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Chvatal, V. Linear Programming ISBN 13: 9780716715870

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9780716715870: Linear Programming

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For upper-division/graduate courses in operations research/management science, mathematics, and computer science, this text covers basic theory, selected applications, network flow problems, and advanced techniques.

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Book by Chvatal Vasek

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  • EditoreW H Freeman & Co
  • Data di pubblicazione1983
  • ISBN 10 0716715872
  • ISBN 13 9780716715870
  • RilegaturaCopertina flessibile
  • LinguaInglese
  • Numero di pagine478

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9780716711957: Linear Programming

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ISBN 10:  0716711958 ISBN 13:  9780716711957
Casa editrice: W.H.Freeman & Co Ltd, 1983
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Chvatal, Vasek
Editore: W. H. Freeman, 1983
ISBN 10: 0716715872 ISBN 13: 9780716715870
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Paperback. Condizione: 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! Codice articolo S_423769269

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Chvatal, Vasek
Editore: W. H. Freeman, 1983
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Condizione: Acceptable. Pages include notes, underlining, or highlighting. May have some shelf-wear due to normal use. Your purchase funds free job training and education in the greater Seattle area. Thank you for supporting Goodwills nonprofit mission! Codice articolo 0KVOG2002LPD_ns

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Chvatal, Vasek
Editore: W. H. Freeman, 1983
ISBN 10: 0716715872 ISBN 13: 9780716715870
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paperback. Condizione: New. In shrink wrap. Looks like an interesting title! Codice articolo Q-0716715872

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Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Codice articolo Scanned0716715872

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Vasek Chvatal (Autor)
Editore: W H Freeman & Co, 1983
ISBN 10: 0716715872 ISBN 13: 9780716715870
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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germania

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Softcover. Condizione: gut. Lineare Programmung Informatik Mathematik mathematics computer science "An innovative, attractive introduction to linear programming " American Mathematical Monthly For upper-division/graduate courses in operations research/management science, mathematics, and computer science, this text covers basic theory, selected applications, network flow problems, and advanced techniques. A masterpiece on Linear Programming. Although it does not contain Interior Point Methods developed subsequently, it's always the first book I refer to, whenever I have any questions on Linear Programming. Strongly Recommended. This book is a good introduction to linear programming. And very readable. It also serves as a good reference. For a more advanced text and non-linear programming topics, look at Nash and Sofer. Informatik Mathematik I've been teaching a linear programming course at the advanced undergraduate level out of this book for the last 12 years. I'm still happy with Chvatal's book and haven't found anything better. Prerequisites for this book include some background in linear algebra (the typical sophomore level introduction to linear algebra is enough), and some experience with proof based mathematics. Because the subject does not involve the difficult concepts of analysis, it (much like number theory) makes a good subject for students to study as they are developing proof writing skills. The first 10 chapters of the book present the simplex method, the revised simplex method, duality theory, and sensitivity analysis. This material can easily be covered in 10 weeks. The remaining chapters of the book are largely independent, mostly focused on various applications of linear programming and specialization of the simplex method to network flow problems. Chvatal presents the simplex method and many of its applications from a mathematical point of view. He states and proves theorems, but also provides plenty of motivation. Students who make an effort do develop more mathematical maturity from working through this book. Chvatal also presents the material from a computational and algorithmic point of view. One of the major points of the book is that the author prefers to use algorithmic proofs. For example, the proof that every standard form LP is either infeasibile, unbounded, or has an optimal BFS is built on the simplex method- Since the algorithm terminates in one of these three states, and can't go into an infinite loop, these are the only possibilities. Another particular strength of the book is in the presentation of duality theory. The explanation is simply very clear and intuitive. The one glaring weakness of the book is that it doesn't contain any discussion of interior point methods for linear programming. Since the book was published in the mid 1980's, this is not surprising. In my course, I supplement Chvatal's book with my own lecture notes on interior point methods. Zusatzinfo 98ill. Sprache englisch Maße 150 x 230 mm Mathematik Informatik Mathe ISBN-10 0-7167-1195-8 / 0716711958 ISBN-13 978-0-7167-1195-7 / 9780716711957 In englischer Sprache. 478 pages. 16,7 x 2,4 x 23,4 cm Auflage: Original Spelli. (15. September 1983). Codice articolo BN34298

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Chvatal, Vasek
Editore: W. H. Freeman, 1983
ISBN 10: 0716715872 ISBN 13: 9780716715870
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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germania

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Condizione: gut. Rechnung mit MwSt - Versand aus Deutschland pages. Codice articolo PI-9Z5U-K7NX

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Vasek Chvatal (Autor)
ISBN 10: 0716715872 ISBN 13: 9780716715870
Antico o usato Softcover

Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germania

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Softcover. Condizione: gut. Lineare Programmung Informatik Mathematik mathematics computer science "An innovative, attractive introduction to linear programming " American Mathematical Monthly For upper-division/graduate courses in operations research/management science, mathematics, and computer science, this text covers basic theory, selected applications, network flow problems, and advanced techniques. A masterpiece on Linear Programming. Although it does not contain Interior Point Methods developed subsequently, it's always the first book I refer to, whenever I have any questions on Linear Programming. Strongly Recommended. This book is a good introduction to linear programming. And very readable. It also serves as a good reference. For a more advanced text and non-linear programming topics, look at Nash and Sofer. Informatik Mathematik I've been teaching a linear programming course at the advanced undergraduate level out of this book for the last 12 years. I'm still happy with Chvatal's book and haven't found anything better. Prerequisites for this book include some background in linear algebra (the typical sophomore level introduction to linear algebra is enough), and some experience with proof based mathematics. Because the subject does not involve the difficult concepts of analysis, it (much like number theory) makes a good subject for students to study as they are developing proof writing skills. The first 10 chapters of the book present the simplex method, the revised simplex method, duality theory, and sensitivity analysis. This material can easily be covered in 10 weeks. The remaining chapters of the book are largely independent, mostly focused on various applications of linear programming and specialization of the simplex method to network flow problems. Chvatal presents the simplex method and many of its applications from a mathematical point of view. He states and proves theorems, but also provides plenty of motivation. Students who make an effort do develop more mathematical maturity from working through this book. Chvatal also presents the material from a computational and algorithmic point of view. One of the major points of the book is that the author prefers to use algorithmic proofs. For example, the proof that every standard form LP is either infeasibile, unbounded, or has an optimal BFS is built on the simplex method- Since the algorithm terminates in one of these three states, and can't go into an infinite loop, these are the only possibilities. Another particular strength of the book is in the presentation of duality theory. The explanation is simply very clear and intuitive. The one glaring weakness of the book is that it doesn't contain any discussion of interior point methods for linear programming. Since the book was published in the mid 1980's, this is not surprising. In my course, I supplement Chvatal's book with my own lecture notes on interior point methods. ISBN-10 0-7167-1587-2 / 0716715872 ISBN-13 978-0-7167-1587-0 / 9780716715870 In englischer Sprache. 478 pages. 16,7 x 2,4 x 23,4 cm Auflage: Original Spelli. (15. September 1983). Codice articolo BN22922

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