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GitHub / tstran155 / Linear-Programming-MILP-DP-NLP-Optimization-With-Python

This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tstran155%2FLinear-Programming-MILP-DP-NLP-Optimization-With-Python

Stars: 5
Forks: 2
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 512 KB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: 3 months ago
Pushed at: about 1 year ago
Last synced at: 9 days ago

Commit Stats

Commits: 15
Authors: 1
Mean commits per author: 15.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/tstran155/Linear-Programming-MILP-DP-NLP-Optimization-With-Python

Topics: cbc-solver, couenne-solver, cplex-optimization-solver, dynamic-programming, glpk-solver, gurobi-solver, linear-programming, milp, milp-optimisation, nonlinear-optimization, optimization-problem, or-tools, pulp, pyomo, scipy

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