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

R package for differential expression on count data with parameter bounds

Inclusive Kinematic Fit provides code to kinematically fit the four momenta of the tag-side B meson, the signal lepton and the inclusive X system in inclusive semi-leptonic B decays ast e+e- B factories like Belle II.

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

Algorithmic Methods in Non-Linear Programming

Extending Sparse Dictionary Learning Methods for Adversarial Robustness

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).

optimization techniques for data mining

Non-linear topology identification using Deep Learning. Sparsity (lasso) is enforced in the sensor connections. The non-convex and non-differentiable function is solved using sub-gradient descent algorithm.

Bound-constrained and nonlinear constrained global optimization via Differential Evolution

Implementation of various numerical and optimization algorithms in Julia.

A feasible-ratio control technique for constrained optimization

Respository for my Computer Aided Analysis and Design laboratory assignments

Python implementation of the Active-Set (1+1)-ES

Using Constrained LS, SVD analysis and PageRank to efficiently solve common problems

A lightweight, Augmented Lagrangian based quadratic program (QP) solver for Arduino Applications.

My exercises for my Optimization course