IEEE

Sequential Linear Programming With Adaptive Linearization Error Limits for All-Time Feasibility

Abstract: This letter presents an enhanced Trust Region Method (TRM) for Sequential Linear Programming (SLP) designed to improve the initial feasible solution to a constrained nonlinear programming ...
IEEE

Mixed-Integer Linear Programming Solvers for Local Grid Capacity Planning Problems

Abstract: The algorithms and software tools for solving large-scale NP-hard MILP (mixed-integer linear programming) problems are analyzed, specifically focusing on the modeling of electric power ...
GitHub

Codebase for paper Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation.

You can set up the environment using the environment.yml (the requirement is the same as [DDRM]: https://github.com/bahjat-kawar/ddrm). Run conda env create -f ...
GitHub

This repository contains problem statements and my implementations of solutions from the Object-Oriented Programming and Algorithms Lab, which I am currently taking under Prof ...

Problem Statements: Descriptions of the problems assigned in the lab. Solutions: My implementations of the problems, written in C++ . Additional Resources: Any ...