Business analytics with: optimization models / linear programming / non-linear programming / integer programming / goal programming / transportation modeling simulation / Marketing analytics with: ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...

Linear programming (LP) solvers are crucial tools in various fields like logistics, finance, and engineering, due to their ability to optimize complex problems involving constraints and objectives.

Microsoft Corp. is releasing a new version of Excel that will enable users to write and run Python code directly in the spreadsheet editor’s interface. Stefan Kinnestrand, a general manager for ...

Stratified mean-per-unit sampling is a key tool used by auditors. The popularity of this statistical procedure arises from its unique ability to produce trustworthy ...

Abstract: A Successive linear programming (SLP) approach is one of the favorable approaches for solving large scale nonlinear optimization problems. Solving an alternating current optimal power flow ...

1 Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France 2 Université Clermont Auvergne, INRAE, UMR UNH, Clermont-Ferrand, France Although plant proteins are often considered to have ...

Abstract: Transport model is an algorithm recognized and applied in logistics processes product distribution in organizations. The multiple forms of solution are algorithmically and technological, ...