MATLAB implementations of a variety of nonlinear programming algorithms.

numerical optimization in pytorch

C++ implementation for Bundle Adjustment in 2-View

JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.

Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.

C++ implementation of Lucas-Kanade-Image-Alignment

MATGRID is an easy-to-use power system simulation tool for researchers and educators provided as a MATLAB package.

Developed and implemented 2D and 3D Pose Graph SLAM using the GTSAM library and Gauss Newton Solver on the Intel and Parking Garage g2o datasets respectively

collection of numerical optimization methods

2D bearing-only SLAM with least squares

Second order optimization with automatic differentiation

Redbird - A Model-Based Diffuse Optical Imaging Toolbox

An efficient and easy-to-use Theano implementation of the stochastic Gauss-Newton method for training deep neural networks.

Different type of solvers to solve systems of nonlinear equations

Stochastic Second-Order Methods in JAX

A C++ library for solving nonlinear least squares problems using Gradient Descent, Gauss-Newton and Levenberg-Marquardt solvers

MATLAB/Octave code and data for implementing the algorithms and reproducing the results of the paper: "Efficient Incremental SLAM via Information-Guided and Selective Optimization"

[Optimization Algorithms] Implementation of Nonlinear least square curve fitting using the Gauss-Newton method and Armijio’s line search.

Code related to Optimization Techniques