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Intended for advanced undergraduate/graduate students as well as scientists and engineers, this textbook presents a multi-disciplinary view of optimization, providing a thorough examination of algorithms, methods, techniques, and tools from diverse areas of optimization. Linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control, and stochastic optimal control are introduced in each self-contained chapter, with exercises, examples, and case studies, the true gems of this text. This third edition includes additional content in each chapter designed to clarify or enhance the exposition, and update methodologies and solutions. A new real-world case study related to sustainability is added in Chapters 2—7. GAMS, AIMMS, and MATLAB® files of case studies for Chapters 2, 3, 4, 5, and 7 are freely accessible electronically as extra source materials. A solutions manual is available to instructors who adopt the textbook for their course. From the reviews: This work is definitely a welcome addition to the existing optimization literature, given its emphasis on modeling and solution practice, as well as its ‘user-friendly’ style of exposition. — János D. Pintér, European Journal of Operations Research, Vol. 177, 2007 Urmila Diwekar’s book on applied optimization is one of the few books on the subject that combines impressive breadth of coverage with delightful readability. In her exposition of concepts and algorithms in the major areas of optimization, she always goes to the heart of the matter and illustrates her explanations with simple diagrams and numerical examples. Graduate and undergraduate students, who constitute part of the target audience, should find this a very useful book. — Jamshed A. Modi, Interfaces, Vol. 36 (1), 2006 Optimization is a rich field with a strong history; this book nicely introduces both, moving from very introductory material to challenging techniques toward the end … Examples range from quite simplistic through realistic difficult scheduling problems. Some examples resurface in different chapter with twists to demonstrate how different techniques are required for differing data and constraints. — CHOICE, September 2004.

Mathematical optimization. --- Applied mathematics. --- Engineering mathematics. --- Operations research. --- Decision making. --- Calculus of variations. --- System theory. --- Optimization. --- Mathematical and Computational Engineering. --- Operations Research/Decision Theory. --- Calculus of Variations and Optimal Control; Optimization. --- Systems Theory, Control. --- Systems, Theory of --- Systems science --- Science --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Engineering --- Engineering analysis --- Mathematical analysis --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Operations research --- Simulation methods --- System analysis --- Philosophy --- Decision making --- Mathematics

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"Most available books in chemical engineering mainly pertain to continuous processes, with batch distillation relegated to a small section. Filling this void in the chemical engineering literature, Batch Distillation: Simulation, Optimal Design, and Control, Second Edition helps readers gain a solid, hands-on background in batch processing. The second edition of this bestseller explores numerous new developments in batch distillation that have emerged since the publication of the first edition.New to the Second EditionSpecial sections on complex column configurations and azeotropic, extractive, and reactive distillationA chapter on various kinds of uncertainties in batch distillation A chapter covering software packages for batch distillation simulation, design, optimization, and controlSeparate chapters on complex columns and complex systems Up-to-date references and coverage of recent research articlesThis edition continues to explain how to effectively design, synthesize, and make operations decisions related to batch processes. Through careful treatments of uncertainty analysis, optimization, and optimal control methods, the author gives readers the necessary tools for making the best decisions in practice. While primarily designed for a graduate course in batch distillation, the text can also be used in undergraduate chemical engineering courses. In addition, researchers and academics faced with batch distillation research problems and practicing chemical engineers tackling problems in actual day-to-day operations will find the book to be a useful reference source"--Provided by publisher. "PREFACE The recent increase in the production of high value-added, low-volume specialty chemicals and biochemicals has generated a renewed interest in batch processing technologies. Batch distillation is an important unit operation in the batch processing industry and is widely used. The flexibility of batch distillation combined with the inherent unsteady nature of the process poses challenging design and operation problems. In view of the practical importance and in response to industrial needs for chemical engineers with a strong background in batch processing, more and more educational institutions are redesigning their curricula to include courses devoted to the subject. From both academic and industrial standpoints, therefore, a book dedicated to the subject of batch distillation is of much significance, which is the motivation for the present undertaking. Since the existing books in chemical engineering pertain mainly to continuous processes, with the subject of batch distillation being relegated to only a small section, the book fills an important void in chemical engineering literature. The book features the following: (a) it introduces the various operating modes in detail, (b) it examines the challenges involved in a rigorous modeling of batch distillation column dynamics, (c) it provides a hierarchy of models of varying complexity and rigor, (d) it presents approaches to optimal design of batch distillation columns and highlight the differences vis-a-vis continuous columns, (e) it describes optimal control problems in batch distillation, and (f) it discusses analysis and synthesis of columns with complex thermodynamics, and complex, unconventional column configurations In addition to presenting an overview of batch distillation design, operation,"--Provided by publisher.

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Sustainability: Multi-Disciplinary Perspectives discusses multidisciplinary aspects of the salient concepts, principles, and methods relevant to sustainability in a coherent and comprehensive manner. Topics covered range from green engineering and sustainability metrics to infrastructure and environmental policy.

Biodiversity -- Climatic factors. --- Social ecology. --- Sustainability. --- Business & Economics --- Economic History --- Ecology, Social --- Environment, Human --- Human ecology (Social sciences) --- Human environment --- Sustainability science --- Social sciences --- Human ecology --- Social ecology --- Sustainability --- E-books