Personal Notes on two papers dealing with approximation algorithms for the multicommodity flow problem
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Updated
Nov 29, 2020
Personal Notes on two papers dealing with approximation algorithms for the multicommodity flow problem
Network traffic analysis, traffic characteristics extraction, flow migration and evaluation
Network Flows Homeworks. January-June 2019. Graduate Program in System Engineering. UANL
Implementation of maximum flow algorithm from Network flows book by Ahuja, Magnanti, Orlin
This repository contains various implementations of algorithms related to network flows.
A set of presentations and lectures in different fields.
Monetary Worth Maximization, Cost Minimization and Network Flow cases; where LP approach is applied
LaTeX source code, figures, plots, presentations, and scripts of the PhD thesis "Combinatorial Problems in Energy Networks - Graph-theoretic Models and Algorithms".
R package for the evaluation of the (weighted, normalised) efficiency of network flows.
Network-flows: a c++ command line tool for network optimization problems
Energy Grid Optimization and Analysis (EGOA)
A Python module for generating random network flows problem instances in DIMACS graph format.
A set of posters in different fields.
A webapp to visualize the Ford-Fulkerson and Edmonds-Karp max flow algorithms. Below is the link to the website!
Implementation of 2 apps, using Mininet as a Virtual Network Simulator and OpenDaylight Software-Defined-Networking Controller.
Coursera Data Structures and Algorithms Specialization course 5 --> Advanced Algorithms and Complexity... Code is completed in python only.
Python implementation of Mercer Features for Efficient Combinatorial Bayesian Optimization
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.
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