# Valid Palindrome
- tags: [palindrome]
### Source
- leetcode: [Valid Palindrome | LeetCode OJ](https://leetcode.com/problems/valid-palindrome/)
- lintcode: [(415) Valid Palindrome](http://www.lintcode.com/en/problem/valid-palindrome/)
~~~
Given a string, determine if it is a palindrome,
considering only alphanumeric characters and ignoring cases.
Example
"A man, a plan, a canal: Panama" is a palindrome.
"race a car" is not a palindrome.
Note
Have you consider that the string might be empty?
This is a good question to ask during an interview.
For the purpose of this problem,
we define empty string as valid palindrome.
Challenge
O(n) time without extra memory.
~~~
### 题解
字符串的回文判断问题,由于字符串可随机访问,故逐个比较首尾字符是否相等最为便利,即常见的『两根指针』技法。此题忽略大小写,并只考虑字母和数字字符。链表的回文判断总结见 [Check if a singly linked list is palindrome](http://algorithm.yuanbin.me/zh-cn/linked_list/check_if_a_singly_linked_list_is_palindrome.html).
### Python
~~~
class Solution:
# @param {string} s A string
# @return {boolean} Whether the string is a valid palindrome
def isPalindrome(self, s):
if not s:
return True
l, r = 0, len(s) - 1
while l < r:
# find left alphanumeric character
if not s[l].isalnum():
l += 1
continue
# find right alphanumeric character
if not s[r].isalnum():
r -= 1
continue
# case insensitive compare
if s[l].lower() == s[r].lower():
l += 1
r -= 1
else:
return False
#
return True
~~~
### C++
~~~
class Solution {
public:
/**
* @param s A string
* @return Whether the string is a valid palindrome
*/
bool isPalindrome(string& s) {
if (s.empty()) return true;
int l = 0, r = s.size() - 1;
while (l < r) {
// find left alphanumeric character
if (!isalnum(s[l])) {
++l;
continue;
}
// find right alphanumeric character
if (!isalnum(s[r])) {
--r;
continue;
}
// case insensitive compare
if (tolower(s[l]) == tolower(s[r])) {
++l;
--r;
} else {
return false;
}
}
return true;
}
};
~~~
### Java
~~~
public class Solution {
/**
* @param s A string
* @return Whether the string is a valid palindrome
*/
public boolean isPalindrome(String s) {
if (s == null || s.isEmpty()) return true;
int l = 0, r = s.length() - 1;
while (l < r) {
// find left alphanumeric character
if (!Character.isLetterOrDigit(s.charAt(l))) {
l++;
continue;
}
// find right alphanumeric character
if (!Character.isLetterOrDigit(s.charAt(r))) {
r--;
continue;
}
// case insensitive compare
if (Character.toLowerCase(s.charAt(l)) == Character.toLowerCase(s.charAt(r))) {
l++;
r--;
} else {
return false;
}
}
return true;
}
}
~~~
### 源码分析
两步走:
1. 找到最左边和最右边的第一个合法字符(字母或者字符)
1. 一致转换为小写进行比较
字符的判断尽量使用语言提供的 API
### 复杂度分析
两根指针遍历一次,时间复杂度 O(n)O(n)O(n), 空间复杂度 O(1)O(1)O(1).
- Preface
- Part I - Basics
- Basics Data Structure
- String
- Linked List
- Binary Tree
- Huffman Compression
- Queue
- Heap
- Stack
- Set
- Map
- Graph
- Basics Sorting
- Bubble Sort
- Selection Sort
- Insertion Sort
- Merge Sort
- Quick Sort
- Heap Sort
- Bucket Sort
- Counting Sort
- Radix Sort
- Basics Algorithm
- Divide and Conquer
- Binary Search
- Math
- Greatest Common Divisor
- Prime
- Knapsack
- Probability
- Shuffle
- Basics Misc
- Bit Manipulation
- Part II - Coding
- String
- strStr
- Two Strings Are Anagrams
- Compare Strings
- Anagrams
- Longest Common Substring
- Rotate String
- Reverse Words in a String
- Valid Palindrome
- Longest Palindromic Substring
- Space Replacement
- Wildcard Matching
- Length of Last Word
- Count and Say
- Integer Array
- Remove Element
- Zero Sum Subarray
- Subarray Sum K
- Subarray Sum Closest
- Recover Rotated Sorted Array
- Product of Array Exclude Itself
- Partition Array
- First Missing Positive
- 2 Sum
- 3 Sum
- 3 Sum Closest
- Remove Duplicates from Sorted Array
- Remove Duplicates from Sorted Array II
- Merge Sorted Array
- Merge Sorted Array II
- Median
- Partition Array by Odd and Even
- Kth Largest Element
- Binary Search
- Binary Search
- Search Insert Position
- Search for a Range
- First Bad Version
- Search a 2D Matrix
- Search a 2D Matrix II
- Find Peak Element
- Search in Rotated Sorted Array
- Search in Rotated Sorted Array II
- Find Minimum in Rotated Sorted Array
- Find Minimum in Rotated Sorted Array II
- Median of two Sorted Arrays
- Sqrt x
- Wood Cut
- Math and Bit Manipulation
- Single Number
- Single Number II
- Single Number III
- O1 Check Power of 2
- Convert Integer A to Integer B
- Factorial Trailing Zeroes
- Unique Binary Search Trees
- Update Bits
- Fast Power
- Hash Function
- Count 1 in Binary
- Fibonacci
- A plus B Problem
- Print Numbers by Recursion
- Majority Number
- Majority Number II
- Majority Number III
- Digit Counts
- Ugly Number
- Plus One
- Linked List
- Remove Duplicates from Sorted List
- Remove Duplicates from Sorted List II
- Remove Duplicates from Unsorted List
- Partition List
- Two Lists Sum
- Two Lists Sum Advanced
- Remove Nth Node From End of List
- Linked List Cycle
- Linked List Cycle II
- Reverse Linked List
- Reverse Linked List II
- Merge Two Sorted Lists
- Merge k Sorted Lists
- Reorder List
- Copy List with Random Pointer
- Sort List
- Insertion Sort List
- Check if a singly linked list is palindrome
- Delete Node in the Middle of Singly Linked List
- Rotate List
- Swap Nodes in Pairs
- Remove Linked List Elements
- Binary Tree
- Binary Tree Preorder Traversal
- Binary Tree Inorder Traversal
- Binary Tree Postorder Traversal
- Binary Tree Level Order Traversal
- Binary Tree Level Order Traversal II
- Maximum Depth of Binary Tree
- Balanced Binary Tree
- Binary Tree Maximum Path Sum
- Lowest Common Ancestor
- Invert Binary Tree
- Diameter of a Binary Tree
- Construct Binary Tree from Preorder and Inorder Traversal
- Construct Binary Tree from Inorder and Postorder Traversal
- Subtree
- Binary Tree Zigzag Level Order Traversal
- Binary Tree Serialization
- Binary Search Tree
- Insert Node in a Binary Search Tree
- Validate Binary Search Tree
- Search Range in Binary Search Tree
- Convert Sorted Array to Binary Search Tree
- Convert Sorted List to Binary Search Tree
- Binary Search Tree Iterator
- Exhaustive Search
- Subsets
- Unique Subsets
- Permutations
- Unique Permutations
- Next Permutation
- Previous Permuation
- Unique Binary Search Trees II
- Permutation Index
- Permutation Index II
- Permutation Sequence
- Palindrome Partitioning
- Combinations
- Combination Sum
- Combination Sum II
- Minimum Depth of Binary Tree
- Word Search
- Dynamic Programming
- Triangle
- Backpack
- Backpack II
- Minimum Path Sum
- Unique Paths
- Unique Paths II
- Climbing Stairs
- Jump Game
- Word Break
- Longest Increasing Subsequence
- Palindrome Partitioning II
- Longest Common Subsequence
- Edit Distance
- Jump Game II
- Best Time to Buy and Sell Stock
- Best Time to Buy and Sell Stock II
- Best Time to Buy and Sell Stock III
- Best Time to Buy and Sell Stock IV
- Distinct Subsequences
- Interleaving String
- Maximum Subarray
- Maximum Subarray II
- Longest Increasing Continuous subsequence
- Longest Increasing Continuous subsequence II
- Graph
- Find the Connected Component in the Undirected Graph
- Route Between Two Nodes in Graph
- Topological Sorting
- Word Ladder
- Bipartial Graph Part I
- Data Structure
- Implement Queue by Two Stacks
- Min Stack
- Sliding Window Maximum
- Longest Words
- Heapify
- Problem Misc
- Nuts and Bolts Problem
- String to Integer
- Insert Interval
- Merge Intervals
- Minimum Subarray
- Matrix Zigzag Traversal
- Valid Sudoku
- Add Binary
- Reverse Integer
- Gray Code
- Find the Missing Number
- Minimum Window Substring
- Continuous Subarray Sum
- Continuous Subarray Sum II
- Longest Consecutive Sequence
- Part III - Contest
- Google APAC
- APAC 2015 Round B
- Problem A. Password Attacker
- Microsoft
- Microsoft 2015 April
- Problem A. Magic Box
- Problem B. Professor Q's Software
- Problem C. Islands Travel
- Problem D. Recruitment
- Microsoft 2015 April 2
- Problem A. Lucky Substrings
- Problem B. Numeric Keypad
- Problem C. Spring Outing
- Microsoft 2015 September 2
- Problem A. Farthest Point
- Appendix I Interview and Resume
- Interview
- Resume