This repository contains code, LaTeX documents, and scanned work related to the Optimization Methods course at ITMO University.
Important
To clone and use this repository files locally, you need to have Git LFS installed, as all PDF and PNG files are stored using Git LFS.
This directory contains Rust and Python code for the different optimization methods covered in the course.
This directory includes Rust implementations of several optimization methods:
- Bisection Method
- Golden Section Method
- Chord Method
- Newton's Method
- Quadratic Approximation
This directory includes a Rust implementation of the Gradient Descent method.
This directory includes a Python implementation of a Genetic Algorithm for solving the Traveling Salesman Problem (TSP).
This directory includes all remaining latex and pdf files for laboratory work reports and tasks:
- Lab 2 - Computational Optimization Methods
- Implemented in optimisation methods
- Lab 3 - Quadratic Approximation
- Also implemented in optimisation methods
- Lab 4 - Multidimensional Optimization
- Implemented in gradient descent
- Lab 5 - Linear Programming Tasks
- There is no programming involved
- Lab 6 - Traveling Salesman Problem
- Implemented in genetic algorithm
This directory includes all lectures in .pdf format sorted by order.
This directory contains the final coursework, where I solve transport problem for a complex transport network and optimise an animal feeding problem
All files are also publicly available on Google Drive