Condition: good. Book may have little to no writing and or underlining inside, and is in overall good condition. Cover may have some cosmetic wear. Fast shipping!
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Condition: Fine. 4th edition, 559 pp., paperback, FINE. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Language: English
Published by Springer (edition Softcover reprint of the original 4th ed. 2016), 2016
ISBN 10: 3319374397 ISBN 13: 9783319374390
Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Softcover reprint of the original 4th ed. 2016.
Language: English
Published by Springer (edition 3rd), 2008
ISBN 10: 0387745025 ISBN 13: 9780387745022
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Fair. 3rd. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
hardcover. Condition: Very Good.
Hardcover. Condition: Good. 3rd. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: fourth ] Publisher: Springer Pub Date: 1/1/2015 Binding: paperback Pages: 546 fourth edition.
Hardcover. Condition: Good. Third Edition. Light bumping to top corners. Inventory sticker at base of spine, blackout marking along top end of textblock. Covers have faint surface scratches, nothing through the gloss finish. Moderate rubbing to cover surfaces. Otherwise in fine shape, the pages are smooth and clean and the binding is square and strong.
Paper Bound. Condition: Fine. Third Edition.
Language: English
Published by Springer (edition Softcover reprint of hardcover 3rd ed. 2008), 2010
ISBN 10: 1441945040 ISBN 13: 9781441945044
Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. Softcover reprint of hardcover 3rd ed. 2008.
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condition: As New. Unread book in perfect condition.
Condition: New.
Language: English
Published by Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030854523 ISBN 13: 9783030854522
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Fifth Edition 2021. The 5th edition of this classic textbook covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve that problem. End-of-chapter exercises are provided for all chapters. The material is organized into three separate parts. Part I offers a self-contained introduction to linear programming. The presentation in this part is fairly conventional, covering the main elements of the underlying theory of linear programming, many of the most effective numerical algorithms, and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms. This part of the book explores the general properties of algorithms and defines various notions of convergence. In turn, Part III extends the concepts developed in the second part to constrained optimization problems. Except for a few isolated sections, this part is also independent of Part I. As such, Parts II and III can easily be used without reading Part I and, in fact, the book has been used in this way at many universities. New to this edition are popular topics in data science and machine learning, such as the Markov Decision Process, Farkas' lemma, convergence speed analysis, duality theories and applications, various first-order methods, stochastic gradient method, mirror-descent method, Frank-Wolf method, ALM/ADMM method, interior trust-region method for non-convex optimization, distributionally robust optimization, online linear programming, semidefinite programming for sensor-network localization, and infeasibility detection for nonlinear optimization.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 49.41
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 62.62
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030854493 ISBN 13: 9783030854492
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. Fifth Edition 2021. The 5th edition of this classic textbook covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve that problem. End-of-chapter exercises are provided for all chapters. The material is organized into three separate parts. Part I offers a self-contained introduction to linear programming. The presentation in this part is fairly conventional, covering the main elements of the underlying theory of linear programming, many of the most effective numerical algorithms, and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms. This part of the book explores the general properties of algorithms and defines various notions of convergence. In turn, Part III extends the concepts developed in the second part to constrained optimization problems. Except for a few isolated sections, this part is also independent of Part I. As such, Parts II and III can easily be used without reading Part I and, in fact, the book has been used in this way at many universities. New to this edition are popular topics in data science and machine learning, such as the Markov Decision Process, Farkas' lemma, convergence speed analysis, duality theories and applications, various first-order methods, stochastic gradient method, mirror-descent method, Frank-Wolf method, ALM/ADMM method, interior trust-region method for non-convex optimization, distributionally robust optimization, online linear programming, semidefinite programming for sensor-network localization, and infeasibility detection for nonlinear optimization.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 75.83
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 80.91
Quantity: Over 20 available
Add to basketCondition: New. In English.