The goal of liu.lab4.algorithms is to provide an R implementation of a multiple linear regression mode. This package was created for Lab 4 in the course 732A94 Advanced R Programming at Linköping ...

Abstract: Optimal Power Flow (OPF) is a constrained, high-dimensional, non-convex nonlinear programming problem that typically has multiple local optimal solutions. To address the issue where most ...

Abstract: Nonlinear Dynamics, Volume 1: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics, 2018, the first volume of nine from the Conference brings together ...

Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...

Artificial Intelligence is reshaping the future of investing by turning data into actionable insights. From predicting market ...

What drew me to Fitbod initially was its promise of efficient, customized workouts. As someone juggling 30+ mile weeks with a full-time job, I didn't have hours to spend in the gym figuring out what ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

Alan Turing and John von Neumann saw it early: the logic of life and the logic of code may be one and the same.

TensorOpt is a framework-agnostic tensor-based optimization system designed for complex engineering applications. It provides an intuitive interface for defining multi-dimensional optimization ...

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...

ECE vs CSE: Aspiring engineers must make the crucial choice between Computer Science and Engineering (CSE) and Electronics and Communication Engineering (ECE). Despite the fact that both disciplines ...