Signature1->Weights[i];
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| 249 | sSum += Signature1->Weights[i];
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| 250 | _RowsX[i] = NULL;
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| 251 | }
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| 252 | dSum = 0.0;
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| 253 | for(j=0; j < _n2; j++)
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| 254 | {
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| 255 | D[j] = Signature2->Weights[j];
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| 256 | dSum += Signature2->Weights[j];
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| 257 | _ColsX[j] = NULL;
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| 258 | }
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| 259 |
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| 260 | /* IF SUPPLY DIFFERENT THAN THE DEMAND, ADD A ZERO-COST DUMMY CLUSTER */
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| 261 | diff = sSum - dSum;
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| 262 | if (fabs(diff) >= EPSILON * sSum)
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| 263 | {
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| 264 | if (diff < 0.0)
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| 265 | {
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| 266 | for (j=0; j < _n2; j++)
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| 267 | _CM[_n1][j] = 0;
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| 268 | S[_n1] = -diff;
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| 269 | _RowsX[_n1] = NULL;
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| 270 | _n1++;
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| 271 | }
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| 272 | else
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| 273 | {
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| 274 | for (i=0; i < _n1; i++)
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| 275 | _CM[i][_n2] = 0;
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| 276 | D[_n2] = diff;
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| 277 | _ColsX[_n2] = NULL;
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| 278 | _n2++;
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| 279 | }
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| 280 | }
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| 281 |
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| 282 | /* INITIALIZE THE BASIC VARIABLE STRUCTURES */
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| 283 | for (i=0; i < _n1; i++)
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| 284 | for (j=0; j < _n2; j++)
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| 285 | _IsX[i][j] = 0;
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| 286 | _EndX = _XV;
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| 287 |
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| 288 | _maxW = sSum > dSum ? sSum : dSum;
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| 289 |
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| 290 | /* FIND INITIAL SOLUTION */
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| 291 | russel(S, D, _n1, _n2, _CM, _IsX, _RowsX, _ColsX);
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| 292 |
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| 293 | _EnterX = _EndX++; /* AN EMPTY SLOT (ONLY _n1+_n2-1 BASIC VARIABLES) */
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| 294 |
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| 295 | delete[] S;
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| 296 | delete[] D;
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| 297 |
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| 298 | return sSum > dSum ? dSum : sSum;
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| 299 | }
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| 300 |
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| 301 |
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| 302 | /**********************
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| 303 | findBasicVariables
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| 304 | **********************/
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| 305 | static void findBasicVariables(node1_t *U, node1_t *V, int _n1, int _n2, float **_CM, char **_IsX)
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| 306 | {
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| 307 | int i, j, found;
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| 308 | int UfoundNum, VfoundNum;
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| 309 | node1_t u0Head, u1Head, *CurU, *PrevU;
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| 310 | node1_t v0Head, v1Head, *CurV, *PrevV;
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| 311 |
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| 312 | /* INITIALIZE THE ROWS LIST (U) AND THE COLUMNS LIST (V) */
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| 313 | u0Head.Next = CurU = U;
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| 314 | for (i=0; i < _n1; i++)
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| 315 | {
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| 316 | CurU->i = i;
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| 317 | CurU->Next = CurU+1;
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| 318 | CurU++;
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| 319 | }
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| 320 | (--CurU)->Next = NULL;
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| 321 | u1Head.Next = NULL;
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| 322 |
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| 323 | CurV = V+1;
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| 324 | v0Head.Next = _n2 > 1 ? V+1 : NULL;
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| 325 | for (j=1; j < _n2; j++)
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| 326 | {
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| 327 | CurV->i = j;
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| 328 | CurV->Next = CurV+1;
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| 329 | CurV++;
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| 330 | }
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| 331 | (--CurV)->Next = NULL;
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| 332 | v1Head.Next = NULL;
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| 333 |
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| 334 | /* THERE ARE _n1+_n2 VARIABLES BUT ONLY _n1+_n2-1 INDEPENDENT EQUATIONS,
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| 335 | SO SET V[0]=0 */
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| 336 | V[0].i = 0;
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| 337 | V[0].val = 0;
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| 338 | v1Head.Next = V;
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| 339 | v1Head.Next->Next = NULL;
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| 340 |
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| 341 | /* LOOP UNTIL ALL VARIABLES ARE FOUND */
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| 342 | UfoundNum=VfoundNum=0;
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| 343 | while (UfoundNum < _n1 || VfoundNum < _n2)
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| 344 | {
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| 345 |
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| 346 | #if DEBUG_LEVEL > 3
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| 347 | printf("UfoundNum=%d/%d,VfoundNum=%d/%d\n",UfoundNum,_n1,VfoundNum,_n2);
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| 348 | printf("U0=");
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| 349 | for(CurU = u0Head.Next; CurU != NULL; CurU = CurU->Next)
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| 350 | printf("[%d]",CurU-U);
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| 351 | printf("\n");
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| 352 | printf("U1=");
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| 353 | for(CurU = u1Head.Next; CurU != NULL; CurU = CurU->Next)
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| 354 | printf("[%d]",CurU-U);
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| 355 | printf("\n");
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| 356 | printf("V0=");
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| 357 | for(CurV = v0Head.Next; CurV != NULL; CurV = CurV->Next)
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| 358 | printf("[%d]",CurV-V);
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| 359 | printf("\n");
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| 360 | printf("V1=");
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| 361 | for(CurV = v1Head.Next; CurV != NULL; CurV = CurV->Next)
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| 362 | printf("[%d]",CurV-V);
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| 363 | printf("\n\n");
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| 364 | #endif
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| 365 |
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| 366 | found = 0;
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| 367 | if (VfoundNum < _n2)
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| 368 | {
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| 369 | /* LOOP OVER ALL MARKED COLUMNS */
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| 370 | PrevV = &v1Head;
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| 371 | for (CurV=v1Head.Next; CurV != NULL; CurV=CurV->Next)
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| 372 | {
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| 373 | j = CurV->i;
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| 374 | /* FIND THE VARIABLES IN COLUMN j */
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| 375 | PrevU = &u0Head;
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| 376 | for (CurU=u0Head.Next; CurU != NULL; CurU=CurU->Next)
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| 377 | {
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| 378 | i = CurU->i;
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| 379 | if (_IsX[i][j])
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| 380 | {
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| 381 | /* COMPUTE U[i] */
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| 382 | CurU->val = _CM[i][j] - CurV->val;
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| 383 | /* ...AND ADD IT TO THE MARKED LIST */
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| 384 | PrevU->Next = CurU->Next;
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| 385 | CurU->Next = u1Head.Next != NULL ? u1Head.Next : NULL;
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| 386 | u1Head.Next = CurU;
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| 387 | CurU = PrevU;
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| 388 | }
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| 389 | else
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| 390 | PrevU = CurU;
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| 391 | }
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| 392 | PrevV->Next = CurV->Next;
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| 393 | VfoundNum++;
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| 394 | found = 1;
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| 395 | }
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| 396 | }
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| 397 | if (UfoundNum < _n1)
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| 398 | {
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| 399 | /* LOOP OVER ALL MARKED ROWS */
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| 400 | PrevU = &u1Head;
|
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| 401 | for (CurU=u1Head.Next; CurU != NULL; CurU=CurU->Next)
|
---|
| 402 | {
|
---|
| 403 | i = CurU->i;
|
---|
| 404 | /* FIND THE VARIABLES IN ROWS i */
|
---|
| 405 | PrevV = &v0Head;
|
---|
| 406 | for (CurV=v0Head.Next; CurV != NULL; CurV=CurV->Next)
|
---|
| 407 | {
|
---|
| 408 | j = CurV->i;
|
---|
| 409 | if (_IsX[i][j])
|
---|
| 410 | {
|
---|
| 411 | /* COMPUTE V[j] */
|
---|
| 412 | CurV->val = _CM[i][j] - CurU->val;
|
---|
| 413 | /* ...AND ADD IT TO THE MARKED LIST */
|
---|
| 414 | PrevV->Next = CurV->Next;
|
---|
| 415 | CurV->Next = v1Head.Next != NULL ? v1Head.Next: NULL;
|
---|
| 416 | v1Head.Next = CurV;
|
---|
| 417 | CurV = PrevV;
|
---|
| 418 | }
|
---|
| 419 | else
|
---|
| 420 | PrevV = CurV;
|
---|
| 421 | }
|
---|
| 422 | PrevU->Next = CurU->Next;
|
---|
| 423 | UfoundNum++;
|
---|
| 424 | found = 1;
|
---|
| 425 | }
|
---|
| 426 | }
|
---|
| 427 | if (! found)
|
---|
| 428 | {
|
---|
| 429 | fprintf(stderr, "emd: Unexpected error in findBasicVariables!\n");
|
---|
| 430 | fprintf(stderr, "This typically happens when the EPSILON defined in\n");
|
---|
| 431 | fprintf(stderr, "emd.h is not right for the scale of the problem.\n");
|
---|
| 432 | exit(1);
|
---|
| 433 | }
|
---|
| 434 | }
|
---|
| 435 | }
|
---|
| 436 |
|
---|
| 437 |
|
---|
| 438 |
|
---|
| 439 |
|
---|
| 440 | /**********************
|
---|
| 441 | isOptimal
|
---|
| 442 | **********************/
|
---|
| 443 | static int isOptimal(node1_t *U, node1_t *V, int _n1, int _n2, float **_CM, char **_IsX)
|
---|
| 444 | {
|
---|
| 445 | double delta, deltaMin;
|
---|
| 446 | int i, j, minI, minJ;
|
---|
| 447 |
|
---|
| 448 | /* FIND THE MINIMAL Cij-Ui-Vj OVER ALL i,j */
|
---|
| 449 | deltaMin = INFINITY;
|
---|
| 450 | for(i=0; i < _n1; i++)
|
---|
| 451 | for(j=0; j < _n2; j++)
|
---|
| 452 | if (! _IsX[i][j])
|
---|
| 453 | {
|
---|
| 454 | delta = _CM[i][j] - U[i].val - V[j].val;
|
---|
| 455 | if (deltaMin > delta)
|
---|
| 456 | {
|
---|
| 457 | deltaMin = delta;
|
---|
| 458 | minI = i;
|
---|
| 459 | minJ = j;
|
---|
| 460 | }
|
---|
| 461 | }
|
---|
| 462 |
|
---|
| 463 | #if DEBUG_LEVEL > 3
|
---|
| 464 | printf("deltaMin=%f\n", deltaMin);
|
---|
| 465 | #endif
|
---|
| 466 |
|
---|
| 467 | if (deltaMin == INFINITY)
|
---|
| 468 | {
|
---|
| 469 | fprintf(stderr, "emd: Unexpected error in isOptimal.\n");
|
---|
| 470 | exit(0);
|
---|
| 471 | }
|
---|
| 472 |
|
---|
| 473 | _EnterX->i = minI;
|
---|
| 474 | _EnterX->j = minJ;
|
---|
| 475 |
|
---|
| 476 | /* IF NO NEGATIVE deltaMin, WE FOUND THE OPTIMAL SOLUTION */
|
---|
| 477 | return deltaMin >= -EPSILON * _maxC;
|
---|
| 478 |
|
---|
| 479 | /*
|
---|
| 480 | return deltaMin >= -EPSILON;
|
---|
| 481 | */
|
---|
| 482 | }
|
---|
| 483 |
|
---|
| 484 |
|
---|
| 485 | /**********************
|
---|
| 486 | newSol
|
---|
| 487 | **********************/
|
---|
| 488 | static void newSol(int _n1, int _n2, node2_t * _XV, char **_IsX, node2_t **_RowsX, node2_t **_ColsX)
|
---|
| 489 | {
|
---|
| 490 | int i, j, k;
|
---|
| 491 | int max_n = std::max(_n1, _n2); //max_n was introduced in r1062 instead of the #defined constant MAX_SIG_SIZE1=1000 in the original implementation. max_n is better than the constant, but it would be even better to use either _n1 or _n2, if we only knew what size each individual array should precisely have.
|
---|
| 492 | double xMin;
|
---|
| 493 | int steps;
|
---|
| 494 | node2_t **Loop=new node2_t*[2*max_n], *CurX, *LeaveX;
|
---|
| 495 |
|
---|
| 496 | #if DEBUG_LEVEL > 3
|
---|
| 497 | printf("EnterX = (%d,%d)\n", _EnterX->i, _EnterX->j);
|
---|
| 498 | #endif
|
---|
| 499 |
|
---|
| 500 | /* ENTER THE NEW BASIC VARIABLE */
|
---|
| 501 | i = _EnterX->i;
|
---|
| 502 | j = _EnterX->j;
|
---|
| 503 | _IsX[i][j] = 1;
|
---|
| 504 | _EnterX->NextC = _RowsX[i];
|
---|
| 505 | _EnterX->NextR = _ColsX[j];
|
---|
| 506 | _EnterX->val = 0;
|
---|
| 507 | _RowsX[i] = _EnterX;
|
---|
| 508 | _ColsX[j] = _EnterX;
|
---|
| 509 |
|
---|
| 510 | /* FIND A CHAIN REACTION */
|
---|
| 511 | steps = findLoop(Loop, _n1, _n2, _XV, _RowsX, _ColsX);
|
---|
| 512 |
|
---|
| 513 | /* FIND THE LARGEST VALUE IN THE LOOP */
|
---|
| 514 | xMin = INFINITY;
|
---|
| 515 | for (k=1; k < steps; k+=2)
|
---|
| 516 | {
|
---|
| 517 | if (Loop[k]->val < xMin)
|
---|
| 518 | {
|
---|
| 519 | LeaveX = Loop[k];
|
---|
| 520 | xMin = Loop[k]->val;
|
---|
| 521 | }
|
---|
| 522 | }
|
---|
| 523 |
|
---|
| 524 | /* UPDATE THE LOOP */
|
---|
| 525 | for (k=0; k < steps; k+=2)
|
---|
| 526 | {
|
---|
| 527 | Loop[k]->val += xMin;
|
---|
| 528 | Loop[k+1]->val -= xMin;
|
---|
| 529 | }
|
---|
| 530 |
|
---|
| 531 | #if DEBUG_LEVEL > 3
|
---|
| 532 | printf("LeaveX = (%d,%d)\n", LeaveX->i, LeaveX->j);
|
---|
| 533 | #endif
|
---|
| 534 |
|
---|
| 535 | /* REMOVE THE LEAVING BASIC VARIABLE */
|
---|
| 536 | i = LeaveX->i;
|
---|
| 537 | j = LeaveX->j;
|
---|
| 538 | _IsX[i][j] = 0;
|
---|
| 539 | if (_RowsX[i] == LeaveX)
|
---|
| 540 | _RowsX[i] = LeaveX->NextC;
|
---|
| 541 | else
|
---|
| 542 | for (CurX=_RowsX[i]; CurX != NULL; CurX = CurX->NextC)
|
---|
| 543 | if (CurX->NextC == LeaveX)
|
---|
| 544 | {
|
---|
| 545 | CurX->NextC = CurX->NextC->NextC;
|
---|
| 546 | break;
|
---|
| 547 | }
|
---|
| 548 | if (_ColsX[j] == LeaveX)
|
---|
| 549 | _ColsX[j] = LeaveX->NextR;
|
---|
| 550 | else
|
---|
| 551 | for (CurX=_ColsX[j]; CurX != NULL; CurX = CurX->NextR)
|
---|
| 552 | if (CurX->NextR == LeaveX)
|
---|
| 553 | {
|
---|
| 554 | CurX->NextR = CurX->NextR->NextR;
|
---|
| 555 | break;
|
---|
| 556 | }
|
---|
| 557 |
|
---|
| 558 | /* SET _EnterX TO BE THE NEW EMPTY SLOT */
|
---|
| 559 | _EnterX = LeaveX;
|
---|
| 560 |
|
---|
| 561 | delete[] Loop;
|
---|
| 562 | }
|
---|
| 563 |
|
---|
| 564 |
|
---|
| 565 |
|
---|
| 566 | /**********************
|
---|
| 567 | findLoop
|
---|
| 568 | **********************/
|
---|
| 569 | static int findLoop(node2_t **Loop, int _n1, int _n2, node2_t *_XV, node2_t **_RowsX, node2_t **_ColsX)
|
---|
| 570 | {
|
---|
| 571 | int i, steps;
|
---|
| 572 | int max_n = std::max(_n1, _n2); //max_n was introduced in r1062 instead of the #defined constant MAX_SIG_SIZE1=1000 in the original implementation. max_n is better than the constant, but it would be even better to use either _n1 or _n2, if we only knew what size each individual array should precisely have.
|
---|
| 573 | node2_t **CurX, *NewX;
|
---|
| 574 | char *IsUsed=new char[2*max_n];
|
---|
| 575 |
|
---|
| 576 | for (i=0; i < _n1+_n2; i++)
|
---|
| 577 | IsUsed[i] = 0;
|
---|
| 578 |
|
---|
| 579 | CurX = Loop;
|
---|
| 580 | NewX = *CurX = _EnterX;
|
---|
| 581 | IsUsed[_EnterX-_XV] = 1;
|
---|
| 582 | steps = 1;
|
---|
| 583 |
|
---|
| 584 | do
|
---|
| 585 | {
|
---|
| 586 | if (steps%2 == 1)
|
---|
| 587 | {
|
---|
| 588 | /* FIND AN UNUSED X IN THE ROW */
|
---|
| 589 | NewX = _RowsX[NewX->i];
|
---|
| 590 | while (NewX != NULL && IsUsed[NewX-_XV])
|
---|
| 591 | NewX = NewX->NextC;
|
---|
| 592 | }
|
---|
| 593 | else
|
---|
| 594 | {
|
---|
| 595 | /* FIND AN UNUSED X IN THE COLUMN, OR THE ENTERING X */
|
---|
| 596 | NewX = _ColsX[NewX->j];
|
---|
| 597 | while (NewX != NULL && IsUsed[NewX-_XV] && NewX != _EnterX)
|
---|
| 598 | NewX = NewX->NextR;
|
---|
| 599 | if (NewX == _EnterX)
|
---|
| 600 | break;
|
---|
| 601 | }
|
---|
| 602 |
|
---|
| 603 | if (NewX != NULL) /* FOUND THE NEXT X */
|
---|
| 604 | {
|
---|
| 605 | /* ADD X TO THE LOOP */
|
---|
| 606 | *++CurX = NewX;
|
---|
| 607 | IsUsed[NewX-_XV] = 1;
|
---|
| 608 | steps++;
|
---|
| 609 | #if DEBUG_LEVEL > 3
|
---|
| 610 | printf("steps=%d, NewX=(%d,%d)\n", steps, NewX->i, NewX->j);
|
---|
| 611 | #endif
|
---|
| 612 | }
|
---|
| 613 | else /* DIDN'T FIND THE NEXT X */
|
---|
| 614 | {
|
---|
| 615 | /* BACKTRACK */
|
---|
| 616 | do
|
---|
| 617 | {
|
---|
| 618 | NewX = *CurX;
|
---|
| 619 | do
|
---|
| 620 | {
|
---|
| 621 | if (steps%2 == 1)
|
---|
| 622 | NewX = NewX->NextR;
|
---|
| 623 | else
|
---|
| 624 | NewX = NewX->NextC;
|
---|
| 625 | } while (NewX != NULL && IsUsed[NewX-_XV]);
|
---|
| 626 |
|
---|
| 627 | if (NewX == NULL)
|
---|
| 628 | {
|
---|
| 629 | IsUsed[*CurX-_XV] = 0;
|
---|
| 630 | CurX--;
|
---|
| 631 | steps--;
|
---|
| 632 | }
|
---|
| 633 | } while (NewX == NULL && CurX >= Loop);
|
---|
| 634 |
|
---|
| 635 | #if DEBUG_LEVEL > 3
|
---|
| 636 | printf("BACKTRACKING TO: steps=%d, NewX=(%d,%d)\n",
|
---|
| 637 | steps, NewX->i, NewX->j);
|
---|
| 638 | #endif
|
---|
| 639 | IsUsed[*CurX-_XV] = 0;
|
---|
| 640 | *CurX = NewX;
|
---|
| 641 | IsUsed[NewX-_XV] = 1;
|
---|
| 642 | }
|
---|
| 643 | } while(CurX >= Loop);
|
---|
| 644 |
|
---|
| 645 | if (CurX == Loop)
|
---|
| 646 | {
|
---|
| 647 | fprintf(stderr, "emd: Unexpected error in findLoop!\n");
|
---|
| 648 | exit(1);
|
---|
| 649 | }
|
---|
| 650 | #if DEBUG_LEVEL > 3
|
---|
| 651 | printf("FOUND LOOP:\n");
|
---|
| 652 | for (i=0; i < steps; i++)
|
---|
| 653 | printf("%d: (%d,%d)\n", i, Loop[i]->i, Loop[i]->j);
|
---|
| 654 | #endif
|
---|
| 655 |
|
---|
| 656 | delete[] IsUsed;
|
---|
| 657 |
|
---|
| 658 | return steps;
|
---|
| 659 | }
|
---|
| 660 |
|
---|
| 661 |
|
---|
| 662 |
|
---|
| 663 | /**********************
|
---|
| 664 | russel
|
---|
| 665 | **********************/
|
---|
| 666 | static void russel(double *S, double *D, int _n1, int _n2, float **_CM, char **_IsX, node2_t **_RowsX, node2_t **_ColsX)
|
---|
| 667 | {
|
---|
| 668 | int i, j, found, minI, minJ;
|
---|
| 669 | int max_n = std::max(_n1, _n2); //max_n was introduced in r1062 instead of the #defined constant MAX_SIG_SIZE1=1000 in the original implementation. max_n is better than the constant, but it would be even better to use either _n1 or _n2, if we only knew what size each individual array should precisely have.
|
---|
| 670 | double deltaMin, oldVal, diff;
|
---|
| 671 | double** Delta = new double*[_n1];
|
---|
| 672 | for(int k = 0; k < _n1; ++k)
|
---|
| 673 | Delta[k] = new double[_n2];
|
---|
| 674 | node1_t *Ur=new node1_t[max_n], *Vr=new node1_t[max_n];
|
---|
| 675 | node1_t uHead, *CurU, *PrevU;
|
---|
| 676 | node1_t vHead, *CurV, *PrevV;
|
---|
| 677 | node1_t *PrevUMinI, *PrevVMinJ, *Remember;
|
---|
| 678 |
|
---|
| 679 | /* INITIALIZE THE ROWS LIST (Ur), AND THE COLUMNS LIST (Vr) */
|
---|
| 680 | uHead.Next = CurU = Ur;
|
---|
| 681 | for (i=0; i < _n1; i++)
|
---|
| 682 | {
|
---|
| 683 | CurU->i = i;
|
---|
| 684 | CurU->val = -INFINITY;
|
---|
| 685 | CurU->Next = CurU+1;
|
---|
| 686 | CurU++;
|
---|
| 687 | }
|
---|
| 688 | (--CurU)->Next = NULL;
|
---|
| 689 |
|
---|
| 690 | vHead.Next = CurV = Vr;
|
---|
| 691 | for (j=0; j < _n2; j++)
|
---|
| 692 | {
|
---|
| 693 | CurV->i = j;
|
---|
| 694 | CurV->val = -INFINITY;
|
---|
| 695 | CurV->Next = CurV+1;
|
---|
| 696 | CurV++;
|
---|
| 697 | }
|
---|
| 698 | (--CurV)->Next = NULL;
|
---|
| 699 |
|
---|
| 700 | /* FIND THE MAXIMUM ROW AND COLUMN VALUES (Ur[i] AND Vr[j]) */
|
---|
| 701 | for(i=0; i < _n1 ; i++)
|
---|
| 702 | for(j=0; j < _n2 ; j++)
|
---|
| 703 | {
|
---|
| 704 | float v;
|
---|
| 705 | v = _CM[i][j];
|
---|
| 706 | if (Ur[i].val <= v)
|
---|
| 707 | Ur[i].val = v;
|
---|
| 708 | if (Vr[j].val <= v)
|
---|
| 709 | Vr[j].val = v;
|
---|
| 710 | }
|
---|
| 711 |
|
---|
| 712 | /* COMPUTE THE Delta MATRIX */
|
---|
| 713 | for(i=0; i < _n1 ; i++)
|
---|
| 714 | for(j=0; j < _n2 ; j++)
|
---|
| 715 | Delta[i][j] = _CM[i][j] - Ur[i].val - Vr[j].val;
|
---|
| 716 |
|
---|
| 717 | /* FIND THE BASIC VARIABLES */
|
---|
| 718 | do
|
---|
| 719 | {
|
---|
| 720 | #if DEBUG_LEVEL > 3
|
---|
| 721 | printf("Ur=");
|
---|
| 722 | for(CurU = uHead.Next; CurU != NULL; CurU = CurU->Next)
|
---|
| 723 | printf("[%d]",CurU-Ur);
|
---|
| 724 | printf("\n");
|
---|
| 725 | printf("Vr=");
|
---|
| 726 | for(CurV = vHead.Next; CurV != NULL; CurV = CurV->Next)
|
---|
| 727 | printf("[%d]",CurV-Vr);
|
---|
| 728 | printf("\n");
|
---|
| 729 | printf("\n\n");
|
---|
| 730 | #endif
|
---|
| 731 |
|
---|
| 732 | /* FIND THE SMALLEST Delta[i][j] */
|
---|
| 733 | found = 0;
|
---|
| 734 | deltaMin = INFINITY;
|
---|
| 735 | PrevU = &uHead;
|
---|
| 736 | for (CurU=uHead.Next; CurU != NULL; CurU=CurU->Next)
|
---|
| 737 | {
|
---|
| 738 | int i;
|
---|
| 739 | i = CurU->i;
|
---|
| 740 | PrevV = &vHead;
|
---|
| 741 | for (CurV=vHead.Next; CurV != NULL; CurV=CurV->Next)
|
---|
| 742 | {
|
---|
| 743 | int j;
|
---|
| 744 | j = CurV->i;
|
---|
| 745 | if (deltaMin > Delta[i][j])
|
---|
| 746 | {
|
---|
| 747 | deltaMin = Delta[i][j];
|
---|
| 748 | minI = i;
|
---|
| 749 | minJ = j;
|
---|
| 750 | PrevUMinI = PrevU;
|
---|
| 751 | PrevVMinJ = PrevV;
|
---|
| 752 | found = 1;
|
---|
| 753 | }
|
---|
| 754 | PrevV = CurV;
|
---|
| 755 | }
|
---|
| 756 | PrevU = CurU;
|
---|
| 757 | }
|
---|
| 758 |
|
---|
| 759 | if (! found)
|
---|
| 760 | break;
|
---|
| 761 |
|
---|
| 762 | /* ADD X[minI][minJ] TO THE BASIS, AND ADJUST SUPPLIES AND COST */
|
---|
| 763 | Remember = PrevUMinI->Next;
|
---|
| 764 | addBasicVariable(minI, minJ, S, D, PrevUMinI, PrevVMinJ, &uHead, _IsX, _RowsX, _ColsX);
|
---|
| 765 |
|
---|
| 766 | /* UPDATE THE NECESSARY Delta[][] */
|
---|
| 767 | if (Remember == PrevUMinI->Next) /* LINE minI WAS DELETED */
|
---|
| 768 | {
|
---|
| 769 | for (CurV=vHead.Next; CurV != NULL; CurV=CurV->Next)
|
---|
| 770 | {
|
---|
| 771 | int j;
|
---|
| 772 | j = CurV->i;
|
---|
| 773 | if (CurV->val == _CM[minI][j]) /* COLUMN j NEEDS UPDATING */
|
---|
| 774 | {
|
---|
| 775 | /* FIND THE NEW MAXIMUM VALUE IN THE COLUMN */
|
---|
| 776 | oldVal = CurV->val;
|
---|
| 777 | CurV->val = -INFINITY;
|
---|
| 778 | for (CurU=uHead.Next; CurU != NULL; CurU=CurU->Next)
|
---|
| 779 | {
|
---|
| 780 | int i;
|
---|
| 781 | i = CurU->i;
|
---|
| 782 | if (CurV->val <= _CM[i][j])
|
---|
| 783 | CurV->val = _CM[i][j];
|
---|
| 784 | }
|
---|
| 785 |
|
---|
| 786 | /* IF NEEDED, ADJUST THE RELEVANT Delta[*][j] */
|
---|
| 787 | diff = oldVal - CurV->val;
|
---|
| 788 | if (fabs(diff) < EPSILON * _maxC)
|
---|
| 789 | for (CurU=uHead.Next; CurU != NULL; CurU=CurU->Next)
|
---|
| 790 | Delta[CurU->i][j] += diff;
|
---|
| 791 | }
|
---|
| 792 | }
|
---|
| 793 | }
|
---|
| 794 | else /* COLUMN minJ WAS DELETED */
|
---|
| 795 | {
|
---|
| 796 | for (CurU=uHead.Next; CurU != NULL; CurU=CurU->Next)
|
---|
| 797 | {
|
---|
| 798 | int i;
|
---|
| 799 | i = CurU->i;
|
---|
| 800 | if (CurU->val == _CM[i][minJ]) /* ROW i NEEDS UPDATING */
|
---|
| 801 | {
|
---|
| 802 | /* FIND THE NEW MAXIMUM VALUE IN THE ROW */
|
---|
| 803 | oldVal = CurU->val;
|
---|
| 804 | CurU->val = -INFINITY;
|
---|
| 805 | for (CurV=vHead.Next; CurV != NULL; CurV=CurV->Next)
|
---|
| 806 | {
|
---|
| 807 | int j;
|
---|
| 808 | j = CurV->i;
|
---|
| 809 | if(CurU->val <= _CM[i][j])
|
---|
| 810 | CurU->val = _CM[i][j];
|
---|
| 811 | }
|
---|
| 812 |
|
---|
| 813 | /* If NEEDED, ADJUST THE RELEVANT Delta[i][*] */
|
---|
| 814 | diff = oldVal - CurU->val;
|
---|
| 815 | if (fabs(diff) < EPSILON * _maxC)
|
---|
| 816 | for (CurV=vHead.Next; CurV != NULL; CurV=CurV->Next)
|
---|
| 817 | Delta[i][CurV->i] += diff;
|
---|
| 818 | }
|
---|
| 819 | }
|
---|
| 820 | }
|
---|
| 821 | } while (uHead.Next != NULL || vHead.Next != NULL);
|
---|
| 822 |
|
---|
| 823 | delete[] Ur;
|
---|
| 824 | delete[] Vr;
|
---|
| 825 | for(int k = 0; k < _n1; ++k)
|
---|
| 826 | delete[] Delta[k];
|
---|
| 827 | delete[] Delta;
|
---|
| 828 | }
|
---|
| 829 |
|
---|
| 830 |
|
---|
| 831 |
|
---|
| 832 |
|
---|
| 833 | /**********************
|
---|
| 834 | addBasicVariable
|
---|
| 835 | **********************/
|
---|
| 836 | static void addBasicVariable(int minI, int minJ, double *S, double *D,
|
---|
| 837 | node1_t *PrevUMinI, node1_t *PrevVMinJ,
|
---|
| 838 | node1_t *UHead, char **_IsX, node2_t **_RowsX, node2_t **_ColsX)
|
---|
| 839 | {
|
---|
| 840 | double T;
|
---|
| 841 |
|
---|
| 842 | if (fabs(S[minI]-D[minJ]) <= EPSILON * _maxW) /* DEGENERATE CASE */
|
---|
| 843 | {
|
---|
| 844 | T = S[minI];
|
---|
| 845 | S[minI] = 0;
|
---|
| 846 | D[minJ] -= T;
|
---|
| 847 | }
|
---|
| 848 | else if (S[minI] < D[minJ]) /* SUPPLY EXHAUSTED */
|
---|
| 849 | {
|
---|
| 850 | T = S[minI];
|
---|
| 851 | S[minI] = 0;
|
---|
| 852 | D[minJ] -= T;
|
---|
| 853 | }
|
---|
| 854 | else /* DEMAND EXHAUSTED */
|
---|
| 855 | {
|
---|
| 856 | T = D[minJ];
|
---|
| 857 | D[minJ] = 0;
|
---|
| 858 | S[minI] -= T;
|
---|
| 859 | }
|
---|
| 860 |
|
---|
| 861 | /* X(minI,minJ) IS A BASIC VARIABLE */
|
---|
| 862 | _IsX[minI][minJ] = 1;
|
---|
| 863 |
|
---|
| 864 | _EndX->val = T;
|
---|
| 865 | _EndX->i = minI;
|
---|
| 866 | _EndX->j = minJ;
|
---|
| 867 | _EndX->NextC = _RowsX[minI];
|
---|
| 868 | _EndX->NextR = _ColsX[minJ];
|
---|
| 869 | _RowsX[minI] = _EndX;
|
---|
| 870 | _ColsX[minJ] = _EndX;
|
---|
| 871 | _EndX++;
|
---|
| 872 |
|
---|
| 873 | /* DELETE SUPPLY ROW ONLY IF THE EMPTY, AND IF NOT LAST ROW */
|
---|
| 874 | if (S[minI] == 0 && UHead->Next->Next != NULL)
|
---|
| 875 | PrevUMinI->Next = PrevUMinI->Next->Next; /* REMOVE ROW FROM LIST */
|
---|
| 876 | else
|
---|
| 877 | PrevVMinJ->Next = PrevVMinJ->Next->Next; /* REMOVE COLUMN FROM LIST */
|
---|
| 878 | }
|
---|