Multi-level Mixed-Integer Optimization - Parametric Programming Approach

This book provides the fundamental underlying mathematical theory, numerical algorithms and effi cient computational tools for the solution of multi-level mixedinteger optimization problems. It can enable a vast array of decision makers and engineers (e.g. process engineers, bioengineers, chemical and civil engineers, and economists) to model, formulate and solve hierarchical decision making problems. The book gives detailed insights on multi-level optimization by comprehensive explanations, step-by-step numerical examples and case studies, plots, and diagrams.

Info autore

Styliani Avraamidou


is an Assistant Professor at the Department of Chemical & Biological Engineering at University of Wisconsin-Madison. Her research focus is on multi-level and robust optimization for sustainable systems.
Efstratios Pistikopoulos


is the Dow Chemical Chair Professor at the Department of Chemical Engineering at Texas A&M University and the Director of Texas A&M Energy Institute. He is a pioneer of multiparametric optimization & control.

Dettagli sul prodotto

• Autori: Stylian Avraamidou, Styliani Avraamidou, Efstratios Pistikopoulos
• Editore: De Gruyter
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 06.06.2022
• EAN: 9783110760309
• ISBN: 978-3-11-076030-9
• Pagine: 144
• Dimensioni: 165 mm x 18 mm x 245 mm
• Peso: 273 g
• Illustrazioni: 33 b/w and 14 col. ill., 76 b/w and 0 col. tbl.
• Serie: De Gruyter Textbook
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tecnica chimica; Verfahrenstechnik, Technische Chemie, it, Prozessoptimierung, informationstechnologie, Technologie / Informationstechnologie, Verfahren (chemisch) - Verfahrenstechnik, Chemical Engineering, Industrial Chemistry, Process Engineering, Chemieingenieurwesen, Process optimisation