Practical Methods of Optimization

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Release : 2013-06-06
Genre : Mathematics
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Book Rating : 18X/5 ( reviews)

Practical Methods of 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 Practical Methods of Optimization write by R. Fletcher. This book was released on 2013-06-06. Practical Methods of Optimization available in PDF, EPUB and Kindle. Fully describes optimization methods that are currently most valuable in solving real-life problems. Since optimization has applications in almost every branch of science and technology, the text emphasizes their practical aspects in conjunction with the heuristics useful in making them perform more reliably and efficiently. To this end, it presents comparative numerical studies to give readers a feel for possibile applications and to illustrate the problems in assessing evidence. Also provides theoretical background which provides insights into how methods are derived. This edition offers revised coverage of basic theory and standard techniques, with updated discussions of line search methods, Newton and quasi-Newton methods, and conjugate direction methods, as well as a comprehensive treatment of restricted step or trust region methods not commonly found in the literature. Also includes recent developments in hybrid methods for nonlinear least squares; an extended discussion of linear programming, with new methods for stable updating of LU factors; and a completely new section on network programming. Chapters include computer subroutines, worked examples, and study questions.

Practical Optimization

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Release : 2019-12-16
Genre : Mathematics
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Book Rating : 603/5 ( reviews)

Practical 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 Practical Optimization write by Philip E. Gill. This book was released on 2019-12-16. Practical Optimization available in PDF, EPUB and Kindle. In the intervening years since this book was published in 1981, the field of optimization has been exceptionally lively. This fertility has involved not only progress in theory, but also faster numerical algorithms and extensions into unexpected or previously unknown areas such as semidefinite programming. Despite these changes, many of the important principles and much of the intuition can be found in this Classics version of Practical Optimization. This book provides model algorithms and pseudocode, useful tools for users who prefer to write their own code as well as for those who want to understand externally provided code. It presents algorithms in a step-by-step format, revealing the overall structure of the underlying procedures and thereby allowing a high-level perspective on the fundamental differences. And it contains a wealth of techniques and strategies that are well suited for optimization in the twenty-first century, and particularly in the now-flourishing fields of data science, “big data,” and machine learning. Practical Optimization is appropriate for advanced undergraduates, graduate students, and researchers interested in methods for solving optimization problems.

Practical Optimization with MATLAB

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Release : 2019-10-03
Genre : Mathematics
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Book Rating : 987/5 ( reviews)

Practical Optimization with MATLAB - 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 Practical Optimization with MATLAB write by Mircea Ancău. This book was released on 2019-10-03. Practical Optimization with MATLAB available in PDF, EPUB and Kindle. This easy-to-follow guide provides academics and industrial engineers with a state-of-the-art numerical approach to the most frequent technical and economical optimization methods. In an engaging manner, it provides the reader with not only a systematic and comprehensive study, but also with necessary and directly implementable code written in the versatile and readily available platform Matlab. The book offers optimization methods for univariate and multivariate constrained or unconstrained functions, general optimization methods and multicriteria optimization methods; provides intuitively, step-by-step explained sample Matlab code, that can be easily adjusted to meet individual requirements; and uses a clear, concise presentation style, which will be suited to readers even without a programming background, as well as to students preparing for examinations in optimization methods.

Practical Optimization

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Release : 2007-03-12
Genre : Computers
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Book Rating : 066/5 ( reviews)

Practical 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 Practical Optimization write by Andreas Antoniou. This book was released on 2007-03-12. Practical Optimization available in PDF, EPUB and Kindle. Practical Optimization: Algorithms and Engineering Applications is a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

Practical Optimization Methods

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Release : 2012-12-06
Genre : Technology & Engineering
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Book Rating : 018/5 ( reviews)

Practical Optimization 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 Practical Optimization Methods write by M. Asghar Bhatti. This book was released on 2012-12-06. Practical Optimization Methods available in PDF, EPUB and Kindle. This introductory textbook adopts a practical and intuitive approach, rather than emphasizing mathematical rigor. Computationally oriented books in this area generally present algorithms alone, and expect readers to perform computations by hand, and are often written in traditional computer languages, such as Basic, Fortran or Pascal. This book, on the other hand, is the first text to use Mathematica to develop a thorough understanding of optimization algorithms, fully exploiting Mathematica's symbolic, numerical and graphic capabilities.