Provided a function (written in natural mathematical notation), returns a maxima or minima.
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Updated
Dec 4, 2021 - Python
Provided a function (written in natural mathematical notation), returns a maxima or minima.
A comprehensive collection of optimization methods with focus on research.
A Python package integrating around ten unconstrained optimization algorithms, inclusive of 2D/3D visualizations for comparative analysis, and incorporated matrix operations.
Assignments in unconstrained optimization course covering 1st half of Nocedal and Wright textbook.
Algorithms in Statistical Machine Learning and Data Mining
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/
rosenbrock function optimization with four different methods (unconstrained optimization)
Estimating the 2-norm for a rectangular matrix (unconstrained approach) using two optimization algorithms: Standard gradient descent (steepest descent) method, and quasi-Newton method
Course Projects for Operations Research in USTC (2021 Fall).
Some numerical optimization method in Python
A CUTEst practical installer
Implementation of collection of test functions for UO(Unconstrained Optimization)
A set of Jupyter notebooks that investigate and compare the performance of several numerical optimization techniques, both unconstrained (univariate search, Powell's method and Gradient Descent (fixed step and optimal step)) and constrained (Exterior Penalty method).
This repository contains assignments completed in the course "Convex Optimisation" using python
numerical optimization subroutines in Fortran generated by ChatGPT-4
A repository of optimization algorithms implemented in Python & MATLAB for mathematical optimization problems. Algorithms such as Genetic Algorithm, PSO, linear programming, and etc.
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.
Benchmarking optimization solvers.
optimization techniques for data mining
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