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/**
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* File: space_complexity.java
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* Created Time: 2022-11-25
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* Author: Krahets (krahets@163.com)
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*/
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package chapter_computational_complexity;
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import include.*;
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import java.util.*;
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public class space_complexity {
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/* 函数 */
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static int function() {
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// do something
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return 0;
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}
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/* 常数阶 */
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static void constant(int n) {
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// 常量、变量、对象占用 O(1) 空间
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final int a = 0;
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int b = 0;
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int[] nums = new int[10000];
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ListNode node = new ListNode(0);
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// 循环中的变量占用 O(1) 空间
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for (int i = 0; i < n; i++) {
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int c = 0;
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}
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// 循环中的函数占用 O(1) 空间
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for (int i = 0; i < n; i++) {
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function();
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}
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}
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/* 线性阶 */
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static void linear(int n) {
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// 长度为 n 的数组占用 O(n) 空间
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int[] nums = new int[n];
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// 长度为 n 的列表占用 O(n) 空间
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List<ListNode> nodes = new ArrayList<>();
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for (int i = 0; i < n; i++) {
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nodes.add(new ListNode(i));
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}
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// 长度为 n 的哈希表占用 O(n) 空间
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Map<Integer, String> map = new HashMap<>();
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for (int i = 0; i < n; i++) {
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map.put(i, String.valueOf(i));
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}
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}
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/* 线性阶(递归实现) */
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static void linearRecur(int n) {
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System.out.println("递归 n = " + n);
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if (n == 1)
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return;
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linearRecur(n - 1);
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}
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/* 平方阶 */
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static void quadratic(int n) {
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// 矩阵占用 O(n^2) 空间
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int[][] numMatrix = new int[n][n];
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// 二维列表占用 O(n^2) 空间
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List<List<Integer>> numList = new ArrayList<>();
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for (int i = 0; i < n; i++) {
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List<Integer> tmp = new ArrayList<>();
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for (int j = 0; j < n; j++) {
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tmp.add(0);
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}
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numList.add(tmp);
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}
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}
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/* 平方阶(递归实现) */
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static int quadraticRecur(int n) {
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if (n <= 0)
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return 0;
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// 数组 nums 长度为 n, n-1, ..., 2, 1
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int[] nums = new int[n];
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System.out.println("递归 n = " + n + " 中的 nums 长度 = " + nums.length);
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return quadraticRecur(n - 1);
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}
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/* 指数阶(建立满二叉树) */
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static TreeNode buildTree(int n) {
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if (n == 0)
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return null;
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TreeNode root = new TreeNode(0);
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root.left = buildTree(n - 1);
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root.right = buildTree(n - 1);
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return root;
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}
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/* Driver Code */
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public static void main(String[] args) {
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int n = 5;
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// 常数阶
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constant(n);
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// 线性阶
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linear(n);
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linearRecur(n);
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// 平方阶
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quadratic(n);
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quadraticRecur(n);
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// 指数阶
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TreeNode root = buildTree(n);
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PrintUtil.printTree(root);
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}
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}
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