Foundations Optimization by Güler Osman (19 results)
Language: English
Published by Springer, 2010
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
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Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
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Language: English
Published by Springer, 2010
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
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Published by Springer New York, 2012
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
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Language: English
Published by Springer New York, 2010
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
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Language: English
Published by Springer-Verlag New York Inc., 2012
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
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Paperback. Condition: Brand New. 460 pages. 9.40x6.20x1.00 inches. In Stock.
Language: English
Published by Springer, 2012
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
- Softcover
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Taschenbuch. Condition: Neu. Foundations of Optimization | Osman Güler | Taschenbuch | Graduate Texts in Mathematics | xviii | Englisch | 2012 | Springer | EAN 9781461426479 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer Verlag, 2010
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
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Published by Springer New York, Springer US, 2012
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book gives a detailed and rigorous treatment of the theory of optimization (unconstrained optimization, nonlinear programming, semi-infinite programming, etc.) in finite-dimensional spaces. The fundamental results of convexity theory and the th…eory of duality in nonlinear programming and the theories of linear inequalities, convex polyhedra, and linear programming are covered in detail. Over two hundred, carefully selected exercises should help the students master the material of the book and give further insight. Some of the most basic results are proved in several independent ways in order to give flexibility to the instructor. A separate chapter gives extensive treatments of three of the most basic optimization algorithms (the steepest-descent method, Newton's method, the conjugate-gradient method). The first chapter of the book introduces the necessary differential calculus tools used in the book. Several chapters contain more advanced topics in optimization such as Ekeland's epsilon-variational principle, a deep and detailed study of separation properties of two or more convex sets in general vector spaces, Helly's theorem and its applications to optimization, etc. The book is suitable as a textbook for a first or second course in optimization at the graduate level. It is also suitable for self-study or as a reference book for advanced readers. The book grew out of author's experience in teaching a graduate level one-semester course a dozen times since 1993.Osman Guler is a Professor in the Department of Mathematics and Statistics at University of Maryland, Baltimore County. His research interests include mathematical programming, convex analysis, complexity of optimization problems, and operations research.
Language: English
Published by Springer New York, 2010
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended as a textbook to be used in a first graduate level course, and covers the fundamental principals of optimization in finite dimensions. It develops the necessary background material in multivariable calculus using coordinates as well…as in a coordinate-free manner, so that the recent developments such as semi-definite programming can be dealt with ease. All the standard topics of mathematical programming, such as necessary and sufficient optimality conditions for optimality, convex analysis and duality, are covered in great detail, often from multiple points of view. A distinctive feature of this book is its set of worked-out examples and problems, including hundreds of well-chosen problems and important examples. It will be of benefit for graduate students and researchers in optimization, operations research.
Language: English
Published by Springer, 2012
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
- Softcover
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Language: English
Published by Springer, 2010
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
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Language: English
Published by Springer-Verlag New York Inc., US, 2010
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
- Hardcover
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Hardback. Condition: New. 2010 ed.
Language: English
Published by Springer, 2010
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
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Language: English
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Language: English
Published by Springer, 2012
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
- Softcover
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Language: English
Published by Springer Nature Singapore Aug 2010, 2010
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
- Hardcover
- Print on Demand
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book gives a detailed and rigorous treatment of the theory of optimization (unconstrained optimization, nonlinear programming, semi-infinite programming, etc.) in finite-dimensional spaces. The fundamental results of convexity theory a…nd the theory of duality in nonlinear programming and the theories of linear inequalities, convex polyhedra, and linear programming are covered in detail. Over two hundred, carefully selected exercises should help the students master the material of the book and give further insight. Some of the most basic results are proved in several independent ways in order to give flexibility to the instructor. A separate chapter gives extensive treatments of three of the most basic optimization algorithms (the steepest-descent method, Newton's method, the conjugate-gradient method). The first chapter of the book introduces the necessary differential calculus tools used in the book. Several chapters contain more advanced topics in optimization such as Ekeland's epsilon-variational principle, a deep and detailed study of separation properties of two or more convex sets in general vector spaces, Helly's theorem and its applications to optimization, etc. The book is suitable as a textbook for a first or second course in optimization at the graduate level. It is also suitable for self-study or as a reference book for advanced readers. The book grew out of author's experience in teaching a graduate level one-semester course a dozen times since 1993.Osman Guler is a Professor in the Department of Mathematics and Statistics at University of Maryland, Baltimore County. His research interests include mathematical programming, convex analysis, complexity of optimization problems, and operations research. 442 pp. Englisch.
Language: English
Published by Springer New York Okt 2012, 2012
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book gives a detailed and rigorous treatment of the theory of optimization (unconstrained optimization, nonlinear programming, semi-infinite programming, etc.) in finite-dimensional spaces. The fundamental results of convexity t…heory and the theory of duality in nonlinear programming and the theories of linear inequalities, convex polyhedra, and linear programming are covered in detail. Over two hundred, carefully selected exercises should help the students master the material of the book and give further insight. Some of the most basic results are proved in several independent ways in order to give flexibility to the instructor. A separate chapter gives extensive treatments of three of the most basic optimization algorithms (the steepest-descent method, Newton's method, the conjugate-gradient method). The first chapter of the book introduces the necessary differential calculus tools used in the book. Several chapters contain more advanced topics in optimization such as Ekeland's epsilon-variational principle, a deep and detailed study of separation properties of two or more convex sets in general vector spaces, Helly's theorem and its applications to optimization, etc. The book is suitable as a textbook for a first or second course in optimization at the graduate level. It is also suitable for self-study or as a reference book for advanced readers. The book grew out of author's experience in teaching a graduate level one-semester course a dozen times since 1993.Osman Guler is a Professor in the Department of Mathematics and Statistics at University of Maryland, Baltimore County. His research interests include mathematical programming, convex analysis, complexity of optimization problems, and operations research. 460 pp. Englisch.
Language: English
Published by Springer, Springer Okt 2012, 2012
Series: Graduate Texts in Mathematics, Book 77 of 180. Book 77 of 180 - Graduate Texts in Mathematics
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is intended as a textbook to be used in a first graduate level course, and covers the fundamental principals of optimization in finite dimensions. It develops the necessary background material in multivariable calculus using c…oordinates as well as in a coordinate-free manner, so that the recent developments such as semi-definite programming can be dealt with ease. All the standard topics of mathematical programming, such as necessary and sufficient optimality conditions for optimality, convex analysis and duality, are covered in great detail, often from multiple points of view. A distinctive feature of this book is its set of worked-out examples and problems, including hundreds of well-chosen problems and important examples. It will be of benefit for graduate students and researchers in optimization, operations research.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 460 pp. Englisch.
