Exact methods for solving the The Minimum-Cost Bounded-Error Calibration Tree problem

This repository contains assignments completed in the course "Convex Optimisation" using python

Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm

R package for differential expression on count data with parameter bounds

This is an implementation of a constrained optimisation problem using Zoutendijk Algorithm

This is an implementation of Interior Penalty Method also referred to as Barrier Method

An exploration of using FBA to engineer E. coli's metabolism in Julia

Solver for minimization problems over the l1-ball

Optimal Design of a Permanent Magnet Synchronous Motor Using the Cultural Algorithm

fairness constraint with Tensorflow Constrained Optimization in the context of InDian jobs

Algorithmic Methods in Non-Linear Programming

Constrained Optimization: Point of Dispense distribution under large scale health emergencies for Allegheny County modeled as Two-Stage Stochastic Optimization

Leopard is a fast, modern implementation of sparse, multifrontal symmetric indefinite matrix factorization.

Extending Sparse Dictionary Learning Methods for Adversarial Robustness

A simple Python-3 implementation of the derivative-free Torczon algorithm for nonlinear constrained 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).

Implementation of the Simplex algorithm for solving linear programs.

Personal notes and projects on many different Data Science related areas

Tensorflow constrained optimization with different Deep Learning Models

Code to reproduce the experiments of "Compression-aware Training of Neural Networks using Frank-Wolfe"