Advanced Methods Techniques Applications (153 results)

Hardcover. Condition: Very Good. 1. 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.

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Condition: Good. Volume 5. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:0306376857.

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!

Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 80 TEC 9789027710222 Sprache: Englisch Gewicht in Gramm: 1500.

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Hardcover. Condition: Gut. 16, 265 p. Good. Cover shows mild wear. Clean pages. Sprache: Englisch Gewicht in Gramm: 710.

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Softcover. Condition: 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).

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Hardcover. Condition: 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).

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Hardcover. Condition: Brand New. 366 pages. 9.25x6.10x9.49 inches. In Stock.

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Softcover. Condition: New. Dust Jacket Condition: no dj. First. Advanced Imaging Techniques for Cancer Detection - Methods and Applications presents a comprehensive exploration of the latest advancements in imaging technologies for cancer detection, highlighting the potential for these technologies to drive innovation and improve healthcare outcomes. This book examines the various ways in which emerging imaging technologies are being used to diagnose and treat cancer, highlighting the importance of staying current with the latest advancements in this rapidly evolving field. By examining real-world case studies and presenting practical strategies for implementing emerging imaging technologies, readers will gain a deeper understanding of the potential of these technologies to transform healthcare and develop the skills necessary to stay current with the latest advancements in cancer detection. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Archery, Adaptive Sports, Sports Science, Psychology, Mental Toughness Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Advanced Statistical Methods for Data Analysis and Modeling Techniques and Applications presents a comprehensive overview of the latest advances in advanced statistical methods and data analysis. This book explores the application of advanced statistical techniques to understand the complex relationships within data, from identifying patterns to predicting behavior. By applying advanced statistical methods, readers will gain insights into the evaluation of data quality, from assessing accuracy to optimizing analysis. Through a series of in-depth case studies and analyses, readers will discover how advanced statistical methods can be applied to real-world problems, from improving decision-making to enhancing research efficiency. By grasping the fundamental concepts and techniques of advanced statistical methods, readers will be equipped to tackle the most pressing challenges in data analysis and modeling. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.