Repository for algorithms and functions intended to learn machine learning.
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Updated
Apr 13, 2023 - Julia
Repository for algorithms and functions intended to learn machine learning.
Here I have implemented the Assigment Problem which is a well known optimization problem.
Sweep algorithm (developed by Gillett and Miller) for the capacitated vehicle routing problem.
Julia interface to parallel decomposition solver DSP
Attempts to produce my first binary wrapper
Optimal control example of an inverted pendulum solved by a direct multiple shooting method with IPOPT and JuMP
An exploration of using FBA to engineer E. coli's metabolism in Julia
Self-concordant Smoothing for Large-Scale Convex Composite Optimization
A Multi-Stage Exact Algorithm for Bi-objective Pure Integer Linear Programming in Julia
Validator and instances' translator written in Python to check feasibility on CSP solutions for the library (Beasley, 96), solved with an adaptation of the VRPSolver implemented in Julia and C++. The VRPSolver is availabel at: https://vrpsolver.math.u-bordeaux.fr/, and this repository contains a derived interface developed to use it for a generi…
Python and Julia Code for the NTU module MH3701 Basic Optimization, and other optimization tasks beyond.
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
This repository demonstrates a design pattern for creating structured optimization libraries using JuMP.
Sequential Minimal Optimization (SMO) with LIBSVM in Matlab.
The standard linear program for optimization is implemented in Julia using JuMP.
Julia package for solving convex programming problems using the Kelley Cutting Plane Method.
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