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 ...

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 ...

Este proyecto forma parte de la propuesta para el Genius Arena Hackathon 2025 de Talent Land, en el track "Production Planning: Linear Programming and automation through Python" presentado por Micron.

The Omega ratio is a recent performance measure. It captures both the downside and upside potentials of the constructed portfolio, while remaining consistent with utility maximization. In this paper, ...

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 ...

Highlights,Optimization Technique,– Used to maximize or minimize an objective function.,Subject to Constraints,– Works within predefined linear restrictions.,Wide Applications,– Used in business, ...

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 ...

Developed an optimization model for grocery store inventory management to determine optimal safety stock levels, reorder quantities, and ordering frequencies for dairy products and pantry staples.