Data Structure and Algorithms
  • Introduction
  • 面经
    • 亚马逊面经
  • Sorting
    • Quick Sort
    • Merge Sort
    • Heap Sort
  • Palindrome
    • Check String Palindrom
    • Palindrome Partitioning
    • Palindrome Partitioning II
    • Longest Palindromic Substring
    • Valid Palindrome
  • Linked List
    • Remove Duplicates from Sorted List
    • Remove Duplicates from Sorted List II
    • Remove Nth Node From End of List
    • Remove Linked List Elements
    • Remove Duplicates from Unsorted List
    • Remove duplicate Circular Linked list
    • Reverse Linked List
    • Reverse Linked List II
    • Reverse Nodes in k-Group
    • Partition List
    • Insertion Sort List
    • Reorder List
    • Linked List Cycle
    • Rotate List
    • Merge k Sorted Lists
    • Copy List with Random Pointer
    • Nth to Last Node in List
    • Add Two Numbers
    • Add Two Numbers II
    • Palindrome Linked List
  • Binary Search
    • Sqrt(x)
    • Search a 2D Matrix
    • Search a 2D Matrix II
    • Search Insert Position
    • First Position of Target
    • Last Position of Target
    • Count of Smaller Number
    • Search for a Range
    • Search in a Big Sorted Array
    • First Bad Version
    • Find Minimum in Rotated Sorted Array
    • Find Minimum in Rotated Sorted Array II
    • Search in Rotated Sorted Array
    • Search in Rotated Sorted Array II
    • Find Peak Element*
    • Recover Rotated Sorted Array
    • Rotate String
    • Wood Cut
    • Total Occurrence of Target
    • Closest Number in Sorted Array
    • K Closest Number in Sorted Array
    • Maximum Number in Mountain Sequence
    • Search Insert Position *
    • Pow(x, n)
    • Divide Two Integers
  • Graph
    • Clone Graph
    • Topological Sorting
    • Permutations
    • Permutations II
    • Subsets
    • Subsets II
    • Word Ladder
    • Word Ladder II
    • N-Queens
    • N-Queens II
    • Connected Component in Undirected Graph
    • Six Degrees
    • String Permutation II
    • Letter Case Permutation
  • Data Structure
    • Min Stack
    • Implement a Queue by Two Stacks
    • Largest Rectangle in Histogram
    • Max Tree
    • Rehashing
    • LRU Cache
    • Subarray Sum
    • Anagrams
    • Longest Consecutive Sequence
    • Data Stream Median
    • Heapify
    • Ugly Number
    • Ugly Number II
  • Misc
    • PlaceHolder
    • Fibonacci
  • Array and Numbers
    • Merge Sorted Array
    • Merge Two Sorted Arrays
    • Median of two Sorted Arrays
    • Best Time to Buy and Sell Stock
    • Best Time to Buy and Sell Stock II
    • Best Time to Buy and Sell Stock III
    • Maximum Subarray
    • Maximum Subarray II
    • Maximum Subarray III
    • Minimum Subarray
    • Maximum Subarray Difference
    • Subarray Sum
    • Subarray Sum Closest
    • Two Sum
    • 3Sum
    • 3Sum Closest
    • 4Sum
    • k Sum
    • k Sum II
    • Partition Array
    • Sort Letters by Case
    • Sort Colors
    • Sort Colors II
    • Interleaving Positive and Negative Numbers
    • Spiral Matrix
    • Spiral Matrix II
    • Rotate Image
  • Dynamic Programming I
    • Triangle
    • Minimum Path Sum
    • Unique Paths
    • Unique Paths II
    • Climbing Stairs
    • Jump Game
    • Jump Game II
    • 01 Matrix
    • Longest Line of Consecutive One in Matrix
    • Shortest Path in Binary Matrix
  • Dynamic Programming II
    • Word Break
    • Longest Common Subsequence
    • Longest Common Substring
    • Edit Distance
    • Distinct Subsequences
    • Interleaving String
    • k Sum
  • Binary Tree And Divide Conquer
    • Binary Tree Preorder Traversal*
    • Binary Tree Inorder Traversal*
    • Binary Tree Postorder Traversal*
    • Maximum Depth of Binary Tree
    • Minimum Depth of Binary Tree
    • Balanced Binary Tree
    • Lowest Common Ancestor
    • Binary Tree Maximum Path Sum
    • Binary Tree Maximum Path Sum II
    • Binary Tree Level Order Traversal*
    • Binary Tree Level Order Traversal II
    • Binary Tree Zigzag Level Order Traversal
    • Validate Binary Search Tree
    • Inorder Successor in Binary Search Tree
    • Binary Search Tree Iterator
    • Search Range in Binary Search Tree
    • Insert Node in a Binary Search Tree
    • Remove Node in Binary Search Tree
    • Find the kth largest element in the BST
    • Kth Smallest Element in a BST
    • Serialize and Deserialize Binary Tree*
    • Construct Binary Tree from Preorder and Inorder Traversal
    • Convert Sorted Array to Binary Search Tree
    • Unique Binary Search Trees *
    • Unique Binary Search Trees II *
    • Recover Binary Search Tree
    • Same Tree
    • Symmetric Tree
    • Path Sum*
    • Path Sum II*
    • Flatten Binary Tree to Linked List
    • Populating Next Right Pointers in Each Node
    • Sum Root to Leaf Numbers
    • Binary Tree Right Side View
    • Count Complete Tree Nodes
    • Invert Binary Tree
    • Binary Tree Paths*
    • Subtree of Another Tree
  • A家面试总结
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  • Python 常用语句
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  1. Binary Search

Search a 2D Matrix II

Write an efficient algorithm that searches for a value in anmxnmatrix. This matrix has the following properties:

  • Integers in each row are sorted in ascending from left to right.

  • Integers in each column are sorted in ascending from top to bottom.

For example,

Consider the following matrix:

[
  [1,   4,  7, 11, 15],
  [2,   5,  8, 12, 19],
  [3,   6,  9, 16, 22],
  [10, 13, 14, 17, 24],
  [18, 21, 23, 26, 30]
]

Giventarget=5, returntrue.

Giventarget=20, returnfalse.

Solution

设置两个指针,每一行的最后一列是非常重要的参考,如果大于这个值,就换行,如果小于这个,就一定在同一行,于是换列。

class Solution(object):
    def searchMatrix(self, matrix, target):
        if matrix == None or len(matrix) == 0:
            return False
        row, col = 0, len(matrix[0]) - 1

        while row < len(matrix) and col >= 0:
            if matrix[row][col] == target:
                return True
            elif target < matrix[row][col]:
                col -=1
            else:
                row +=1
        return False
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Last updated 4 years ago

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