Data Structures and Algorithms (DSA)

Data Structures and Algorithms (DSA)

Learn and master the foundation of problem-solving. Explore arrays, linked lists, stacks, queues, trees, heaps, and graphs with practical examples. Understand algorithm design, complexity analysis, recursion, dynamic programming, and real-world coding patterns to write efficient, scalable, and maintainable applications.

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Data Structures and Algorithms (DSA)
Maximum Index Difference Using Alphabet Jumps
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Shortest Unique Prefix for Every Word (Trie)
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Longest Bitonic Subarray (Java)
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Largest Unblocked Submatrix (Greedy + Sorting)
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Maximum Sum Path in Two Sorted Arrays (Java)
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Ways to Increase LCS by One (Dynamic Programming)
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Maximum Subarray Sum by Removing At Most One Element (DP)
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Maximum Number of People Defeated
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Equalize All Prefix Sums
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Lexicographically Smallest String after Removing k Characters
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Remove Nodes That Have a Greater Value on Their Right in a Linked List
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Count Valid Parentheses Expressions Using Catalan Numbers
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Josephus Problem – Understanding the Famous Recurrence
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Maximum Visible People in a Line Using Monotonic Stack
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Find the Kth Smallest Element in a Sorted Matrix Using Binary Search on Answer
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Data Structures and Algorithms (DSA)
Count Elements Within a Range Using Sorting and Binary Search
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Count Elements in a Given Range Using Sorting and Binary Search
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Position of the Set Bit
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Buildings with Sunlight
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Police and Thieves Problem
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Minimum Window Subsequence
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Substrings With Exactly K Distinct Characters
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