Assignments in unconstrained optimization course covering 1st half of Nocedal and Wright textbook.
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Updated
Jun 27, 2017 - TeX
Assignments in unconstrained optimization course covering 1st half of Nocedal and Wright textbook.
Implementation of collection of test functions for UO(Unconstrained Optimization)
CG_DESCENT unconstrained nonlinear optimization algorithm by William W. Hager and Hongchao Zhang in single header library, original code taken from http://users.clas.ufl.edu/hager/papers/Software/
Unconstrained optimization algorithms in python, line search and trust region methods
optimization techniques for data mining
A CUTEst practical installer
Optimization algorithms written in Python and MATLAB
Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani
Algorithms in Statistical Machine Learning and Data Mining
Computational Mathematics (CM) for learning and data analysis Project - Training a neural network with nonlinear conjugate gradient (FR, PR, HS, PR+, HS+) and limited-memory bfgs methods.
An optimization solver for unconstrained differentiable problems
Estimating the 2-norm for a rectangular matrix (unconstrained approach) using two optimization algorithms: Standard gradient descent (steepest descent) method, and quasi-Newton method
Some numerical optimization method in Python
Provided a function (written in natural mathematical notation), returns a maxima or minima.
rosenbrock function optimization with four different methods (unconstrained optimization)
Optimizers for/and sklearn compatible Machine Learning models
A repository of optimization algorithms implemented in Python & MATLAB for mathematical optimization problems. Algorithms such as Genetic Algorithm, PSO, linear programming, and etc.
This repository contains assignments completed in the course "Convex Optimisation" using python
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
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