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Book by Gler Osman
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This book covers the fundamental principles of optimization in finite dimensions. It develops the necessary material in multivariable calculus both with coordinates and coordinate-free, so recent developments such as semidefinite programming can be dealt with.
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 theory of
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- ÉditeurSpringer
- Date d'édition2012
- ISBN 10 1461426472
- ISBN 13 9781461426479
- ReliureBroché
- Nombre de pages460
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Foundations of Optimization
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Springer New York Okt 2012
(2012)
ISBN 10 : 1461426472
ISBN 13 : 9781461426479
Neuf
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Description du livre Taschenbuch. Etat : 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 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. N° de réf. du vendeur 9781461426479
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Foundations of Optimization
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(2012)
ISBN 10 : 1461426472
ISBN 13 : 9781461426479
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Description du livre Etat : New. pp. 460. N° de réf. du vendeur 2651414090
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Foundations of Optimization
Edité par
Springer New York
(2012)
ISBN 10 : 1461426472
ISBN 13 : 9781461426479
Neuf
Taschenbuch
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Description du livre Taschenbuch. Etat : 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 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. N° de réf. du vendeur 9781461426479
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Foundations of Optimization
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ISBN 10 : 1461426472
ISBN 13 : 9781461426479
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Description du livre Etat : New. Print on Demand pp. 460 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. N° de réf. du vendeur 57097109
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Description du livre Etat : New. N° de réf. du vendeur 4197642
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Foundations of Optimization (Graduate Texts in Mathematics, 258)
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Description du livre Etat : New. Buy with confidence! Book is in new, never-used condition 0.85. N° de réf. du vendeur bk1461426472xvz189zvxnew
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Foundations of Optimization (Graduate Texts in Mathematics)
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Springer-Verlag New York Inc.
(2012)
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Description du livre Paperback. Etat : Brand New. 460 pages. 9.40x6.20x1.00 inches. In Stock. N° de réf. du vendeur 1461426472
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