My undergraduate research project with John D. Carter that implements the nontrivial time-periodic solution computer for the Whitham equation. Algorithm provided by David Ambrose & Jon Wilkening (2010).

This repo contains the codes for the project in UGP - II (CS 396)

Implementation of a Neural Network with L-BFGS with Line Search and Gradient Descent with Momentum for numerical optimization purposes

Lightning-Fast Template-free Protein Folding based on Predicted Residue Contacts and Secondary Structure

Stochastic Quasi-Newton Methods in a Trust Region Framework (MATLAB implementation)

Python machine learning library using powerful numerical optimization methods.

Large-scale Bound-constrained Optimization

R Package for Unconstrained Numerical Optimization

Adjoint-state based AVO Inversion Method

A minimal Implementation of VGG16 Deep Learning Model in Python using L-BFGS to perform Image Styling/Blending

C++ L-BFGS implementation using plain STL

OptimKit: A blissfully ignorant Julia package for gradient optimization

LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.

A header-only C++ library for L-BFGS and L-BFGS-B algorithms

A large scale non-linear optimization library