Dijkstra's algorithm

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Related lectures (29)

Dijkstra's Algorithm: All-Pairs

Covers Dijkstra's algorithm and its application to the all-pairs shortest path problem.

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.

Dijkstra's Algorithm and Probabilistic Analysis

Introduces Dijkstra's algorithm and probabilistic analysis through the Hiring Problem.

Dynamic Programming: Bellman-Ford and Dijkstra

Explores dynamic programming with Bellman-Ford, Dijkstra, greedy strategies, and activity scheduling problems.

Shortest Paths: Bellman-Ford and Dijkstra

Covers the Bellman-Ford and Dijkstra algorithms for finding shortest paths in graphs with different edge weights.

Graph Algorithms II: Traversal and Paths

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

Shortest Path Algorithms: BFS and Dijkstra

Explores Breadth-First Search and Dijkstra's algorithm for finding shortest paths in graphs.

Network Flow Algorithms

Covers network flow algorithms, including Max Flow, Min Cut, and Negative Cost Cycle Algorithm, progressing from basic definitions to advanced algorithms like Bellman-Ford and Dijkstra's.

Total Order Broadcast: Basics and Consensus Equivalences

Explores total order broadcast and its equivalence to consensus in reliable systems.

Dynamic Programming: Pascal's Triangle & Floyd's Algorithm

Explores dynamic programming through Pascal's Triangle and Floyd's Algorithm.

Dynamic Programming: Shortest Paths Algorithms

Explores dynamic programming strategies for finding shortest paths in networks with various algorithms and complexities.

Latent Tree Learning

Explores latent tree learning, covering node properties, sibling relationships, and algorithmic structure.

Distinct Elements: Count and Hash Functions

Covers counting distinct elements using hash functions and the median trick.

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Descent methods and line search: Finiteness of the line search algorithm

Explores the Wolfe conditions for line search algorithms and proves the finiteness of the line search parameter.

Paths, Diffusion, and Navigation

Explores paths in networks, brain connectivity, shortest path routing, network efficiency, navigation, and upcoming midterm.

Minimum Spanning Trees

Covers the implementation and analysis of disjoint sets data structure and introduces the concept of minimum spanning trees.

Shortest path, Dijkstra's algorithm

Explores Dijkstra's algorithm for finding the shortest path in a network with non-negative costs and permanent labels.

Global Navigation: Path Planning

Covers global navigation, path planning algorithms, cell decomposition, potential field methods, and stigmergy-based path optimization.

Connect Four: Winning Strategy

Explains the winning strategy in Connect Four by checking for winning combinations.

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