A Matlab/Octave package for oscillatory integration

A matlab function for steepest descent optimization using Quasi Newton's method : BGFS & DFP

Implementation of unconstrained optimization techniques in Matlab

Implementations of various Algorithms used in Numerical Analysis, from root-finding up to gradient descent and numerically solving PDEs.

Demonstration of gradient descent methods

Assignments for Optimization Techniques Course at ECE AUTH. Includes Steepest Descent, Levenberg-Marquardt and a Genetic Algorithm implementation for Network Traffic Optimization.

Implementation of Unconstrained Optimization Algorithms: Dog Leg, Cauchy, Trust Region, Steepest Decent, Newton and Conjugate Gradient methods.

The implementation of advanced mathematical optimization methods

Computational methods for beam angle optimization in intensity modulated radiotherapy

Gradient descent approximation of orthogonal projection of a point on a convex periodic curve

MATLAB Numerical Optimization Methods

Steepest Descent Method is studied for Rosenbrock function.

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.

Non Linear Mathematical Optimization for objective functions f: ℝn→ ℝ.

This repository contains a collection of MATLAB scripts that implement some of the classical optimization methods for unconstrained optimization models: Steepest-Descent, Newton method, Gauss-Newton, Conjugate Gradient method, Fibonacci search, Golden-section search, Dichotomous search and Exhaustive search.