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 ...

Deciding how best to use limited resources is a universal issue that spares no individual or business. In today’s competitive quarter-to quarter environment, it’s critically important to your ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...

This project demonstrates solving a business optimization problem using linear programming techniques with Python's PuLP library. The project focuses on a production planning optimization problem.

Abstract: Energy optimization is a major issue in wireless sensors networks (WSNs) due to its direct impact on the network's lifetime. This paper proposes the use of the K-means algorithm combined ...

DUBLIN--(BUSINESS WIRE)--Research and Markets(http://www.researchandmarkets.com/research/799091/deterministic_oper) has announced the addition of John Wiley and Sons ...

In the original article there was also an error in reference [47]. The reference for [47] was incorrectly written as “Maillot M, Darmon N, Drewnowski A. Are he ...

To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance ...