Code for "A Distributed Buffering Drift-Plus-Penalty Algorithm for Coupling Constrained Optimization" (L-CSS 2023)
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Updated
Jun 9, 2025 - Python
Code for "A Distributed Buffering Drift-Plus-Penalty Algorithm for Coupling Constrained Optimization" (L-CSS 2023)
Numerics for the paper "Well-posedness and approximation of reflected McKean-Vlasov SDEs with applications"
Algorithmic Methods in Non-Linear Programming
CIMAT graduate course on optimization. Gradient methods, constraints, CG, BFGS, and real-world applications.
Numerical Optimization Algorithms(MECH 579) - Coding From Scratch
A tool to schedule TAs to lab/tutorial sections based on their availabiity
Optimization of traffic flow in a road network using MATLAB's Genetic Algorithm. Applied to a nonlinear objective function with equality constraints
Implementation of various numerical and optimization algorithms in Julia.
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
Extending Sparse Dictionary Learning Methods for Adversarial Robustness
Python implementation of the Active-Set (1+1)-ES
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
Bound-constrained and nonlinear constrained global optimization via Differential Evolution
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.
PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration
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