Applications mathematical programming techniques (26 Ergebnisse)
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351 Seiten mit zahlreichen Abbildungen, Aus der Präsenzbibliothek eines Institutes, daher außergewöhnlich gut erhalten! (From the reference library of an institute, therefore exceptionally well preserved!) 3540589961 Sprache: Englisch Gewicht in Gramm: 480 Groß 8°, Original-Karton (Softcover), Bibliotheks-Exemplar (ordnungsgemäß… entwidmet) mit kleinem Rückenschild, Stempel Titel, insgesamt gutes und innen sauberes Exemplar, (library copy in good condition).
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Paperback Jun 04, 1995. Zustand: Used: Very Good. Stochastic Programming: Numerical Techniques And Engineering Applications (Lecture Notes In Economics And Mathematical Systems) |Marti, Kall | Springer, 1995. In-8° cartonné, 351p. Couverture propre. Dos solide. Intérieur frais sans soulignage ou annotation. Exemplaire de bibliot…hèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l'intérieur de l'ouvrage. Très bon état général pour cet ouvrage . [Ba 67+].
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Paperback. Zustand: Brand New. 1995 edition. 364 pages. 8.50x5.51x0.82 inches. In Stock.
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In den WarenkorbZustand: Good. buone-ottime condizioni, leggeri segni di usura.
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Softcover. Zustand: 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 the…ory, 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).
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Taschenbuch. Zustand: Neu. Mathematical Programming | Techniques and Applications | Neha Gupta | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203025149 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Verlag: Advisory Group for Aerospace Research and Development, 1971
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In den WarenkorbHardcover. Zustand: VG+. 200 pages in very good condition. With many figures. Blue hardcovers with gilt spine titles. Corners and spine lightly bumped. VG+ Size: 8 x 12. Book.
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Paperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Hardcover. Zustand: UsedGood. Hardcover; surplus library copy with the usual stampings; reference number taped to spine; light fading, light shelf wear to exterior; otherwise in go od condition with clean text, firm binding.
Sprache: Englisch
Verlag: W H Freeman & Co Auflage: Original Spelli. (15. September 1983), 1983
- Hardcover
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Hardcover. Zustand: 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 the…ory, 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).
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Zustand: gut. 1995. Stochastic Programming. Numerial Techniques and Engineering Applications. Proceedings of the 2nd GAMM/IFIP-Workshop, Neubiberg/München, Germany, 1993. (= Lecture Notes in Economics and Mathematical Systems - Volume 423). In deutscher Sprache. pages.
Decomposition Techniques in Mathematical Programming: Engineering and Science Applications
Conejo, Antonio J.; Castillo, Enrique; Minguez, Roberto; Garcia-Bertrand, Raquel
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Decomposition Techniques in Mathematical Programming : Engineering And Science Applications
Conejo, Antonio J. (EDT); Castillo, Enrique; Minguez, Roberto; Garcia-bertrand, Raquel
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Decomposition Techniques in Mathematical Programming: Engineering and Science Applications
Conejo, Antonio J.; Castillo, Enrique; Minguez, Roberto; Garcia-Bertrand, Raquel
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Decomposition Techniques in Mathematical Programming: Engineering and Science Applications
Conejo, Antonio J.; Castillo, Enrique; Minguez, Roberto; Garcia-Bertrand, Raquel
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Decomposition Techniques in Mathematical Programming : Engineering And Science Applications
Conejo, Antonio J. (EDT); Castillo, Enrique; Minguez, Roberto; Garcia-bertrand, Raquel
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Decomposition Techniques in Mathematical Programming : Engineering And Science Applications
Conejo, Antonio J. (EDT); Castillo, Enrique; Minguez, Roberto; Garcia-bertrand, Raquel
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Decomposition Techniques in Mathematical Programming : Engineering And Science Applications
Conejo, Antonio J. (EDT); Castillo, Enrique; Minguez, Roberto; Garcia-bertrand, Raquel
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Taschenbuch. Zustand: Neu. Decomposition Techniques in Mathematical Programming | Engineering and Science Applications | Antonio J. Conejo (u. a.) | Taschenbuch | xvi | Englisch | 2010 | Springer | EAN 9783642066078 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartma…nn[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optimization plainly dominates the design, planning, operation, and c- trol of engineering systems. This is a book on optimization that considers particular cases of optimization problems, those with a decomposable str- ture that can be advantageousl…y exploited. Those decomposable optimization problems are ubiquitous in engineering and science applications. The book considers problems with both complicating constraints and complicating va- ables, and analyzes linear and nonlinear problems, with and without in- ger variables. The decomposition techniques analyzed include Dantzig-Wolfe, Benders, Lagrangian relaxation, Augmented Lagrangian decomposition, and others. Heuristic techniques are also considered. Additionally, a comprehensive sensitivity analysis for characterizing the solution of optimization problems is carried out. This material is particularly novel and of high practical interest. This book is built based on many clarifying, illustrative, and compu- tional examples, which facilitate the learning procedure. For the sake of cl- ity, theoretical concepts and computational algorithms are assembled based on these examples. The results are simplicity, clarity, and easy-learning. We feel that this book is needed by the engineering community that has to tackle complex optimization problems, particularly by practitioners and researchersinEngineering,OperationsResearch,andAppliedEconomics.The descriptions of most decomposition techniques are available only in complex and specialized mathematical journals, di cult to understand by engineers. A book describing a wide range of decomposition techniques, emphasizing problem-solving, and appropriately blending theory and application, was not previously available.
Decomposition Techniques in Mathematical Programming: Engineering and Science Applications
Conejo, Antonio J.; Castillo, Enrique; Minguez, Roberto; Garcia-Bertrand, Raquel
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hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mathematical programming optimizes the things to derive the best out of it. From housewife to businessman, peon to manager, industrialist to entrepreneur, farmer to CEO of a company, everyone intentionally or unintentionally optimizing the…ir resources and goals. In every field optimization is applicable. This book presents the collection of tools and techniques to solve a variety of application problems of mathematical programming. This presents book presents the applicability of mathematical programming into various fields such as sampling, transportation, reliability, etc., in certain as well as uncertain environment. Problems of various fields are formulated into certain or uncertain mathematical programming problems and some of the best optimization approaches are used to derive the optimal or pareto optimal solution of the problems using LINGO software. The main audience of this book is academicians, researchers, practitioners, and policy makers. This book aims to provide the applications and tools to solve the mathematical programming problems for certain and uncertain environment under the umbrella. All the techniques are presented in a simple language and step by step.
