Energy Grid Optimization and Analysis (EGOA)
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Updated
Apr 29, 2024 - C++
Energy Grid Optimization and Analysis (EGOA)
Network traffic analysis, traffic characteristics extraction, flow migration and evaluation
LaTeX source code, figures, plots, presentations, and scripts of the PhD thesis "Combinatorial Problems in Energy Networks - Graph-theoretic Models and Algorithms".
Network-flows: a c++ command line tool for network optimization problems
A set of posters in different fields.
A set of presentations and lectures in different fields.
A Python module for generating random network flows problem instances in DIMACS graph format.
R package for the evaluation of the (weighted, normalised) efficiency of network flows.
Network Flows Homeworks. January-June 2019. Graduate Program in System Engineering. UANL
Python implementation of Mercer Features for Efficient Combinatorial Bayesian Optimization
Monetary Worth Maximization, Cost Minimization and Network Flow cases; where LP approach is applied
Implementation of 2 apps, using Mininet as a Virtual Network Simulator and OpenDaylight Software-Defined-Networking Controller.
This repository contains various implementations of algorithms related to network flows.
Teaching material that I prepared as a TA for the laboratories of the Network Dynamics and Learning course for the MSc in Data Science and Engineering at Politecnico di Torino.
A webapp to visualize the Ford-Fulkerson and Edmonds-Karp max flow algorithms. Below is the link to the website!
Personal Notes on two papers dealing with approximation algorithms for the multicommodity flow problem
Coursera Data Structures and Algorithms Specialization course 5 --> Advanced Algorithms and Complexity... Code is completed in python only.
Implementation of maximum flow algorithm from Network flows book by Ahuja, Magnanti, Orlin
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