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Introduction Matrix Concentration Inequalities by Tropp Joel (16 results)
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US$ 95.03
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An Introduction to Matrix Concentration Inequalities (Foundations and Trends(r) in Machine Learning)
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An Introduction to Matrix Concentration Inequalities (Foundations and Trends(r) in Machine Learning)
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An Introduction to Matrix Concentration Inequalities (Foundations and Trends(r) in Machine Learning)
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Introduction to Matrix Concentration Inequalities
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US$ 120.65
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Add to basketCondition: New. Offers an invitation to the field of matrix concentration inequalities. The book begins with some history of random matrix theory describes a flexible model for random matrices that is suitable for many problems and discusses the most important matrix con.
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Condition: New. pp. 256.
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Introduction to Matrix Concentration Inequalities
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 225.63
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An Introduction to Matrix Concentration Inequalities (Foundations and Trends(r) in Machine Learning)
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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An Introduction to Matrix Concentration Inequalities
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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An Introduction to Matrix Concentration Inequalities
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 359.
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US$ 154.32
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Random matrices now play a role in many areas of theoretical, applied, and computational mathematics. It is therefore desirable to have tools for studying random matrices that are flexible, easy to use, and powerful. Over the last fifteen years, researchers have developed a remarkable family of results, called matrix concentration inequalities, that achieve all of these goals.This monograph offers an invitation to the field of matrix concentration inequalities. It begins with some history of random matrix theory; it describes a flexible model for random matrices that is suitable for many problems; and it discusses the most important matrix concentration results. To demonstrate the value of these techniques, the presentation includes examples drawn from statistics, machine learning, optimization, combinatorics, algorithms, scientific computing, and beyond.
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US$ 178.77
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Add to basketCondition: New. Print on Demand pp. 256.
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US$ 191.12
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Add to basketCondition: New. PRINT ON DEMAND pp. 256.
