Optimization Methods in Mathematical Modeling of Technological Processes (eBook)

Alena Vagaská, Miroslav Gombár, Anton Panda (Autoren)

eBook Download: PDF

2023 | 2023
XVII, 170 Seiten
Springer Nature Switzerland (Verlag)
978-3-031-35339-0 (ISBN)

Infos

This book focuses on selected methods of applied mathematics that are aimed at mathematical optimization, with an emphasis on their application in engineering practice. It delves into the current mathematical modeling of processes and systems, with a specific focus on the optimization modeling of technological processes. The authors discuss suitable linear, convex, and nonlinear optimization methods for solving problems in engineering practice. Real-world examples and data are used to numerically illustrate the implementation of these methods, utilizing the popular MATLAB software system and its extension to convex optimization. The book covers a wide range of topics, including mathematical modeling, linear programming, convex programming, and nonlinear programming, all with an engineering optimization perspective. It serves as a comprehensive guide for engineers, researchers, and students interested in the practical application of optimization methods in engineering. 

Alena Vagaská, PhD, has 27 years of experience as pedagogue and scientist at the Technical University of Košice, Faculty of Manufacturing Technologies, Prešov, Slovak Republic. Her research focuses on applied mathematics, statistics, optimization, engineering manufacturing (and multidisciplinary), material sciences (multidisciplinary) and education/educational research. 

Miroslav Gombár, Ph.D, has over 25 years of experience in surface treatment engineering practice (in company aimed on surface treatment processes) and 15 years of experience in top management. He has been working as a teacher and scientist at several universities, such as Technical University in Košice and the University of Prešov in Prešov. His research focuses in engineering manufacturing (and multidisciplinary), material sciences (multidisciplinary), mechanical engineering, business and management, applied mathematics, statistics, optimization and education/educational research.

Anton Panda, Ph.D, is an associate professor of  manufacturing technologies, FMT TU Košice. He has about 30 years of experience in the engineering company supplying the products for demanding automotive, also farm and agricultural industry (constructor of special purpose machinery and equipment, systems analyst, head the department of development and technical preparation of production, methodist of statistical methods, commercial and technical director, director of quality). Since 2008 (since 1994 external), he operates as a pedagogue and scientist at the Faculty of Manufacturing Technologies TU Košice with the seat in Prešov, as well as an expert-coordinator (auditor) of quality management systems. He is recognized as an expert for the production of bearings in companies in Germany, Italy, China, Slovakia and Czech Republic. Since 2014, he is a member of the Polish Academy of Sciences. Since 2014, he is a member of the ASME, USA.

Produkt-Details

• Erscheint lt. Verlag: 20.7.2023
• Reihe/Serie: Mathematical Engineering
• Reihe/Serie: Mathematical Engineering
• Zusatzinfo: XVII, 170 p. 37 illus., 20 illus. in color.
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Chemie
• Themenwelt: Technik
• Schlagworte: Anodic aluminium oxidation • ANOVA • Applied mathematics • Cutting tools • Design of Experiments • Engineering Optimization • Linear Programming • Mathematical Modelling • Nonlinear and constrained optimization • Optimization Methods • Surface treatment processes • technological processes • Turning • Zincing process
• ISBN-10: 3-031-35339-0 / 3031353390
• ISBN-13: 978-3-031-35339-0 / 9783031353390