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Data Structures and Algorithms
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Module 3
High-ROI Interview Patterns: Pointers and Windows
1
Two-Pointer Technique for Arrays and Strings
Apply the two-pointer technique to solve array and string problems (e.g., palindrome check, sorted array problems).
2
Fast and Slow Pointers in Linked Lists
Apply the fast and slow pointer technique in linked lists (e.g., cycle detection, find middle).
Iterative Linked List Reversal
Reverse a linked list iteratively using pointers.
4
Sliding Window Technique for Subarray/Substring Problems
Apply the sliding window pattern to solve array and string subarray/substring problems.
5
Prefix Sums for O(1) Range Queries
Implement and apply prefix sums to answer range query problems in O(1) time.
Previous module
Core Sequential Data Structures
Next module
Hashing for Efficient Lookups