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Java数据结构——带权图
带权图的最小生成树——Prim算法和Kruskal算法
带权图的最短路径算法——Dijkstra算法
package graph;// path.java// demonstrates shortest path with weighted, directed graphs 带权图的最短路径算法// to run this program: C>java PathApp////////////////////////////////////////////////////////////////class DistPar // distance and parent { // items stored in sPath array public int distance; // distance from start to this vertex public int parentVert; // current parent of this vertex// ------------------------------------------------------------- public DistPar(int pv, int d) // constructor { distance = d; parentVert = pv; }// ------------------------------------------------------------- } // end class DistPar///////////////////////////////////////////////////////////////class Vertex { public char label; // label (e.g. ‘A‘) public boolean isInTree;// ------------------------------------------------------------- public Vertex(char lab) // constructor { label = lab; isInTree = false; }// ------------------------------------------------------------- } // end class Vertex////////////////////////////////////////////////////////////////class Graph { private final int MAX_VERTS = 20; private final int INFINITY = 1000000; private Vertex vertexList[]; // list of vertices private int adjMat[][]; // adjacency matrix private int nVerts; // current number of vertices private int nTree; // number of verts in tree private DistPar sPath[]; // array for shortest-path data private int currentVert; // current vertex private int startToCurrent; // distance to currentVert// ------------------------------------------------------------- public Graph() // constructor { vertexList = new Vertex[MAX_VERTS]; // adjacency matrix adjMat = new int[MAX_VERTS][MAX_VERTS]; nVerts = 0; nTree = 0; for(int j=0; j<MAX_VERTS; j++) // set adjacency for(int k=0; k<MAX_VERTS; k++) // matrix adjMat[j][k] = INFINITY; // to infinity sPath = new DistPar[MAX_VERTS]; // shortest paths } // end constructor// ------------------------------------------------------------- public void addVertex(char lab) { vertexList[nVerts++] = new Vertex(lab); }// ------------------------------------------------------------- public void addEdge(int start, int end, int weight) { adjMat[start][end] = weight; // (directed) }// ------------------------------------------------------------- public void path() // find all shortest paths { int startTree = 0; // start at vertex 0 vertexList[startTree].isInTree = true; nTree = 1; // put it in tree // transfer row of distances from adjMat to sPath for(int j=0; j<nVerts; j++) { int tempDist = adjMat[startTree][j]; sPath[j] = new DistPar(startTree, tempDist); } // until all vertices are in the tree while(nTree < nVerts) { int indexMin = getMin(); // get minimum from sPath int minDist = sPath[indexMin].distance; if(minDist == INFINITY) // if all infinite { // or in tree, System.out.println("There are unreachable vertices"); break; // sPath is complete } else { // reset currentVert currentVert = indexMin; // to closest vert startToCurrent = sPath[indexMin].distance; // minimum distance from startTree is // to currentVert, and is startToCurrent } // put current vertex in tree vertexList[currentVert].isInTree = true; nTree++; adjust_sPath(); // update sPath[] array } // end while(nTree<nVerts) displayPaths(); // display sPath[] contents nTree = 0; // clear tree for(int j=0; j<nVerts; j++) vertexList[j].isInTree = false; } // end path()// ------------------------------------------------------------- public int getMin() // get entry from sPath { // with minimum distance int minDist = INFINITY; // assume minimum int indexMin = 0; for(int j=1; j<nVerts; j++) // for each vertex, { // if it‘s in tree and if( !vertexList[j].isInTree && // smaller than old one sPath[j].distance < minDist ) { minDist = sPath[j].distance; indexMin = j; // update minimum } } // end for return indexMin; // return index of minimum } // end getMin()// ------------------------------------------------------------- public void adjust_sPath() { // adjust values in shortest-path array sPath int column = 1; // skip starting vertex while(column < nVerts) // go across columns { // if this column‘s vertex already in tree, skip it if( vertexList[column].isInTree ) { column++; continue; } // calculate distance for one sPath entry // get edge from currentVert to column int currentToFringe = adjMat[currentVert][column]; // add distance from start int startToFringe = startToCurrent + currentToFringe; // get distance of current sPath entry int sPathDist = sPath[column].distance; // compare distance from start with sPath entry if(startToFringe < sPathDist) // if shorter, { // update sPath sPath[column].parentVert = currentVert; sPath[column].distance = startToFringe; } column++; } // end while(column < nVerts) } // end adjust_sPath()// ------------------------------------------------------------- public void displayPaths() { for(int j=0; j<nVerts; j++) // display contents of sPath[] { System.out.print(vertexList[j].label + "="); // B= if(sPath[j].distance == INFINITY) System.out.print("inf"); // inf else System.out.print(sPath[j].distance); // 50 char parent = vertexList[ sPath[j].parentVert ].label; System.out.print("(" + parent + ") "); // (A) } System.out.println(""); }// ------------------------------------------------------------- } // end class Graph////////////////////////////////////////////////////////////////class path { public static void main(String[] args) { Graph theGraph = new Graph(); theGraph.addVertex(‘A‘); // 0 (start) theGraph.addVertex(‘B‘); // 1 theGraph.addVertex(‘C‘); // 2 theGraph.addVertex(‘D‘); // 3 theGraph.addVertex(‘E‘); // 4 theGraph.addEdge(0, 1, 50); // AB 50 theGraph.addEdge(0, 3, 80); // AD 80 theGraph.addEdge(1, 2, 60); // BC 60 theGraph.addEdge(1, 3, 90); // BD 90 theGraph.addEdge(2, 4, 40); // CE 40 theGraph.addEdge(3, 2, 20); // DC 20 theGraph.addEdge(3, 4, 70); // DE 70 theGraph.addEdge(4, 1, 50); // EB 50 System.out.println("Shortest paths"); theGraph.path(); // shortest paths System.out.println(); } // end main() } // end class PathApp////////////////////////////////////////////////////////////////
Java数据结构——带权图
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