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📄 bbloadd.cpp

📁 一本全面剖析C++数据结构算法的书籍
💻 CPP
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// max profit branch-and-bound loading// finds best loading and its value#include <iostream.h>#include "bbnode.h"#include "maxheap.h"template<class T>void AddLiveNode(MaxHeap<HeapNode<T> > &H, bbnode *E,                   T wt, bool ch, int lev){// Add a level lev live node with upper weight // wt to max heap H.  New node is a child of E. // ch is true iff new node is the left child.   bbnode *b = new bbnode;   b->parent = E;   b->LChild = ch;   HeapNode<T> N;   N.uweight = wt;   N.level = lev;   N.ptr = b;   H.Insert(N);}template<class T>T MaxLoading(T w[], T c, int n, int bestx[]){// Return value of best loading.  Return best // loading in bestx. // Use max-profit branch and bound.   // define a max heap for up to   // 1000 live nodes   MaxHeap<HeapNode<T> > H(1000);      // define array of remaining weights   // r[j] sum of weights w[j+1:n]   T *r = new T [n+1];   r[n] = 0;   for (int j = n-1; j > 0; j--)      r[j] = r[j+1] + w[j+1];   // initialize for level 1 start   int i = 1;          // level of E-node   bbnode *E = 0;      // current E-node   T Ew = 0;           // weight of E-node   // search subset space tree   while (i != n+1) {// while not at leaf      // check children of E-node      if (Ew + w[i] <= c) {// feasible left child         AddLiveNode(H, E, Ew+w[i]+r[i], true, i+1);}      // right child      AddLiveNode(H, E, Ew+r[i], false, i+1);      // get next E-node      HeapNode<T> N;      H.DeleteMax(N); // cannot be empty      i = N.level;      E = N.ptr;      Ew = N.uweight - r[i-1];      }   // construct bestx[] by following path   // from E-node E to the root   for (int j = n; j > 0; j--) {      bestx[j] = E->LChild;  // bool to int      E = E->parent;      }   return Ew;}void main(void){   int w[6] = {0, 2, 2, 6, 5, 5};   int x[6];   int n = 5;   int c = 16;   cout << "Max loading is " << MaxLoading(w,c,n,x) << endl;   cout << "Loading vector is" << endl;   for (int i = 1; i <= n; i++)      cout << x[i] << ' ';   cout << endl;}

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