Abstract: This research explores the optimal power flow problem in a closed-loop network in south-eastern part of Bangladesh, consisting of six regions connected by transmission lines and using seven ...

Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At its ...

Abstract: In this study, a novel optimal tracker is developed for the linear quadratic tracking (LQT) problem using an output–feedback adaptive dynamic programming (ADP) framework. By leveraging the ...

Software engineering is the branch of computer science that deals with the design, development, testing, and maintenance of software applications. Software engineers apply engineering principles and ...

MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...

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