Abstract: In this article, we describe a deterministic optimization framework for the conceptual-stage design of aerodynamically-actuated wingsails. The primary objective of high-performance sailing ...

This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...

Abstract: This paper proposes a novel distributed power optimization framework using DC programming to enhance energy efficiency and interference management in wireless networks. Traditional power ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Group Relative Policy Optimization (GRPO) has significantly enhanced the reasoning capability of large language models by optimizing the arithmetic mean of token-level rewards. Unfortunately, GRPO is ...

Integer programming is a crucial branch of mathematical optimisation that focuses on problems where some or all decision variables are constrained to be integers. This field underpins many practical ...

SCI-TCI-Optimizer is an open-source Python application that computationally derives patient-specific sagittal condylar inclination (SCI) and transverse condylar inclination (TCI / Bennett angle) from ...

ABSTRACT: This study investigates the impact of marketing mix elements—Product, Price, Promotion, and Place (4Ps)—on the revenue and profit of Nigerian Breweries Plc (NBL) from 2013 to 2022, using ...