LeetCode_CC150
  • Introduction
  • LeetCode
    • Single Number
    • Contains Duplicate
    • Happy Number
    • Valid Anagram
    • Contains Duplicate II
    • Count Primes
    • Isomorphic Strings
    • Word Pattern
    • Island Perimeter
    • Find the Difference
    • Palindrome Permutation
    • Two Sum III - Data structure design
    • Number of Boomerangs
    • Longest Palindrome
    • Logger Rate Limiter
    • Find All Anagrams in a String
    • Keyboard Row
    • Distribute Candies
    • Shortest Word Distance
    • Majority Element
    • Plus One
    • Best Time to Buy and Sell Stock
    • Best Time to Buy and Sell Stock II
    • Pascal's Triangle
    • Remove Element
    • Rotate Array
    • Pascal's Triangle II
    • Two Sum II - Input array is sorted
    • Third Maximum Number
    • Max Consecutive Ones
    • K-diff Pairs in an Array
    • Maximum Product of Three Numbers
    • Maximum Distance in Arrays
    • Shortest Unsorted Continuous Subarray
    • Roman to Integer
    • Count and Say
    • Valid Parentheses
    • Longest Common Prefix
    • Valid Palindrome
    • Length of Last Word
    • Repeated Substring Pattern
    • Number of Segments in a String
    • Valid Word Abbreviation
    • Longest Uncommon Subsequence I
    • Student Attendance Record I
    • Reverse Words in a String III
    • Arranging Coins
    • Guess Number Higher or Lower
    • Search Insert Position
    • Min Stack
    • Diameter of Binary Tree
    • Unique Binary Search Trees
    • Unique Binary Search Trees II
    • Binary Tree Zigzag Level Order Traversal
    • Nim Game
    • Add Digits
    • Fizz Buzz
    • Climbing Stairs
    • Array Partition I
    • Power of Three
    • Power of Four
    • Power of Two
    • Ugly Number
    • Find All Numbers Disappeared in an Array
    • Find All Duplicates in an Array
    • Minimum Moves to Equal Array Elements
    • Meeting Rooms
    • Subsets
    • Subsets II
    • Count Complete Tree Nodes
    • Minimum Size Subarray Sum
    • Maximum Size Subarray Sum Equals k
    • Sparse Matrix Multiplication
    • Meeting Rooms II
    • Letter Combinations of a Phone Number
    • Binary Tree Vertical Order Traversal
    • Find the Celebrity
    • Merge Intervals
    • One Edit Distance
    • Multiply Strings
  • Array&String
    • Subarray Sum
    • Maximum Subarray
    • Intersection of Two Arrays
    • Intersection of Two Arrays II
    • Partition List
    • Merge Sorted Array
    • Two Sum
    • 3Sum
    • Product of Array Except Self
    • Rotate Image
    • Spiral Matrix
  • Linked List
    • Merge Two Sorted Lists
    • Insert into a Cyclic Sorted List
    • Sort List
    • Linked List Cycle
    • Copy List with Random Pointer
    • Add Two Numbers
    • Delete Node in a Linked List
    • Reverse Linked List
    • Odd Even Linked List
    • Intersection of Two Linked Lists
    • Palindrome Linked List
    • Insertion Sort List
    • Remove Linked List Elements
    • Remove Duplicates from Sorted List
    • Swap Nodes in Pairs
    • Remove Nth Node From End of List
  • Binary Search
    • Missing Number
    • Valid Perfect Square
    • 744. Find Smallest Letter Greater Than Target
    • Sqrt(x)
    • First Bad Version
    • Pow(x, n)
    • Find the Duplicate Number
    • Find Minimum in Rotated Sorted Array
    • Find Minimum in Rotated Sorted Array II
    • Total Occurrence of Target
    • Search in a Big Sorted Array
    • Longest Increasing Subsequence
    • Find Peak Element
    • Search in Rotated Sorted Array
    • Search a 2D Matrix
    • Search a 2D Matrix II
    • Closest Number in Sorted Array
    • Search in Rotated Sorted Array II
    • Search for a Range
    • Maximum Number in Mountain Sequence
    • Last Position of Target
    • K Closest Numbers In Sorted Array
    • Sqrt(x) II
  • Binary Tree
    • Maximum Depth of Binary Tree
    • Invert Binary Tree
    • Same Tree
    • Binary Tree Paths
    • Lowest Common Ancestor of a Binary Search Tree
    • Balanced Binary Tree
    • Convert Sorted Array to Binary Search Tree
    • Symmetric Tree
    • Path Sum
    • Minimum Depth of Binary Tree
    • Binary Tree Preorder Traversal
    • Binary Tree Inorder Traversal
    • Binary Tree Level Order Traversal
    • Binary Tree Level Order Traversal II
    • Minimum Subtree
    • Flatten Binary Tree to Linked List
    • Binary Tree Longest Consecutive Sequence
    • Subtree with Maximum Average
    • Number of Islands
    • Serialize and Deserialize Binary Tree
    • Clone Graph
  • Data Structure
    • Hash Table
    • Bubble Sort
    • Selection Sort
    • Binary Search
    • Merge Sort
    • Binary Tree
    • 递归
    • DFS BFS
    • python技巧
  • two pointers
    • Reverse Vowels of a String
    • Reverse String
    • Remove Duplicates from Sorted Array
    • LeetCode 11. Container With Most Water
    • Strobogrammatic Number
    • Move Zeroes
    • Implement strStr()
  • 哈希表
    • Ransom Note
    • Minimum Index Sum of Two Lists
    • Longest Harmonious Subsequence
    • Untitled
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  1. Linked List

Sort List

Sort a linked list inO(nlogn) time using constant space complexity.

Merge Sort

这道题要找linkedlist中点,那当然就要用最经典的faster和slower方法,faster速度是slower的两倍,当faster到链尾时,slower就是中点,slower的next是下一半的开始点

# Definition for singly-linked list.
# class ListNode(object):
#     def __init__(self, x):
#         self.val = x
#         self.next = None

class Solution(object):
    def sortList(self, head):
        """
        :type head: ListNode
        :rtype: ListNode
        """
        def merge(list1, list2):
            if not list1:
                return list2
            if not list2:
                return list1
            head = None
            if list1.val > list2.val:
                head = list2
                list2 = list2.next
            else:
                head = list1
                list1 = list1.next
            tmp = head
            while list1 and list2:
                if list1.val > list2.val:
                    tmp.next = list2
                    tmp = list2
                    list2 = list2.next
                else:
                    tmp.next = list1
                    tmp=list1
                    list1=list1.next
            tmp.next = list1 or list2
            return head
        if not head or not head.next:
            return head
        slow = head
        fast = head.next
        while fast and fast.next:
            slow = slow.next
            fast = fast.next.next
        mid = slow.next
        slow.next = None
        list1 = self.sortList(head)
        list2 = self.sortList(mid)
        sorted = merge(list1, list2)
        return sorted

关于快慢节点找中点:

如果fast = head,在节点是奇数个的时候,应当和fast = head.next的结果是一致的。但是如果节点是偶数的时候,比如说10个的时候, 如果设置fast = head.next ,那么 slow 会得到第5个节点(中间靠前),如果设置fast = head,那么slow 会得到第6的节点(中间考后)

就是当偶数个时候,我们得到的是中间靠前面那个节点,还是中间靠后面那个节点,具体需要看题目的要求,比如LintCode的题目上是要求中间靠前那个节点(也就是10个节点里第5个节点),所以fast = head.next.如果需要中间考后的节点,fast=head即可。

对于这道题,里面也运用到了找Middle的方法,这里fast是可以等于head的,也就是fast = head,和 fast = head.next 都对。因为对于排序,你找到10个节点中的第5个还是第6个,对答案没有影响。

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