Multi-Level Mixed-Integer Optimization - (De Gruyter Textbook) by Styliani Avraamidou & Efstratios Pistikopoulos (Paperback)
About this item
Highlights
- This book provides the fundamental underlying mathematical theory, numerical algorithms and effi cient computational tools for the solution of multi-level mixedinteger optimization problems.
- About the Author: Styliani Avraamidou is an Assistant Professor at the Department of Chemical & Biological Engineering at University of Wisconsin-Madison.
- 154 Pages
- Technology, Chemical & Biochemical
- Series Name: de Gruyter Textbook
Description
About the Book
This book provides the fundamental underlying mathematical theory, numerical algorithms and efficient computational tools for the solution of multi-parametric and stochastic mixed integer optimization problems. It enables process engineers to analyzBook Synopsis
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.
About the Author
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.