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Related lectures (29)

Page 2 of 3

Algorithmes: introduction

Covers the basics of algorithms, problem-solving, and efficient resolution methods.

Statistical Analysis of Network Data: Structures and Models

Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.

Irreducible Matrices and Strong Connectivity

Explores irreducible matrices and strong connectivity in networked control systems, emphasizing the importance of adjacency matrices and graph structures.

Predicting Reaction Yields with Deep Learning

Explores predicting reaction yields with deep learning models and the importance of high-quality data sets in chemistry.

Depth-First Search: Traversing and Sorting Graphs

Explores depth-first search, breadth-first search, graph representation, and topological sorting in graphs.

Ising Simulation: Update Methods and Measurements

Covers the Ising simulation, focusing on update methods and measurements.

Efficient Graph Queries: Memory Constraints

Explores scaling pattern matching in large graphs and optimizing query execution under memory constraints using work-sharing and batch processing.

Optimal Binary Search Tree

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

Networks: Computer Representation

Covers the concept of adjacency matrix and adjacency lists for representing networks.

Link Indexing

Explores adjacency lists, locality, similarity, and efficient representation in link indexing.