Fortran/Python linear algebra utilities
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Updated
Oct 31, 2018 - Fortran
Fortran/Python linear algebra utilities
Unconstrained optimization algorithms in python, line search and trust region 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
A matlab function for steepest descent optimization using Quasi Newton's method : BGFS & DFP
Implementation of unconstrained optimization techniques in Matlab
This repository consists of Lab Assignments for course Machine Learning.
Pseudo-Inverse, Gradient-Stochastic-Steepest Descent, Logistic Regression and LDA-QDA
Example Code for numerical optimization. Written in python.
MATLAB Numerical Optimization Methods
Project for the Numerical Linear Algebra course @{cse.uoi.gr, math.uoi.gr}
This repository will comprise primary optimization algorithms in Python language. Optimization is an extremely important part of machine learning.
Course assignments for CL 663: IIT Bombay
Implementation of Unconstrained minimization algorithms. These are listed below:
Demonstration of gradient descent methods
A fun side project to perform AI algorithms using plain java code.
The project involves a practical optimization problem that is modelled and solved using some mathematical optimization methods and software.
Steepest Descent Method is studied for Rosenbrock function.
This contains three programs written in python. Gauss-Seidel and Successive Over Relaxation to solve system of equations and Steepest-Descent to minimize a function of 2 or 3 variables.
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