Chemical engineering analysis and optimization using MATLAB / Weiguo Xie, Sam Toan, Richard Davis.
By: Xie, Weiguo [author.]
Contributor(s): Toan, Sam [author.] | Davis, Richard (Professor of chemical engineering) [author.]
Language: English Publisher: Hoboken, New Jersey : Wiley, 2025Description: xiii, 338 pages : illustrations ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781394205363Subject(s): MATLAB | Chemical engineering -- Mathematics | Mathematical optimizationDDC classification: 660.01/5118 LOC classification: TP149Summary: "The primary focus of using optimization techniques is to measure the maximum or minimum value of a function depending on the circumstances. Any engineering discipline involving design, maintenance and manufacturing requires certain technical decisions to be taken at different stages. The primary outcome of taking these decisions is to maximize the profit with minimum utilization of resources. Optimization and data science problems are typically computationally intensive and nowadays many students have access to multiple CPU cores on their local computers or they access cloud computing services. MATLAB is a programming and numeric computing platform to analyze data, develop algorithms, and create models. It is a software highly used among engineers and scientists for scientific computation and offers many built-in tools to solve optimization problems easily."-- Provided by publisher.| Item type | Current location | Home library | Call number | Copy number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY SUBJECT REFERENCE | 660.015118 X4 2025 (Browse shelf) | c.1 | Available | CITU-CL-55977 | ||
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COLLEGE LIBRARY | COLLEGE LIBRARY SUBJECT REFERENCE | 660.015118 X4 2025 (Browse shelf) | c.2 | Available | CITU-CL-56135 |
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| 660.0151 C979 2008 Problem solving in chemical and biochemical engineering with POLYMATH, Excel, and MATLAB / | 660.0151 C979 2008 Problem solving in chemical and biochemical engineering with POLYMATH, Excel, and MATLAB / | 660.015118 X4 2025 Chemical engineering analysis and optimization using MATLAB / | 660.015118 X4 2025 Chemical engineering analysis and optimization using MATLAB / | 660.0212 L848 2016 Applied mathematical methods for chemical engineers / | 660.0212 Sp32 2003 Perry's standard tables and formulas for chemical engineers / | 660.0212 Sp32 2003 Perry's standard tables and formulas for chemical engineers / |
Includes bibliographical references and index.
"The primary focus of using optimization techniques is to measure the maximum or minimum value of a function depending on the circumstances. Any engineering discipline involving design, maintenance and manufacturing requires certain technical decisions to be taken at different stages. The primary outcome of taking these decisions is to maximize the profit with minimum utilization of resources. Optimization and data science problems are typically computationally intensive and nowadays many students have access to multiple CPU cores on their local computers or they access cloud computing services. MATLAB is a programming and numeric computing platform to analyze data, develop algorithms, and create models. It is a software highly used among engineers and scientists for scientific computation and offers many built-in tools to solve optimization problems easily."-- Provided by publisher.
About the Author
Weiguo Xie, PhD, is a Professor of Chemical Engineering at the University of Minnesota, Duluth, MN, USA. He has previously held faculty appointments in UK and Australian universities. He has authored over 100 scientific publications, with particular expertise in mathematical modeling, simulation, optimization, and related subjects.
Sam Toan, PhD, is an Associate Professor of Chemical Engineering at the University of Minnesota, Duluth, MN, USA. He has nearly a decade of experience teaching engineering courses focused on MATLAB and has authored over 60 scientific publications.
Richard Davis, PhD, is a Jean G. Blehart Distinguished Professor of Chemical Engineering at the University of Minnesota, Duluth, MN, USA. He has over three decades of experience teaching and researching computational methods, focusing on process modeling and simulation, energy conversion, chemical process safety, and environmental management.
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