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David G. Luenberger

Published by Addison Wesley Publishing Company (1973)

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Company, 1973. Condition: Good. 2nd Edition. Ships from Reno, NV. Shows some signs of wear, and may have some markings on the inside. Seller Inventory # GRP90988928

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David G. Luenberger

Published by Addison-Wesley Longman, Incorporated

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison-Wesley Longman, Incorporated. Hardcover. Condition: Good. Book has some visible wear on the binding, cover, pages. Seller Inventory # G0201043475I3N00

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David G. Luenberger

Published by Addison-Wesley Longman, Incorporated

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison-Wesley Longman, Incorporated. Hardcover. Condition: Good. Book has a small amount of wear visible on the binding, cover, pages. Seller Inventory # G0201043475I3N00

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Luenberger, David G.

Published by Addison Wesley Publishing Company

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Company. Hardcover. Condition: Good. 0201043475 Meets the good condition guidelines. Has wear. Five star seller - Buy with confidence!. Seller Inventory # Z0201043475Z3

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Luenberger, David G.

Published by Addison Wesley Publishing Compan (1973)

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Compan, 1973. Hardcover. Condition: Good. Great reading/study copy. May have highlights and/or notes. Ships Fast! Satisfaction Guaranteed!. Seller Inventory # mon0000536929

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Luenberger, David G.

Published by Addison Wesley Publishing Company

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Company. Hardcover. Condition: Fine. 0201043475 Ships promptly. Seller Inventory # Z0201043475Z1

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Luenberger, David G.

Published by Addison Wesley Publishing Company

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Company. Condition: Good. 2nd Edition. Used books are NOT guaranteed to contain components and/or supplements such as: Access Codes or working CD's/DVD's! Ships fast! Expedited shipping 2-4 business days; Standard shipping 7-14 business days. Ships from USA!. Seller Inventory # BER-054-845

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Luenberger, David G.

Published by Addison Wesley Publishing Company

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Company. Hardcover. Condition: Very Good. 0201043475 Book is very clean. Crisp pages. Tight binding. Light shelf wear on cover. No dust jacket. Price sticker on the cover. Seller Inventory # YJB-7FC3-H099

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David G. Luenberger

Published by Addison-Wesley, Reading (1973)

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison-Wesley, Reading, 1973. Hard Cover. Condition: Fair. No Jacket. c. 1973, HB, Fair, Ex-Library stamp on f.f.e.p., labels on spine and rear cover, pocket in rear, edgewear, 356 p. Ex-Library. Seller Inventory # 65523

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Luenberger, David G.

Published by Addison-Wesley Publishing Company (1973)

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison-Wesley Publishing Company, 1973. First. Octavo; VG-/no-DJ; dark blue spine with white and green text; boards are strong with light staining and scuffing to covers, light bumping and rubbing to corners and edges; general textblock is clean, front free-end paper has previous owner's name in blue ink visible beneath black ink marks; 356pp. Rockville. Seller Inventory # 7-118-1273627

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Luenberger, David G.,

Published by Menlo Park, California, Addison-Wesley Publishing Company, (1973)

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About this Item: Menlo Park, California, Addison-Wesley Publishing Company, 1973. Hardcover. 356 S. GOOD condition, former library book with stamp und signature, few traces of use. Sprache: Englisch Gewicht in Gramm: 530. Seller Inventory # 492363

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Luenberger, David G.

Published by Addison Wesley (1973)

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About this Item: Addison Wesley, 1973. Hard Cover. Condition: Good+. No Jacket. Good+ condition. Clean pages. Good+ books may have light shelf wear, bumped page or cover edges. Binding intact. [L88]. Seller Inventory # 100309967

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Luenberger, David G.

Published by Addison-Wesley Pub. Co., Reading, Mass. (1973)

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About this Item: Addison-Wesley Pub. Co., Reading, Mass., 1973. Condition: Good. Ships from the UK. Former Library book. Shows some signs of wear, and may have some markings on the inside. Seller Inventory # GRP89344291

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Luenberger, David G.

Published by Addison Wesley Publishing Company (1973)

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Company, 1973. Hardcover. Condition: Used: Good. Seller Inventory # 14751186

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Luenberger, David G.

Published by Addison Wesley Publishing Comp (1973)

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Comp, 1973. Hardcover. Condition: Very Good. Great condition with minimal wear, aging, or shelf wear. Seller Inventory # P020201043475

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Luenberger, David G.

Published by Addison-Wesley

ISBN 10: 0201043459 ISBN 13: 9780201043457

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About this Item: Addison-Wesley. Hardcover. Condition: Good. Dust Cover Missing. Light shelf wear and minimal interior marks. Seller Inventory # G0201043459I3N01

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Luenberger, David G.

Published by Addison Wesley Publishing Comp (1973)

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Comp, 1973. Hardcover. Condition: New. Never used!. Seller Inventory # P110201043475

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Luenberger, David G.

Published by Addison-Wesley (1973)

ISBN 10: 0201043459 ISBN 13: 9780201043457

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About this Item: Addison-Wesley, 1973. Hardcover. Condition: Very Good. Great condition with minimal wear, aging, or shelf wear. Seller Inventory # P020201043459

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David G. Luenberger

Published by Addison Wesley Publishing Company (1973)

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Company, 1973. Hardcover. Condition: New. 2nd Edition. Seller Inventory # DADAX0201043475

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Luenberger, David G.

Published by Addison-Wesley (1973)

ISBN 10: 0201043459 ISBN 13: 9780201043457

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About this Item: Addison-Wesley, 1973. Hardcover. Condition: Like New. Almost new condition. Seller Inventory # P010201043459

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Luenberger, David G.

Published by Addison-Wesley (1973)

ISBN 10: 0201043459 ISBN 13: 9780201043457

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About this Item: Addison-Wesley, 1973. Hardcover. Condition: New. Never used!. Seller Inventory # P110201043459

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Luenberger, David G.

Published by Addison-Wesley (1973)

ISBN 10: 0201043459 ISBN 13: 9780201043457

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About this Item: Addison-Wesley, 1973. Hardcover. Condition: New. Brand New!. Seller Inventory # VIB0201043459

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David G. Luenberger

Published by Addison Wesley Publishing Company (1973)

ISBN 10: 0201043475 ISBN 13: 9780201043471

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About this Item: Addison Wesley Publishing Company, 1973. Hardcover. Condition: Good. 2nd Edition. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Seller Inventory # 0201043475

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Yinyu Ye, David G. Luenberger

Published by Springer International Publishing AG

ISBN 10: 3319188410 ISBN 13: 9783319188416

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About this Item: Springer International Publishing AG. Hardback. Condition: new. BRAND NEW, Linear and Nonlinear Programming: 2016 (4th Revised edition), Yinyu Ye, David G. Luenberger, This new edition 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 a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is 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. 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. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities. New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming. Indeed, many conic structures are possible and useful in a variety of applications. It must be recognized, however, that conic linear programming is an advanced topic, requiring special study. Another important topic is an accelerated steepest descent method that exhibits superior convergence properties, and for this reason, has become quite popular. The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8. As in previous editions, end-of-chapter exercises appear for all chapters. From the reviews of the Third Edition: ".this very well-written book is a classic textbook in Optimization. It should be present in the bookcase of each student, researcher, and specialist from the host of disciplines from which practical optimization applications are drawn." (Jean-Jacques Strodiot, Zentralblatt MATH, Vol. 1207, 2011). Seller Inventory # B9783319188416

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David G. Luenberger

Published by Springer-Verlag Gmbh Jul 2015 (2015)

ISBN 10: 3319188410 ISBN 13: 9783319188416

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About this Item: Springer-Verlag Gmbh Jul 2015, 2015. Buch. Condition: Neu. Neuware - This new edition 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 a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is 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. 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. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities. New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming. Indeed, many conic structures are possible and useful in a variety of applications. It must be recognized, however, that conic linear programming is an advanced topic, requiring special study. Another important topic is an accelerated steepest descent method that exhibits superior convergence properties, and for this reason, has become quite popular. The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8. As in previous editions, end-of-chapter exercises appear for all chapters. From the reviews of the Third Edition: '. this very well-written book is a classic textbook in Optimization. It should be present in the bookcase of each student, researcher, and specialist from the host of disciplines from which practical optimization applications are drawn.' (Jean-Jacques Strodiot, Zentralblatt MATH, Vol. 1207, 2011) 540 pp. Englisch. Seller Inventory # 9783319188416

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David G. Luenberger

Published by Springer-Verlag Gmbh Jul 2015 (2015)

ISBN 10: 3319188410 ISBN 13: 9783319188416

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About this Item: Springer-Verlag Gmbh Jul 2015, 2015. Buch. Condition: Neu. Neuware - This new edition 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 a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is 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. 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. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities. New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming. Indeed, many conic structures are possible and useful in a variety of applications. It must be recognized, however, that conic linear programming is an advanced topic, requiring special study. Another important topic is an accelerated steepest descent method that exhibits superior convergence properties, and for this reason, has become quite popular. The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8. As in previous editions, end-of-chapter exercises appear for all chapters. From the reviews of the Third Edition: '. this very well-written book is a classic textbook in Optimization. It should be present in the bookcase of each student, researcher, and specialist from the host of disciplines from which practical optimization applications are drawn.' (Jean-Jacques Strodiot, Zentralblatt MATH, Vol. 1207, 2011) 540 pp. Englisch. Seller Inventory # 9783319188416

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David G. Luenberger

Published by Springer-Verlag Gmbh Jul 2015 (2015)

ISBN 10: 3319188410 ISBN 13: 9783319188416

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About this Item: Springer-Verlag Gmbh Jul 2015, 2015. Buch. Condition: Neu. Neuware - This new edition 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 a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is 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. 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. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities. New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming. Indeed, many conic structures are possible and useful in a variety of applications. It must be recognized, however, that conic linear programming is an advanced topic, requiring special study. Another important topic is an accelerated steepest descent method that exhibits superior convergence properties, and for this reason, has become quite popular. The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8. As in previous editions, end-of-chapter exercises appear for all chapters. From the reviews of the Third Edition: '. this very well-written book is a classic textbook in Optimization. It should be present in the bookcase of each student, researcher, and specialist from the host of disciplines from which practical optimization applications are drawn.' (Jean-Jacques Strodiot, Zentralblatt MATH, Vol. 1207, 2011) 540 pp. Englisch. Seller Inventory # 9783319188416

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David G. Luenberger

Published by Springer-Verlag Gmbh Jul 2015 (2015)

ISBN 10: 3319188410 ISBN 13: 9783319188416

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About this Item: Springer-Verlag Gmbh Jul 2015, 2015. Buch. Condition: Neu. Neuware - This new edition 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 a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is 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. 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. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities. New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming. Indeed, many conic structures are possible and useful in a variety of applications. It must be recognized, however, that conic linear programming is an advanced topic, requiring special study. Another important topic is an accelerated steepest descent method that exhibits superior convergence properties, and for this reason, has become quite popular. The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8. As in previous editions, end-of-chapter exercises appear for all chapters. From the reviews of the Third Edition: '. this very well-written book is a classic textbook in Optimization. It should be present in the bookcase of each student, researcher, and specialist from the host of disciplines from which practical optimization applications are drawn.' (Jean-Jacques Strodiot, Zentralblatt MATH, Vol. 1207, 2011) 540 pp. Englisch. Seller Inventory # 9783319188416

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David G. Luenberger

Published by Springer International Publishing Okt 2016 (2016)

ISBN 10: 3319374397 ISBN 13: 9783319374390

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About this Item: Springer International Publishing Okt 2016, 2016. Taschenbuch. Condition: Neu. Neuware - This new edition 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 a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is 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. 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. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities. New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming. Indeed, many conic structures are possible and useful in a variety of applications. It must be recognized, however, that conic linear programming is an advanced topic, requiring special study. Another important topic is an accelerated steepest descent method that exhibits superior convergence properties, and for this reason, has become quite popular. The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8. As in previous editions, end-of-chapter exercises appear for all chapters. From the reviews of the Third Edition: '. this very well-written book is a classic textbook in Optimization. It should be present in the bookcase of each student, researcher, and specialist from the host of disciplines from which practical optimization applications are drawn.' (Jean-Jacques Strodiot, Zentralblatt MATH, Vol. 1207, 2011) 560 pp. Englisch. Seller Inventory # 9783319374390

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David G. Luenberger, Yinyu Ye

Published by Springer International Publishing AG, Switzerland (2016)

ISBN 10: 3319374397 ISBN 13: 9783319374390

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Destination, Rates & Speeds

About this Item: Springer International Publishing AG, Switzerland, 2016. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.This new edition 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 a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is 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. 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. It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities.New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming. Indeed, many conic structures are possible and useful in a variety of applications. It must be recognized, however, that conic linear programming is an advanced topic, requiring special study. Another important topic is an accelerated steepest descent method that exhibits superior convergence properties, and for this reason, has become quite popular. The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8. As in previous editions, end-of-chapter exercises appear for all chapters.From the reviews of the Third Edition: . this very well-written book is a classic textbook in Optimization. It should be present in the bookcase of each student, researcher, and specialist from the host of disciplines from which practical optimization applications are drawn. (Jean-Jacques Strodiot, Zentralblatt MATH, Vol. 1207, 2011) Softcover reprint of the original 4th ed. 2016. Seller Inventory # AAV9783319374390

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