Material from the course of Static and Dynamic Optimization at ENSEM - Université de Lorraine.
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Updated
Sep 17, 2023 - MATLAB
Material from the course of Static and Dynamic Optimization at ENSEM - Université de Lorraine.
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
A Single Layer Neural Network to recognize digits making use of unconstrained, non-linear optimization
Linear Regression and Feature Engineering, Implementation of Gradient Descent, Sub-gradient Descent, Newton Method, Quasi-Newton Method, LBFGS, Determinig Confidence Interval from Bernouli, Uniform and Normal Distribution,Dimensionality Reduction and Classification.
Basic Implementations of Optimization Algorithms
DFP method is studied.
The BFGS Algorithm is studied.
Numerical analysis functions in MATLAB for interpolation, approximation, differentiation, integration, and solving systems of nonlinear equations.
A matlab function for steepest descent optimization using Quasi Newton's method : BGFS & DFP
Implementation of Gradient Type Optimization Algorithms
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