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Lecture
Introduction to Algorithms
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Related lectures (21)
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Dynamic Programming: Shortest Paths Algorithms
Explores dynamic programming strategies for finding shortest paths in networks with various algorithms and complexities.
Recursion in Programming
Explores recursion in programming, discussing its benefits, challenges, and impact on algorithm complexity.
History and Definition of Computer Science
Explains the basic concepts of computer science and their interaction.
Tower of Hanoi: Recursion and Dynamic Programming
Explores the Tower of Hanoi algorithm, recursion, and dynamic programming in solving problems efficiently.
Improved Algorithm: Three-Color Parity Games
Introduces an improved algorithm for three-color parity games, focusing on progress measures, acceleration, and practical speed-up.
Termination Analysis using Dependency Pairs
Explores automated termination analysis using dependency pairs, covering classical and modern techniques, annual competitions, and tools like AProVE.
Factoring Polynomials: Complexity and Algorithms
Delves into the complexity of factoring polynomials and the implications for security.
Graph Algorithms: Memory Management and Traversal
Explores memory management, graph representation, and traversal algorithms in Python, emphasizing BFS and DFS.
Complexity & Induction: Algorithms & Proofs
Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.
Minimum Spanning Trees: Prim's Algorithm
Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.