Binary Search Trees: Operations and Procedures

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Longest Common Subsequence and Optimal BST

Explores Longest Common Subsequence and Optimal Binary Search Trees, discussing algorithms and probabilities for efficient search structures.

Optimal Binary Search Trees

Explains Optimal Binary Search Trees using dynamic programming and covers a midterm exam from 2016.

Fast Interval Queries

Focuses on designing a data structure for fast interval queries on a complete binary tree.

Optimal Binary Search Trees

Explores optimal binary search trees to minimize search cost using dynamic programming and recursive formulations.

Implementing Combiners

Covers the implementation of combiners in parallel programming in Scala, including efficient combine methods and set data structures.

Algorithms: Final Exam Review

Provides a detailed review of the 2016 final exam, covering various algorithmic problems.

Algorithmic Paradigms for Dynamic Graph Problems

Covers algorithmic paradigms for dynamic graph problems, including dynamic connectivity, expander decomposition, and local clustering, breaking barriers in k-vertex connectivity problems.

Optimal Binary Search Tree

Explores optimal binary search trees to minimize expected search cost and discusses graphs representation using adjacency matrices and lists.

Binary Search: Basics and Execution

Explores binary search fundamentals, efficiency, and temporal complexity in algorithmic searching.

Graph Algorithms II: Traversal and Paths

Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.