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Modularity: Community Detection Algorithms
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Related lectures (48)
Energy Systems Optimization
Explores energy systems modeling, optimization, and cost analysis for efficient operations.
Optimization with Constraints: KKT Conditions
Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.
Optimization methods
Covers optimization methods, focusing on gradient methods and line search techniques.
Predicting Completion Time: Optimization Strategies
Discusses predicting completion time and optimizing activities through efficient orchestration strategies and experiment-based completion curve predictions.
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.
Rhino to AutoCAD Transition
Explores the transition from Rhino to AutoCAD, focusing on tools and features.
Optimisation Strategies: Energy Systems Modelling and Optimization
Explores solving strategies for energy system optimization problems and different types of optimization approaches.
Network Formation: Random Connection Models
Explores network formation through random connection models and node degree distribution.
Electroacoustic Absorbers: Performance Evaluation and Conclusions
Explores the performance evaluation and conclusions of electroacoustic absorbers in room modal equalization and optimization.
Duality: Duality in Linear Optimization
MOOC: Optimization: principles and algorithms - Linear optimization
Covers the concept of linear optimization and the duality relationship between primal and dual problems.
Energy optimization strategies
Covers brainstorming options for smart operation changes, heat recovery, and PV panel performance.
Optimizing Recursive Queries
Explores optimizing recursive queries in database systems using Datalog and semirings, discussing the challenges and solutions in data analytics.
Gaussian Process-Based Model Predictive Control
Explores Gaussian Process-Based Model Predictive Control for HVAC systems using Gaussian processes, Bayesian statistics, and non-linear equations.
Social and Information Networks: Structure
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Explores the structure of social and information networks, focusing on giant components, clustering, tie formation, and network connectivity.
Graph Mining: Social Networks Analysis
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Explores graph mining in social networks, covering modularity algorithms and community detection.
Network Analysis: Methods and Applications
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Explores network analysis methods, operationalizing concepts, historical applications, and challenges in treating time within networks.
Introduction to Optimization and Operations Research
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Covers fundamental concepts of optimization and operations research, exploring real-world examples and key topics over a semester.
Graph Coloring: Theory and Applications
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Explores graph coloring theory, spectral clustering, community detection, and network structures.
Optimization in Large Search Spaces: GPU-Accelerated Join Order
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Explores GPU-accelerated join order optimization in large search spaces, leveraging graph topology to reduce computational overheads.
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