Master sorting, searching, data structures, and complexity analysis with visual explanations.
Understand time and space complexity for algorithm analysis.
Bubble sort, selection sort, merge sort, and quicksort.
Linear search, binary search, and search in data structures.
Implement and use stacks, queues, and their applications.
Master depth-first and breadth-first search with practical applications.
Solve optimization problems by making locally optimal choices at each step.
Solve problems by breaking them into smaller subproblems recursively.
Master memoization, tabulation, and classic DP patterns like interval and tree DP.
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