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数据结构常见算法代码实现1-PHP

时间:2018-01-07 16:03:00      阅读:165      评论:0      收藏:0      [点我收藏+]

标签:链式队列   ted   top   enqueue   floor   ges   --   quick   定义   

(1)常用排序算法

Class MySort {

    /*
     * 所有排序均按升序排序
     * */

    /**
     * 插入排序
     * @param $arr
     * @param $st
     * @param $ed
     * 通过将元素插入到已排序的序列中不断扩大已排序的序列
     */
    public function InsertSort(&$arr, $st, $ed) {
        for ($i = $st + 1; $i <= $ed; $i++) {
            $tmp = $arr[$i];
            for ($j = $i - 1; $j >= $st; $j--) {
                if ($arr[$j] > $tmp) { // 如果元素比tmp大,就移动元素
                    $arr[$j + 1] = $arr[$j];
                } else {
                    break;
                }

            }
            $arr[$j + 1] = $tmp;
        }
    }


    /**
     * 冒泡排序
     * @param $arr
     * @param $st
     * @param $ed
     * 通过不断交换相邻元素将更大的元素放在后边,一趟交换之后就能把最大的元素放到最后边,二趟排序可以把次大的元素放在
     * 倒数第二的位置,n趟排序就可以把所有元素都放在正确的位置
     */
    public function BubbleSort(&$arr, $st, $ed) {
        for ($i = $ed - 1; $i >= $st; $i--) {
            $flag = false;
            for ($j = $st; $j <= $i; $j++) {
                if ($arr[$j] > $arr[$j + 1]) {
                    $tmp = $arr[$j];
                    $arr[$j] = $arr[$j + 1];
                    $arr[$j + 1] = $tmp;
                    $flag = true;
                }
            }
            if (!$flag) { // 优化:如果不发生交换,说明已排好序,退出即可
                return;
            }
        }
    }

    /**
     * 选择排序
     * @param $arr
     * @param $st
     * @param $ed
     * 每次选择当前未排序序列最小的元素放在合适的位置,已选择的最小元素构成了已排序序列,不断扩大已排序序列即可实现总体排序
     */
    public function SelectSort(&$arr, $st, $ed) {
        for ($i = $st; $i <= $ed; $i++) {
            $min = $i;
            for ($j = $i; $j <= $ed; $j++) {
                if ($arr[$min] > $arr[$j]) {
                    $min = $j;
                }
            }
            if ($min != $i) {
                $tmp = $arr[$min];
                $arr[$min] = $arr[$i];
                $arr[$i] = $tmp;
            }
        }
    }

    /**
     * 归并排序
     * @param $arr
     * @param $st
     * @param $ed
     * 归并排序的关键在于不断合并两个排好序的序列,可以通过递归实现
     */
    public function MergeSort(&$arr, $st, $ed) {
        if ($st < $ed) {
            $mid = floor(($st + $ed) / 2); // php数值默认使用float型计算,与Java和C不同,所以此处需要向下取整
            $this->MergeSort($arr, $st, $mid);
            $this->MergeSort($arr, $mid + 1, $ed);
            $this->merge($arr, $st, $mid, $ed);
        }
    }

    /**
     * 归并数组arr a1-a2 b1-b2部分
     * @param $arr
     * @param $a1
     * @param $a2
     * @param $b1
     * @param $b2
     */
    private function merge(&$arr, $st, $mid, $ed) {

        $tmp_arr = array();
        $a = $st;
        $b = $mid + 1;
        while ($a <= $mid && $b <= $ed) {
            if ($arr[$a] < $arr[$b]) {
                $tmp_arr[] = $arr[$a];
                $a++;
            }
            else {
                $tmp_arr[] = $arr[$b];
                $b++;
            }
        }
        while ($a <= $mid) {
            $tmp_arr[] = $arr[$a];
            $a++;
        }
        while ($b <= $ed) {
            $tmp_arr[] = $arr[$b];
            $b++;
        }
        for ($i = $st; $i <= $ed; $i++) {
            $arr[$i] = $tmp_arr[$i - $st];
        }
        echo json_encode(func_get_args()) . "***********" . json_encode($tmp_arr) . "\n";
    }

    /**
     * 快速排序
     * @param $arr
     * @param $st
     * @param $ed
     */
    public function QuickSort(&$arr, $st, $ed) {
        if ($st < $ed) {
            $mid = $this->partition($arr, $st, $ed);
            $this->QuickSort($arr, $st, $mid - 1);
            $this->QuickSort($arr, $mid + 1, $ed);
        }
    }

    /**
     * 对数组arr $sd-$ed部分使用轴元素进行划分
     * @param $arr
     * @param $st
     * @param $ed
     * @return mixed
     */
    private function partition(&$arr, $st, $ed) {
        $pivot = $arr[$st];
        while ($st < $ed) {
            while ($st < $ed && $arr[$ed] > $pivot)
                $ed--;
            $arr[$st] = $arr[$ed];
            while ($st < $ed && $arr[$st] <= $pivot)
                $st++;
            $arr[$ed] = $arr[$st];
        }
        $arr[$st] = $pivot;
        return $st;
    }


}

$sort_obj = new MySort();
$arr = [2,9,6,4,0,3,1];
$sort_obj->MergeSort($arr, 0, 6);
var_dump($arr);

(2)二分查找

Class MyFind {

    /**
     * 二分查找
     * @param $arr
     * @param $key
     * PS: 必须保证输入的数组arr是升序排列的!
     */
    public function binarySearch($arr, $key) {
        $st = 0;
        $ed = count($arr) - 1;
        while ($st <= $ed) {
            $mid = floor(($st + $ed) / 2);
            if ($key == $arr[$mid]) {
                return $mid;
            }
            elseif ($key < $arr[$mid]) {
                $ed = $mid - 1;
            }
            else {
                $st = $mid + 1;
            }
        }
        return -1;
    }

    /**
     * 使用递归实现二分查找
     * @param $arr
     * @param $key
     */
    public function binarySearchWithRecursion($arr, $key) {
        return $this->recursion($arr, $key, 0, count($arr) - 1);
    }

    private function recursion($arr, $key, $st, $ed) {
        if ($st > $ed) {
            return -1;
        }
        $mid = floor(($st + $ed) / 2);
        if ($key == $arr[$mid]) {
            return $mid;
        }
        elseif ($key < $arr[$mid]) {
            return $this->recursion($arr, $key, $st, $mid - 1);
        }
        else {
            return $this->recursion($arr, $key, $mid + 1, $ed);
        }
    }

    /**
     * 二叉搜索树查找
     * @param $root
     * @param $key
     * 二叉树结点定义:
     * class ListNode {
     *  public $left;
     *  public $right;
     *  public $value;
     * }
     */
    public function binaryTreeSearch($root, $key) {
        while ($root != null) {
            if ($key == $root->value) {
                return $root;
            }
            elseif ($key < $root->value) {
                $root = $root->left;
            }
            else {
                $root = $root->right;
            }
        }
        return null;
    }

    /**
     * 二分查找不小于$key的最小数(很多算法会用到,比如一致性哈希算法)
     * @param $arr
     * @param $key
     * 进行二分查找时,最后查找的位置总是最接近key的位置,如果key不存在,则最后查找的位置一定是小于key的最大数或者大于key的最小数
     */
    public function binarySearchMinSupper($arr, $key) {
        $st = 0;
        $ed = count($arr) - 1;
        while ($st <= $ed) {
            $mid = floor(($st + $ed) / 2);
            if ($key == $arr[$mid]) {
                return $arr[$mid];
            }
            elseif ($key < $arr[$mid]) {
                $ed = $mid - 1;
            }
            else {
                $st = $mid + 1;
            }
        }
        return $key > $arr[$mid] ? $arr[$mid + 1] : $arr[$mid]; // 此处数组可能越界
    }
}

$find_obj = new MyFind();
$arr = [0,1,2,3,4,6,9];
$a = $find_obj->binarySearchMinSupper($arr, 2.1);
var_dump($a);

 (3)栈与队列(顺序栈、链式栈、顺序队列、链式队列)

abstract Class MyStack {
    protected $capacity = -1;
    public function __construct($capacity = null) {
        if (isset($capacity)) {
            $this->capacity = $capacity;
        }
    }
    abstract public function push($val);
    abstract public function top();
    abstract public function pop();
    abstract public function isEmpty();
    abstract public function isFull();
}
Class MyArrayStack extends MyStack { //顺序栈
    protected $arr = array();
    public function push($val) {
        if ($this->isFull()) {
            return false;
        }
        $this->arr[] = $val;
        return true;
    }
    public function top() {
        return !$this->isEmpty() ? end($this->arr) : null;
    }
    public function pop() {
        return !$this->isEmpty() ? array_pop($this->arr) : null;
    }
    public function isEmpty() {
        return count($this->arr) == 0;
    }
    public function isFull() {
        if ($this->capacity == -1) {
            return false;
        }
        return count($this->arr) == $this->capacity;
    }
}
Class MyLinkedStackNode {
    public $val;
    public $next;
}
Class MyLinkedStack { //链式栈
    protected $pointer = null;
    protected $count = 0;
    public function push($val) {
        if ($this->isFull()) {
            return false;
        }
        $node = new MyLinkedStackNode();
        $node->val = $val;
        $node->next = $this->pointer;
        $this->pointer = $node;
        $this->count++;
        return true;
    }
    public function top() {
        return !$this->isEmpty() ? $this->pointer->val : null;
    }
    public function pop() {
        if ($this->isEmpty()) {
            return null;
        }
        $val = $this->pointer->val;
        $this->pointer = $this->pointer->next;
        $this->count--;
        return $val;
    }
    public function isEmpty() {
        return $this->count == 0;
    }
    public function isFull() {
        if ($this->capacity == -1) {
            return false;
        }
        return $this->count == $this->capacity;
    }
}
abstract Class MyQueue {
    protected $capacity = -1;
    public function __construct($capacity = null) {
        if (isset($capacity)) {
            $this->capacity = $capacity;
        }
    }
    abstract public function enqueue($val);
    abstract public function front();
    abstract public function dequeue();
    abstract public function isEmpty();
    abstract public function isFull();
}
Class MyArrayQueue extends MyQueue {
    protected $arr = array();
    public function enqueue($val)
    {
        if ($this->isFull()) {
            return false;
        }
        $this->arr[] = $val;
        return true;
    }
    public function front()
    {
        return !$this->isEmpty() ? $this->arr[0] : null;
    }
    public function dequeue()
    {
        return !$this->isEmpty() ? array_shift($this->arr) : null;
    }
    public function isEmpty()
    {
        return count($this->arr) == 0;
    }
    public function isFull()
    {
        return count($this->arr) == $this->capacity;
    }
}
Class MyLinkedQueueNode {
    public $val;
    public $next;
}
Class MyLinkedQueue extends MyQueue {
    protected $head = null, $tail = null;
    protected $count = 0;
    public function enqueue($val)
    {
        if ($this->isFull()) {
            return false;
        }
        $node = new MyLinkedQueueNode();
        $node->val = $val;
        if ($this->head == null) { //如果队列为空,效果等同于$this->isEmpty()
            $this->head = $this->tail = $node;
        } else {
            $this->tail->next = $node;
            $this->tail = $this->tail->next;
        }
        return true;
    }
    public function front()
    {
        return !$this->isEmpty() ? $this->head->val : null;
    }
    public function dequeue()
    {
        if ($this->isEmpty()) {
            return null;
        }
        $val = $this->head->val;
        if ($this->head == $this->tail) { //如果只有一个元素
            $this->head = $this->tail = null;
        }
        else {
            $this->head = $this->head->next;
        }
        $this->count--;
        return $val;
    }
    public function isEmpty()
    {
        return $this->count == 0;
    }
    public function isFull()
    {
        return $this->count == $this->capacity;
    }
}

 

数据结构常见算法代码实现1-PHP

标签:链式队列   ted   top   enqueue   floor   ges   --   quick   定义   

原文地址:https://www.cnblogs.com/livepeace/p/8227546.html

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