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| 1 | +package com.crossoverjie.algorithm; |
| 2 | + |
| 3 | +/** |
| 4 | + * 链表排序, 建议使用归并排序 |
| 5 | + * |
| 6 | + * @author 6563699600@qq.com |
| 7 | + * @date 6/7/2018 11:42 PM |
| 8 | + * @since 1.0 |
| 9 | + */ |
| 10 | +public class LinkedListMergeSort { |
| 11 | + |
| 12 | + final static class Node { |
| 13 | + int e; |
| 14 | + Node next; |
| 15 | + |
| 16 | + public Node() { |
| 17 | + } |
| 18 | + |
| 19 | + public Node(int e, Node next) { |
| 20 | + this.e = e; |
| 21 | + this.next = next; |
| 22 | + } |
| 23 | + } |
| 24 | + |
| 25 | + public Node mergeSort(Node first, int length) { |
| 26 | + |
| 27 | + if (length == 1) { |
| 28 | + return first; |
| 29 | + } else { |
| 30 | + Node middle = new Node(); |
| 31 | + Node tmp = first; |
| 32 | + |
| 33 | + /** |
| 34 | + * 后期会对这里进行优化,通过一次遍历算出长度和中间元素 |
| 35 | + */ |
| 36 | + for (int i = 0; i < length; i++) { |
| 37 | + if (i == length / 2) { |
| 38 | + break; |
| 39 | + } |
| 40 | + middle = tmp; |
| 41 | + tmp = tmp.next; |
| 42 | + } |
| 43 | + |
| 44 | + /** |
| 45 | + * 这里是链表归并时要注意的细节 |
| 46 | + */ |
| 47 | + Node right = middle.next; |
| 48 | + middle.next = null; |
| 49 | + |
| 50 | + Node leftStart = mergeSort(first, length / 2); |
| 51 | + Node rightStart; |
| 52 | + if (length % 2 == 0) { |
| 53 | + rightStart = mergeSort(right, length / 2); |
| 54 | + } else { |
| 55 | + rightStart = mergeSort(right, length / 2 + 1); |
| 56 | + } |
| 57 | + return mergeList(leftStart, rightStart); |
| 58 | + } |
| 59 | + } |
| 60 | + |
| 61 | + public Node mergeList(Node left, Node right) { |
| 62 | + |
| 63 | + Node head = new Node(); |
| 64 | + Node result = head; |
| 65 | + |
| 66 | + /** |
| 67 | + * 思想就是两个链表同时遍历,将更的元素插入结果中,同时更更大的元素所属的链表的指针向下移动 |
| 68 | + */ |
| 69 | + while (!(null == left && null == right)) { |
| 70 | + Node tmp; |
| 71 | + if (left == null) { |
| 72 | + result.next = right; |
| 73 | + break; |
| 74 | + } else if (right == null) { |
| 75 | + result.next = left; |
| 76 | + break; |
| 77 | + } else if (left.e >= right.e) { |
| 78 | + tmp = left; |
| 79 | + result.next = left; |
| 80 | + result = tmp; |
| 81 | + left = left.next; |
| 82 | + } else { |
| 83 | + tmp = right; |
| 84 | + result.next = right; |
| 85 | + result = tmp; |
| 86 | + right = right.next; |
| 87 | + } |
| 88 | + } |
| 89 | + |
| 90 | + return head.next; |
| 91 | + } |
| 92 | + |
| 93 | + public static void main(String[] args) { |
| 94 | + |
| 95 | + Node head = new Node(); |
| 96 | + |
| 97 | + head.next = new Node(7, |
| 98 | + new Node(2, |
| 99 | + new Node(5, |
| 100 | + new Node(4, |
| 101 | + new Node(3, |
| 102 | + new Node(6, |
| 103 | + new Node(11, null) |
| 104 | + ) |
| 105 | + ) |
| 106 | + ) |
| 107 | + ) |
| 108 | + ) |
| 109 | + ); |
| 110 | + |
| 111 | + int length = 0; |
| 112 | + |
| 113 | + for (Node e = head.next; null != e; e = e.next) { |
| 114 | + length++; |
| 115 | + } |
| 116 | + |
| 117 | + |
| 118 | + LinkedListMergeSort sort = new LinkedListMergeSort(); |
| 119 | + head.next = sort.mergeSort(head.next, length); |
| 120 | + |
| 121 | + |
| 122 | + for (Node n = head.next; n != null; n = n.next) { |
| 123 | + System.out.println(n.e); |
| 124 | + } |
| 125 | + |
| 126 | + } |
| 127 | +} |
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