There are 0 repository under quasi-newton topic.
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Nonlinear Equation Solver with Modern Fortran
A library that provides routines to compute the solutions to systems of nonlinear equations.
Unconstrained optimization algorithms in python, line search and trust region methods
(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)
Optimization algorithms for inverse problems.
Trust-region methods with partitioned quasi-Newton approximations
Index of different Optimization Methods
A matlab function for steepest descent optimization using Quasi Newton's method : BGFS & DFP
Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani
Newton’s second-order optimization methods in python
Quasistatic Fracture using Nonlinear-Nonlocal Elastostatics with an Explicit Tangent Stiffness Matrix
The BFGS Algorithm is studied.
Repository for project report of numerical analysis course assignment in Faculty of Computer Science UI
Implementation of the vc-sqnm and sqnm optimization algorithms in C++
Repository for machine learning problems implemented in python
This was a project case study on nonlinear optimization. We implemented the Stochastic Quasi-Newton method, the Stochastic Proximal Gradient method and applied both to a dictionary learning problem.
Implementation of the quasi Cauchy optimizer, an optimization method from the quasi Newton family. It uses a diagonal approximation of the Hessian and therefore has a small memory footprint.
Numerical analysis functions in MATLAB for interpolation, approximation, differentiation, integration, and solving systems of nonlinear equations.
Implementation of Unconstrained minimization algorithms. These are listed below:
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.
Quasi-Newton optimization methods for Deep Learning using PyTorch-Optimizer interface.
DFP method is studied.
Binary Logistic Regression Analysis using the Broyden-Fletcher-Goldfarb-Shanno Algorithm on the Quasi-Newton Method
Basic Implementations of Optimization Algorithms
Master 1 student work on " Non linear optimisation"
Material from the course of Static and Dynamic Optimization at ENSEM - Université de Lorraine.
R function bfgs( ) implementing the BFGS quasi-Newton minimization method
Implementation of a few optimization algorithms