Random Matrices High Dimensional by Blower Gordon (17 results)

Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Paperback. Condition: Like New. First Edition. In nearly new condition: firm and square with strong joints, no creases. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a v…ery nice book in great condition, now offered for sale at a reasonable price.

Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Language: English
Published by Cambridge University Press 2009-10-08, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
- First Edition
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Condition: New. An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts. Series: London Mathematical Society Lecture Note Series. Num Pages: 448 pages, 75 exercises. BIC Classification: PBF; PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 227 x 153 x 23. Weight i…n Grams: 630. . 2009. 1st Edition. paperback. . . . .

Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Paperback. Condition: Brand New. 1st edition. 437 pages. 9.00x6.00x1.00 inches. In Stock.

Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Condition: New. An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts. Series: London Mathematical Society Lecture Note Series. Num Pages: 448 pages, 75 exercises. BIC Classification: PBF; PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 227 x 153 x 23. Weight i…n Grams: 630. . 2009. 1st Edition. paperback. . . . . Books ship from the US and Ireland.

Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the behaviour of large random matrices. Standard results are covered, and the presentation emphasizes elementary operator theory and differential equations, so as to be accessible to graduate students and other non-experts. The… introductory chapters review material on Lie groups and probability measures in a style suitable for applications in random matrix theory. Later chapters use modern convexity theory to establish subtle results about the convergence of eigenvalue distributions as the size of the matrices increases. Random matrices are viewed as geometrical objects with large dimension. The book analyzes the concentration of measure phenomenon, which describes how measures behave on geometrical objects with large dimension. To prove such results for random matrices, the book develops the modern theory of optimal transportation and proves the associated functional inequalities involving entropy and information. These include the logarithmic Sobolev inequality, which measures how fast some physical systems converge to equilibrium.

Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 1st edition. 437 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand.

Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
- Print on Demand
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Language: English
Published by Cambridge University Press, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts.Über den AutorGordon Blower is currently Head of the Department of Mathematics and S…tatistics at Lancaster University, and P.

Language: English
Published by Cambridge University Press, Cambridge, 2009
Series: Book 302 of 387 - London Mathematical Society Lecture Notes
- Softcover
- Print on Demand
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Paperback. Condition: new. Paperback. This book focuses on the behaviour of large random matrices. Standard results are covered, and the presentation emphasizes elementary operator theory and differential equations, so as to be accessible to graduate students and other non-experts. The introductory chapters review material on Li…e groups and probability measures in a style suitable for applications in random matrix theory. Later chapters use modern convexity theory to establish subtle results about the convergence of eigenvalue distributions as the size of the matrices increases. Random matrices are viewed as geometrical objects with large dimension. The book analyzes the concentration of measure phenomenon, which describes how measures behave on geometrical objects with large dimension. To prove such results for random matrices, the book develops the modern theory of optimal transportation and proves the associated functional inequalities involving entropy and information. These include the logarithmic Sobolev inequality, which measures how fast some physical systems converge to equilibrium. An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.