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: Existing dependent task offloading approaches mainly rely on centralized algorithms and are typically constrained to single-objective optimization. In addition, offloading fairness among fog ...
Abstract: We propose a GPU-accelerated distributed optimization algorithm for controlling multi-phase optimal power flow in active distribution systems with dynamically changing topologies. To handle ...
Welcome to your ultimate resource to systematically master Data Structures and Algorithms (DSA) — thoughtfully crafted to guide learners from programming fundamentals to advanced system design and AI ...
This repository serves as a comprehensive guide for students preparing for the GATE Data Science (DA) examination. You can access notes for each subject, revise core concepts, and practice problems ...