PHP实现图的邻接矩阵及普里姆(prim算法),弗洛伊德(floyd),迪杰斯特拉(dijkstra)算法

<?php
    require 'mGraph.php';
    $a = array('a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i');
    $b = array('ab'=>'10', 'af'=>'11', 'bg'=>'16', 'fg'=>'17', 'bc'=>'18', 'bi'=>'12', 'ci'=>'8', 'cd'=>'22', 'di'=>'21', 'dg'=>'24', 'gh'=>'19', 'dh'=>'16', 'de'=>'20', 'eh'=>'7','fe'=>'26');//键为边,值权值
     
    $test = new MGraph($a, $b);
    print_r($test->prim());
?>



mGraph.php
<?php
    /**
     * PHP 实现图邻接矩阵
     *
     * @author zhaojiangwei 
     * @since 2011/10/31 17:23
     */

    class MGraph{
        private $vexs; //顶点数组
        private $arc; //边邻接矩阵,即二维数组       
        private $arcData; //边的数组信息
        private $direct; //图的类型(无向或有向)
        private $hasList; //尝试遍历时存储遍历过的结点
        private $queue; //广度优先遍历时存储孩子结点的队列,用数组模仿
        private $infinity = 65535;//代表无穷,即两点无连接,建带权值的图时用,本示例不带权值 
        private $primVexs; //prim算法时保存顶点
        private $primArc; //prim算法时保存边
        private $krus;//kruscal算法时保存边的信息 
        
        public function MGraph($vexs, $arc, $direct = 0){
            $this->vexs = $vexs;
            $this->arcData = $arc;
            $this->direct = $direct;
            $this->initalizeArc();
            $this->createArc(); 
        }

        private function initalizeArc(){
            foreach($this->vexs as $value){
                foreach($this->vexs as $cValue){
                    $this->arc[$value][$cValue] = ($value == $cValue ? 0 : $this->infinity);
                }
            }
        }

        //创建图 $direct:0表示无向图,1表示有向图
        private function createArc(){
            foreach($this->arcData as $key=>$value){
                $strArr = str_split($key);
                $first = $strArr[0];
                $last = $strArr[1];
                 
                $this->arc[$first][$last] = $value;
                if(!$this->direct){
                    $this->arc[$last][$first] = $value; 
                }
            }
        }

        //floyd算法
        public function floyd(){
            $path = array();//路径数组
            $distance = array();//距离数组

            foreach($this->arc as $key=>$value){
                foreach($value as $k=>$v){
                    $path[$key][$k] = $k;
                    $distance[$key][$k] = $v;
                }
            }

            for($j = 0; $j < count($this->vexs); $j ++){
                for($i = 0; $i < count($this->vexs); $i ++){
                    for($k = 0; $k < count($this->vexs); $k ++){
                        if($distance[$this->vexs[$i]][$this->vexs[$k]] > $distance[$this->vexs[$i]][$this->vexs[$j]] + $distance[$this->vexs[$j]][$this->vexs[$k]]){
                            $path[$this->vexs[$i]][$this->vexs[$k]] = $path[$this->vexs[$i]][$this->vexs[$j]];
                            $distance[$this->vexs[$i]][$this->vexs[$k]] = $distance[$this->vexs[$i]][$this->vexs[$j]] + $distance[$this->vexs[$j]][$this->vexs[$k]];
                        }
                    }
                }
            }

            return array($path, $distance);
        }

        //djikstra算法
        public function dijkstra(){
            $final = array();
            $pre = array();//要查找的结点的前一个结点数组
            $weight = array();//权值和数组
            foreach($this->arc[$this->vexs[0]] as $k=>$v){
                $final[$k] = 0;
                $pre[$k] = $this->vexs[0];
                $weight[$k] = $v;
            }

            $final[$this->vexs[0]] = 1;
            
            for($i = 0; $i < count($this->vexs); $i ++){
                $key = 0;
                $min = $this->infinity;

                for($j = 1; $j < count($this->vexs); $j ++){
                    $temp = $this->vexs[$j];
                    if($final[$temp] != 1 && $weight[$temp] < $min){
                        $key = $temp;
                        $min = $weight[$temp]; 
                    }
                }

                $final[$key] = 1;
            
                for($j = 0; $j < count($this->vexs); $j ++){
                    $temp = $this->vexs[$j];
                    if($final[$temp] != 1 && ($min + $this->arc[$key][$temp]) < $weight[$temp]){
                        $pre[$temp] = $key;
                        $weight[$temp] = $min + $this->arc[$key][$temp];
                    }
                }
            }

            return $pre;
        }

        //kruscal算法
        private function kruscal(){
            $this->krus = array();
            
            foreach($this->vexs as $value){
                $krus[$value] = 0;   
            }

            foreach($this->arc as $key=>$value){
                $begin = $this->findRoot($key);

                foreach($value as $k=>$v){
                    $end = $this->findRoot($k);
                    if($begin != $end){
                        $this->krus[$begin] = $end; 
                    }
                }
            } 
        }

        //查找子树的尾结点
        private function findRoot($node){
            while($this->krus[$node] > 0){
                $node = $this->krus[$node];
            }
        
            return $node;
        }



        //prim算法,生成最小生成树
        public function prim(){
            $this->primVexs = array();
            $this->primArc = array($this->vexs[0]=>0);
            
            for($i = 1; $i < count($this->vexs); $i ++){
                $this->primArc[$this->vexs[$i]] = $this->arc[$this->vexs[0]][$this->vexs[$i]];
                $this->primVexs[$this->vexs[$i]] = $this->vexs[0];
            }

            for($i = 0; $i < count($this->vexs); $i ++){
                $min = $this->infinity;
                $key;

                foreach($this->vexs as $k=>$v){
                    if($this->primArc[$v] != 0 && $this->primArc[$v] < $min){
                        $key = $v;
                        $min = $this->primArc[$v];
                    }
                }

                $this->primArc[$key] = 0;

                foreach($this->arc[$key] as $k=>$v){
                    if($this->primArc[$k] != 0 && $v < $this->primArc[$k]){
                        $this->primArc[$k] = $v;  
                        $this->primVexs[$k] = $key; 
                    }
                }
            }

            return $this->primVexs;
        }

        //一般算法,生成最小生成树
        public function bst(){
            $this->primVexs = array($this->vexs[0]);
            $this->primArc = array();

            next($this->arc[key($this->arc)]); 
            $key = NULL;
            $current = NULL;

            while(count($this->primVexs) < count($this->vexs)){
                foreach($this->primVexs as $value){
                    foreach($this->arc[$value] as $k=>$v){
                        if(!in_array($k, $this->primVexs) && $v != 0 && $v != $this->infinity){
                            if($key == NULL || $v < current($current)){
                                $key = $k;
                                $current = array($value . $k=>$v);
                            }
                        }

                    }
                }

                $this->primVexs[] = $key;
                $this->primArc[key($current)] = current($current);
                $key = NULL;
                $current = NULL;
            }

            return array('vexs'=>$this->primVexs, 'arc'=>$this->primArc);
        }

        //一般遍历
        public function reserve(){
            $this->hasList = array();

            foreach($this->arc as $key=>$value){
                if(!in_array($key, $this->hasList)){
                    $this->hasList[] = $key;
                }

                foreach($value as $k=>$v){
                    if($v == 1 && !in_array($k, $this->hasList)){
                        $this->hasList[] = $k;   
                    }
                }
            }

            foreach($this->vexs as $v){
                if(!in_array($v, $this->hasList))
                    $this->hasList[] = $v;
            }

            return implode($this->hasList);
        }

        //广度优先遍历
        public function bfs(){
            $this->hasList = array();
            $this->queue = array();
            
            foreach($this->arc as $key=>$value){
                if(!in_array($key, $this->hasList)){
                    $this->hasList[] = $key;
                    $this->queue[] = $value;

                    while(!empty($this->queue)){
                        $child = array_shift($this->queue);
                        
                        foreach($child as $k=>$v){
                            if($v == 1 && !in_array($k, $this->hasList)){
                                $this->hasList[] = $k;
                                $this->queue[] = $this->arc[$k];   
                            }
                        }
                    }
                }
            }

            return implode($this->hasList);
             
        }

        //执行深度优先遍历
        public function excuteDfs($key){
            $this->hasList[] = $key;  

            foreach($this->arc[$key] as $k=>$v){
                if($v == 1 && !in_array($k, $this->hasList))
                    $this->excuteDfs($k);   
            }
        }

        //深度优先遍历
        public function dfs(){
            $this->hasList = array();

            foreach($this->vexs as $key){
                if(!in_array($key, $this->hasList)) 
                    $this->excuteDfs($key); 
            }

            return implode($this->hasList);
        }

        //返回图的二维数组表示
        public function getArc(){
            return $this->arc;
        }

        //返回结点个数
        public function getVexCount(){
            return count($this->vexs);
        }
    }

?>

你可能感兴趣的:(数据结构,算法,prim(普里姆算法),dijkstra(迪杰斯特拉),floyd(弗洛伊德))