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Leetcode
  • Content
  • Algorithms
    • Linear Search
    • Binary Search
    • Counting Sort
    • Merge Sort
    • Insertion Sort
    • Selection Sort
  • Array and String
    • Introduction to Array
      • Introduction to Array
      • Introduction to Dynamic Array
      • Find Pivot Index
      • Largest Number At Least Twice of Others
      • Plus One
    • Introduction to 2D Array
      • Introduction to 2D Array
      • Diagonal Traverse
      • Spiral Matrix
      • Pascal's Triangle
    • Introduction to String
      • Introduction to String
      • Immutable String - Problems & Solutions
      • Add binary
      • Implement strStr()
      • Longest Common Prefix
    • Two-Pointer Technique
      • Two-pointer Technique - Scenario I
      • Reverse String
      • Array Partition I
      • Two Sum II - Input array is sorted
      • Two-pointer Technique - Scenario II
      • Remove Element
      • Max Consecutive Ones
      • Minimum Size Subarray Sum
    • Conclusion
      • Array-related Techniques
      • Rotate Array
      • Pascal's Triangle II
      • Reverse Words in a String
      • Reverse Words in a String III
      • Remove Duplicates from Sorted Array
      • Move Zeroes
  • Linked List
    • Singly Linked List
      • Introduction - Singly Linked List
      • Add Operation - Singly Linked List
      • Delete Operation - Singly Linked List
      • Design Linked List
    • Two Pointer Technique
      • Two-Pointer in Linked List
      • Linked List Cycle
      • Linked List Cycle II
      • Intersection of Two Linked Lists
      • Remove Nth Node From End of List
      • Summary - Two-Pointer in Linked List
  • Problems
    • 1. Two Sum
    • 2. Add Two Numbers
    • 7. Reverse Integer
    • 9. Palindrome Number
    • 11. Container With Most Water
    • 12. Integer to Roman
    • 13. Roman to Integer
    • 14. Longest Common Prefix
    • 15. 3Sum
    • 21. Merge Two Sorted Lists
    • 26. Remove Duplicates from Sorted Array
    • 27. Remove Element
    • 28. Find the Index of the First Occurrence in a String
    • 34. Find First and Last Position of Element in Sorted Array
    • 35. Search Insert Position
    • 43. Multiply Strings
    • 49. Group Anagrams
    • 50. Pow(x, n)
    • 54. Spiral Matrix
    • 58. Length of Last Word
    • 66. Plus One
    • 67. Add Binary
    • 69. Sqrt(x)
    • 73. Set Matrix Zeroes
    • 75. Sort Colors
    • 88. Merge Sorted Array
    • 104. Maximum Depth of Binary Tree
    • 121. Best Time to Buy and Sell Stock
    • 122. Best Time to Buy and Sell Stock II
    • 136. Single Number
    • 146. LRU Cache
    • 189. Rotate Array
    • 206. Reverse Linked List
    • 217. Contains Duplicate
    • 219. Cotains Duplicate II
    • 226. Invert Binary Tree
    • 238. Product of Array Except Self
    • 242. Valid Anagram
    • 268. Missing Number
    • 283. Move Zeroes
    • 350. Intersection of Two Arrays II
    • 383. Ransom Note
    • 389. Find the Difference
    • 412. Fizz Buzz
    • 414. Third Maximum Number
    • 445. Add Two Numbers II
    • 448. Find All Numbers Disappeared in an Array
    • 459. Repeated Substring Pattern
    • 485. Max Consecutive Ones
    • 509. Fibonacci Number
    • 637. Average of Levels in Binary Tree
    • 657. Robot Return to Origin
    • 682. Baseball Game
    • 704. Binary Search
    • 705. Design HashSet
    • 709. To Lower Case
    • 724. Find Pivot Index
    • 876. Middle of the Linked List
    • 896. Monotonic Array
    • 860. Lemonade Change
    • 905. Sort Array By Parity
    • 916. Word Subsets
    • 941. Valid Mountain Array
    • 976. Largest Perimeter Triangle
    • 977. Squares of a Sorted Array
    • 1041. Robot Bounded In Circle
    • 1051. Height Checker
    • 1089. Duplicate Zeros
    • 1232. Check If It Is a Straight Line
    • 1275. Find Winner on a Tic Tac Toe Game
    • 1295. Find Numbers with Even Number of Digits
    • 1299. Replace Elements with Greatest Element on Right Side
    • 1342. Number of Steps to Reduce a Number to Zero
    • 1346. Check If N and Its Double Exist
    • 1476. Subrectangle Queries
    • 1480. Running Sum of 1d Array
    • 1491. Average Salary Excluding the Minimum and Maximum Salary
    • 1502. Can Make Arithmetic Progression From Sequence
    • 1523. Count Odd Numbers in an Interval Range
    • 1572. Matrix Diagonal Sum
    • 1672. Richest Customer Wealth
    • 1768. Merge Strings Alternately
    • 1752. Check if Array Is Sorted and Rotated
    • 1769. Minimum Number of Operations to Move All Balls to Each Box
    • 1790. Check if One String Swap Can Make Strings Equal
    • 1800. Maximum Ascending Subarray Sum
    • 1822. Sign of the Product of an Array
    • 1930. Unique Length-3 Palindromic Subsequences
    • 1991. Find the Middle Index in Array
    • 2185. Counting Words With a Given Prefix
    • 2235. Add Two Integers
    • 2236. Root Equals Sum of Children
    • 2270. Number of Ways to Split Array
    • 2381. Shifting Letters II
    • 2559. Count Vowel Strings in Ranges
    • 2610. Convert an Array Into a 2D Array With Conditions
    • 2657. Find the Prefix Common Array of Two Arrays
    • 3042. Count Prefix and Suffix Pairs I
    • 3105. Longest Strictly Increasing or Strictly Decreasing Subarray
    • 3151. Special Array I
    • 3223. Minimum Length of String After Operations
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  • Maslahatlar
  • Complexity Analysis

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  1. Linked List
  2. Two Pointer Technique

Summary - Two-Pointer in Linked List

Bu erda biz bog'langan ro'yxatdagi ikki nuqtali muammoni hal qilish uchun shablonni taqdim etamiz.

// Initialize slow & fast pointers
ListNode* slow = head;
ListNode* fast = head;
/**
 * Change this condition to fit specific problem.
 * Attention: remember to avoid null-pointer error
 **/
while (slow && fast && fast->next) {
    slow = slow->next;          // move slow pointer one step each time
    fast = fast->next->next;    // move fast pointer two steps each time
    if (slow == fast) {         // change this condition to fit specific problem
        return true;
    }
}
return false;   // change return value to fit specific problem

Maslahatlar

Bu biz massivda o'rgangan narsamizga o'xshaydi. Ammo bu qiyinroq va xatolarga moyil bo'lishi mumkin. E'tibor berishingiz kerak bo'lgan bir nechta narsalar mavjud:

1. Hardoim keyingi fieldni chaqirishdan oldin har doim tugun null ekanligini tekshiring.

Null tugunning keyingi tugunini olish null koʻrsatkich xatosiga olib keladi. Misol uchun, biz fast = fast.next.next ishga tushirishdan oldin, biz fast va fast.next null emasligini tekshirishimiz kerak.

2. Tsiklingizni yakuniy shartlarini diqqat bilan aniqlang. Yakuniy shartlaringiz cheksiz tsiklga olib kelmasligiga ishonch hosil qilish uchun bir nechta misollarni bajaring. Yakuniy shartlarni belgilashda birinchi maslahatimizni hisobga olishingiz kerak.

Complexity Analysis

Space complexityni tahlil qilish oson. Agar siz boshqa qo'shimcha bo'sh joysiz faqat ko'rsatgichlardan foydalansangiz, spacening murakkabligi O(1) bo'ladi. Biroq, vaqt murakkabligini tahlil qilish qiyinroq. Javobni olish uchun biz tsiklimizni necha marta bajarishimizni tahlil qilishimiz kerak.

Oldingi tsiklni topish misolida, biz tezroq ko'rsatgichni har safar 2 qadam va sekinroq ko'rsatkichni har safar 1 qadam harakatlantiramiz deb faraz qilaylik.

  1. Agar sikl boʻlmasa, tezkor koʻrsatkich bogʻlangan roʻyxatning oxiriga yetib borish uchun N/2 marta oladi, bu yerda N bogʻlangan roʻyxatning uzunligi

  2. Agar tsikl mavjud bo'lsa, tez ko'rsatkich sekinroq ko'rsatkichni ushlash uchun M marta kerak bo'ladi, bu erda M - ro'yxatdagi tsiklning uzunligi.

Shubhasiz, M <= N. Shunday qilib, biz tsiklni N martagacha bajaramiz. Va har bir loop uchun bizga faqat doimiy vaqt kerak. Demak, bu algoritmning vaqt murakkabligi jami O(N) ga teng.

Tahlil qilish mahoratingizni oshirish uchun boshqa muammolarni o'zingiz tahlil qiling. Turli xil shartlarni hisobga olishni unutmang. Agar barcha vaziyatlarni tahlil qilish qiyin bo'lsa, eng yomonini ko'rib chiqing.

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