Modularity: Community Detection Algorithms

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Graph Mining: Modularity and Community Detection

Explores community detection in graphs using modularity and edge betweenness.

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Social Network Analysis: Friendship Relations

Introduces social network analysis through Python code modeling friendship relations.

Degree of Freedom Analysis

Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.

Graph Coloring: Theory and Applications

Explores graph coloring theory, spectral clustering, community detection, and network structures.

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Explores the transition from Rhino to AutoCAD, focusing on tools and features.

Optimization in Large Search Spaces: GPU-Accelerated Join Order

Explores GPU-accelerated join order optimization in large search spaces, leveraging graph topology to reduce computational overheads.

Optimization Principles

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.

Optimisation Strategies: Energy Systems Modelling and Optimization

Explores solving strategies for energy system optimization problems and different types of optimization approaches.

Optimization Programs: Piecewise Linear Cost Functions

Covers the formulation of optimization programs for minimizing piecewise linear cost functions.