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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On this page
  • 1. Hashmap
  • 2. Two pointer
  • 3. Binary search
  • 二刷:
  • Two pointer 没记住!
  • Binary Search

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  1. LeetCode

Two Sum II - Input array is sorted

Given an array of integers that is already sorted in ascending order, find two numbers such that they add up to a specific target number.

The function twoSum should return indices of the two numbers such that they add up to the target, where index1 must be less than index2. Please note that your returned answers (both index1 and index2) are not zero-based.

You may assume that each input would haveexactlyone solution and you may not use thesameelement twice.

Input:numbers={2, 7, 11, 15}, target=9 Output:index1=1, index2=2

注意题目说了两个重要条件:1,有序数组;2,有唯一解。所以解的两个数一定都是数组中唯一存在的数

注意:返回的index要加一,题目要求index从1开始。

1. Hashmap

时间复杂度O(n),空间复杂度O(n)。

class Solution(object):
    def twoSum(self, numbers, target):
        """
        :type numbers: List[int]
        :type target: int
        :rtype: List[int]
        """
        hashmap = {}
        for i in xrange(len(numbers)):
            hashmap[numbers[i]] = i
        for i in xrange(len(numbers)):
            new =target - numbers[i]
            if new in hashmap:
                return i+1, hashmap[new]+1

2. Two pointer

初始化的时候第一个指针left在下标为0的位置,第二个指针right在下标为n - 1的位置。通过比较计算的和与target,移动指针,缩小查找范围。

比如,一开始的时候,left = 0, right = n - 1,计算此时的和 sum = nums[left] + nums[right]。

如果此时的和 > target,说明右边太大了,right – 。 如果 和 < target, 说明左边太小了,left ++。 如果刚好等于,返回此时的left, right。

时间复杂度为O(n), 空间复杂度为O(1)。

class Solution(object):
    def twoSum(self, numbers, target):
        """
        :type numbers: List[int]
        :type target: int
        :rtype: List[int]
        """
        left = 0
        right = len(numbers)-1
        while left < right:
            if numbers[left] + numbers[right] == target:
                return left+1,right+1
                break
            elif numbers[left] + numbers[right] < target:
                left += 1
            else:
                right -= 1

3. Binary search

因为考虑到这是一个有序的数组,所以很自然地想往二分搜索上靠。

先固定第一个数,假设为nums[0], 那么在下表为1 .. n - 1上进行二分搜索,查找有没有值为target - nums[0]。

固定第一个数为nums[1], 在 2 .. n - 1上二分查找。

时间复杂度为O(nlogn), 空间复杂度为O(1)。

二刷:

Two pointer 没记住!

Binary Search

class Solution(object):
    def twoSum(self, numbers, target):
        """
        :type numbers: List[int]
        :type target: int
        :rtype: List[int]
        """
        for i in xrange(len(numbers)):
            start,end = i+1,len(numbers)-1
            value = target - numbers[i]
            while start+1 < end:
                mid = (start+end)/2
                if numbers[mid] < value:
                    start = mid
                else:
                    end = mid
            if numbers[start] == value:
                return i+1, start+1
            elif numbers[end] == value:
                return i+1, end+1
            else:
                continue
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