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Informationen zum Autor 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. Klappentext Tackle challenging optimization problems with MATLAB® software Optimization techniques measure the minimum or maximum value of a given function depending on circumstances, constraints, and key factors. Engineering processes pertaining to design or manufacture involve optimization techniques at every stage, designed to minimize resource expenditure and maximize outcomes. Optimization problems can be challenging and computationally intensive, but the increasingly widely-used MATLAB platform offers numerous tools enabling engineers to tackle these essential elements of process and industrial design. Chemical Engineering Analysis and Optimization Using MATLAB® introduces cutting-edge, highly in-demand skills in computer-aided design and optimization. With a focus on chemical engineering analysis, the book uses the MATLAB platform to develop reader skills in programming, modeling, and more. It provides an overview of some of the most essential tools in modern engineering design. Chemical Engineering Analysis and Optimization Using MATLAB® readers will also find: Case studies for developing specific skills in MATLAB and beyondExamples of code both within the text and on a companion websiteEnd-of-chapter problems with an accompanying solutions manual for instructors This textbook is ideal for advanced undergraduate and graduate students in chemical engineering and related disciplines, as well as professionals with backgrounds in engineering design. Inhaltsverzeichnis Preface xi About the Companion Website xiii 1 Introduction to Modeling 1 1.1 Numerical Methods 3 1.1.1 Linear vs. Nonlinear Equations 5 1.1.2 Standard Features of Numerical Methods 6 1.1.3 Significant Figures and Computer Round-Off Error 7 1.2 Mathematical Model Building 12 1.2.1 Laws of Conservation 14 1.2.2 Lumped vs. Distributed Systems 16 1.2.3 Degrees of Freedom 23 1.2.4 Dimensionless Equations 23 1.2.5 Stochastic vs. Deterministic Modeling 24 1.2.6 Model Verification and Validation 24 1.3 Expert Problem-Solvers 25 2 MATLAB Skill Preparation 27 2.1 Introduction 27 2.1.1 MATLAB User Interface 27 2.1.2 MATLAB File Extensions 29 2.2 Some Useful MATLAB Commands and Functions 33 2.2.1 MATLAB Commands 33 2.2.2 MATLAB Functions 33 2.3 Vector and Matrix Operations 39 2.3.1 Vector Operations 39 2.3.2 Matrix Operations 40 2.4 Loops & Conditional Statements 42 2.5 Solving Equations 43 2.5.1 Linear and Nonlinear Equations and Systems 44 2.6 Optimization Toolbox 46 2.6.1 Minimization vs. Maximization Problems 46 2.6.2 Optimization Solvers 46 Problems 49 3 Model Fitting and Spline Functions 51 3.1 Introduction 51 3.1.1 Linear Equations 52 3.1.1.1 Linear Models 52 3.1.1....
