Project for the Numerical Linear Algebra course @{cse.uoi.gr, math.uoi.gr}
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Updated
Feb 15, 2020 - C
Project for the Numerical Linear Algebra course @{cse.uoi.gr, math.uoi.gr}
Analytical and Numerical Approximation of functions
Basic and advanced linear algebra and numerical problems, numerical algorithms, and techniques with multiple applications in the field of Computer Science.
Gradient descent approximation of orthogonal projection of a point on a convex periodic curve
Through this project we will try to understand working of Steepest-Descent and Gradient-Descent method and the differences between them.
This repository will comprise primary optimization algorithms in Python language. Optimization is an extremely important part of machine learning.
MATLAB Numerical Optimization Methods
The project involves a practical optimization problem that is modelled and solved using some mathematical optimization methods and software.
Course assignments for CL 663: IIT Bombay
Implementation of a few optimization algorithms
📉🏞️ Steepest Descent Algorithm for Water Molecules Energy Minimization 🔍🌊
Diffuse Optical Tomography (DOT) is an non-invasive optical imaging technique that measures the optical properties of physiological tissue using near infrared spectrum light. Optical properties are extracted from the measurement using reconstruction algorithm. This project uses the steepest descent method for reconstruction of optical data.
A fun side project to perform AI algorithms using plain java code.
Steepest Descent Method is studied for Rosenbrock function.
Non Linear Mathematical Optimization for objective functions f: ℝn→ ℝ.
This repository contains an implementation of the Gradient Descent Algorithm in C++, utilizing the Armijo condition to optimize step sizes.
This project summarizes the learning process of optimization methods, attempting to start from the original mathematical formulas and write Python code to understand the principles of the methods.
Through this project we will try to understand working of Steepest-Descent and Gradient-Descent method and the differences between them
This repo contain implementation of Steepest Descent algorithm using inexact line search and Newton's method on Functions like Tried Function, Three Hump Camel, Styblinski-Tang Function, Rosenbrock Function, etc.
assignments and projects of advanced optimization course
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