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Lecture
Binary Search Trees: Operations and Implementations
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Related lectures (24)
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Optimal Binary Search Trees
Explores optimal binary search trees to minimize search cost using dynamic programming and recursive formulations.
Binary Search: Basics and Execution
Explores binary search fundamentals, efficiency, and temporal complexity in algorithmic searching.
Complexity & Induction: Algorithms & Proofs
Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.
Dynamic Programming: Palindromic Subsequences
Explores dynamic programming for palindromic subsequences, merging binary search trees, and finding the median of two sorted arrays.
Algorithm Complexity Analyses
Covers the complexity analyses of algorithms and their worst-case time complexities.
Complexity of Algorithms: Quiz + Answers
Covers the time complexity of algorithms and includes a quiz.
Complexity & Induction: Algorithms & Proofs
Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.
Complexity of Algorithms: Growth and Laws
Covers the growth of functions and time complexity analysis for search algorithms.
Computation & Algorithms II: Sorting and Recursive Algorithms
Explores sorting and recursive algorithms, including complexity analysis, maximal value, and binary search.
Algorithms in Computer Science: Search and Sort Techniques
Provides an overview of essential search and sort algorithms in computer science.