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Lecture
Transhipment and Shortest Paths
Graph Chatbot
Related lectures (28)
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Calcul and Algorithms: What is an Algorithm?
Covers the basics of algorithms in computer science, including their formalization and complexity.
Dynamic Programming: Bellman-Ford and Dijkstra
Explores dynamic programming with Bellman-Ford, Dijkstra, greedy strategies, and activity scheduling problems.
Shortest Path in Directed Graphs
Covers finding the shortest path in directed graphs efficiently using algorithmic approaches and discussing related NP-complete problems.
Unweighted Bipartite Matching
Introduces unweighted bipartite matching and its solution using linear programming and the simplex method.
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.
Shortest Path Algorithms: BFS and Dijkstra
Explores Breadth-First Search and Dijkstra's algorithm for finding shortest paths in graphs.
Dijkstra's Algorithm and Shortest Path
Covers Dijkstra's algorithm for shortest path problems and its application in ALL-TO-ONE and ALL-PAIRS algorithms.
Theory of Computation: NP Problems Examples
Examines NP problems, graph coloring, path optimization, and computational complexity distinctions in P and NP classes.
Introduction to Shortest Path
Introduces the concept of shortest path, discussing weighted paths, Hamiltonian paths, and path optimization algorithms.
Computation & Algorithms II: Binary Search and Merge Sort
Explores binary search, merge sort, recursion in algorithms, Fibonacci numbers, and dynamic programming.
