Concise Guide to Optimization Models and Methods

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Release : 2022
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Book Rating : 189/5 ( reviews)

Concise Guide to Optimization Models and Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Concise Guide to Optimization Models and Methods write by Xian Wen Ng. This book was released on 2022. Concise Guide to Optimization Models and Methods available in PDF, EPUB and Kindle. This concise text contains the most commonly-encountered examination problems in the topic of Optimization Models and Methods, an important module in engineering and other disciplines where there exists an increasing need to operate optimally and sustainably under constraints, such as tighter resource availability, environmental consideration, and cost pressures. This book is comprehensive in coverage as it includes a diverse spectrum of problems from numerical open-ended questions that probe creative thinking to the relation of concepts to realistic settings. The book adopts many examples of design scenarios as context for curating sample problems. This will help students relate desktop problem-solving to tackling real-world problems. Succinct yet rigorous, with over a 100 pages of problems and corresponding worked solutions presented in detail, the book is ideal for students of engineering, applied science, and market analysis.

Concise Guide to Optimization Models and Methods

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Release : 2021-11-24
Genre : Technology & Engineering
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Book Rating : 17X/5 ( reviews)

Concise Guide to Optimization Models and Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Concise Guide to Optimization Models and Methods write by Xian Wen Ng. This book was released on 2021-11-24. Concise Guide to Optimization Models and Methods available in PDF, EPUB and Kindle. This concise text contains the most commonly-encountered examination problems in the topic of Optimization Models and Methods, an important module in engineering and other disciplines where there exists an increasing need to operate optimally and sustainably under constraints, such as tighter resource availability, environmental consideration, and cost pressures. This book is comprehensive in coverage as it includes a diverse spectrum of problems from numerical open-ended questions that probe creative thinking to the relation of concepts to realistic settings. The book adopts many examples of design scenarios as context for curating sample problems. This will help students relate desktop problem-solving to tackling real-world problems. Succinct yet rigorous, with over a 100 pages of problems and corresponding worked solutions presented in detail, the book is ideal for students of engineering, applied science, and market analysis.

Optimization in Engineering

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Release : 2017-06-24
Genre : Mathematics
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Book Rating : 691/5 ( reviews)

Optimization in Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization in Engineering write by Ramteen Sioshansi. This book was released on 2017-06-24. Optimization in Engineering available in PDF, EPUB and Kindle. This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems. The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.

Nonlinear Optimization

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Release : 2020-12-08
Genre : Mathematics
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Book Rating : 925/5 ( reviews)

Nonlinear Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nonlinear Optimization write by William P. Fox. This book was released on 2020-12-08. Nonlinear Optimization available in PDF, EPUB and Kindle. Optimization is the act of obtaining the "best" result under given circumstances. In design, construction, and maintenance of any engineering system, engineers must make technological and managerial decisions to minimize either the effort or cost required or to maximize benefits. There is no single method available for solving all optimization problems efficiently. Several optimization methods have been developed for different types of problems. The optimum-seeking methods are mathematical programming techniques (specifically, nonlinear programming techniques). Nonlinear Optimization: Models and Applications presents the concepts in several ways to foster understanding. Geometric interpretation: is used to re-enforce the concepts and to foster understanding of the mathematical procedures. The student sees that many problems can be analyzed, and approximate solutions found before analytical solutions techniques are applied. Numerical approximations: early on, the student is exposed to numerical techniques. These numerical procedures are algorithmic and iterative. Worksheets are provided in Excel, MATLAB®, and MapleTM to facilitate the procedure. Algorithms: all algorithms are provided with a step-by-step format. Examples follow the summary to illustrate its use and application. Nonlinear Optimization: Models and Applications: Emphasizes process and interpretation throughout Presents a general classification of optimization problems Addresses situations that lead to models illustrating many types of optimization problems Emphasizes model formulations Addresses a special class of problems that can be solved using only elementary calculus Emphasizes model solution and model sensitivity analysis About the author: William P. Fox is an emeritus professor in the Department of Defense Analysis at the Naval Postgraduate School. He received his Ph.D. at Clemson University and has taught at the United States Military Academy and at Francis Marion University where he was the chair of mathematics. He has written many publications, including over 20 books and over 150 journal articles. Currently, he is an adjunct professor in the Department of Mathematics at the College of William and Mary. He is the emeritus director of both the High School Mathematical Contest in Modeling and the Mathematical Contest in Modeling.

Optimization Methods in Mathematical Modeling of Technological Processes

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Release : 2023-07-20
Genre : Technology & Engineering
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Book Rating : 390/5 ( reviews)

Optimization Methods in Mathematical Modeling of Technological Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization Methods in Mathematical Modeling of Technological Processes write by Alena Vagaská. This book was released on 2023-07-20. Optimization Methods in Mathematical Modeling of Technological Processes available in PDF, EPUB and Kindle. 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.