MATLAB implementations of a variety of nonlinear programming algorithms.

numerical optimization in pytorch

C++ implementation for Bundle Adjustment in 2-View

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.

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

2D bearing-only SLAM with least squares

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

collection of numerical optimization methods

Second order optimization with automatic differentiation

Different type of solvers to solve systems of nonlinear equations

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

Stochastic Second-Order Methods in JAX

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

Code to conduct experiments for the paper Regularization and acceleration of Gauss-Newton method.

Code to conduct experiments for the paper Modified Gauss-Newton method for solving a smooth system of nonlinear equations.

Code related to Optimization Techniques

Assignments in unconstrained optimization course covering 1st half of Nocedal and Wright textbook.