Probability Theory on Vector Spaces IV PDF Download

Author: Stamatis Cambanis
Publisher: Springer
ISBN: 354048244X
Category : Mathematics
Languages : en
Pages : 435

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Author: D Szynal
Publisher: Springer
ISBN: 3540389393
Category : Mathematics
Languages : en
Pages : 381

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Author: A. Weron
Publisher: Springer
ISBN: 3540383506
Category : Mathematics
Languages : en
Pages : 342

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Author: A. Weron
Publisher: Springer
ISBN: 3540358145
Category : Mathematics
Languages : en
Pages : 274

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Book Description

Author: Roman Vershynin
Publisher: Cambridge University Press
ISBN: 1108415199
Category : Business & Economics
Languages : en
Pages : 299

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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Author: V.V. Buldygin
Publisher: Springer Science & Business Media
ISBN: 9401716870
Category : Mathematics
Languages : en
Pages : 314

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Book Description
It is well known that contemporary mathematics includes many disci plines. Among them the most important are: set theory, algebra, topology, geometry, functional analysis, probability theory, the theory of differential equations and some others. Furthermore, every mathematical discipline consists of several large sections in which specific problems are investigated and the corresponding technique is developed. For example, in general topology we have the following extensive chap ters: the theory of compact extensions of topological spaces, the theory of continuous mappings, cardinal-valued characteristics of topological spaces, the theory of set-valued (multi-valued) mappings, etc. Modern algebra is featured by the following domains: linear algebra, group theory, the theory of rings, universal algebras, lattice theory, category theory, and so on. Concerning modern probability theory, we can easily see that the clas sification of its domains is much more extensive: measure theory on ab stract spaces, Borel and cylindrical measures in infinite-dimensional vector spaces, classical limit theorems, ergodic theory, general stochastic processes, Markov processes, stochastical equations, mathematical statistics, informa tion theory and many others.

Author: Yutaka Yamamoto
Publisher: SIAM
ISBN: 1611972302
Category : Mathematics
Languages : en
Pages : 270

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Book Description
A guide to analytic methods in applied mathematics from the perspective of functional analysis, suitable for scientists, engineers and students.

Author: David G. Luenberger
Publisher: John Wiley & Sons
ISBN: 9780471181170
Category : Technology & Engineering
Languages : en
Pages : 348

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Book Description
Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum of mathematics. Contains problems that relate to the applications in the book.

Author: Paul R (Paul Richard) 1916- Halmos
Publisher: Hassell Street Press
ISBN: 9781013915352
Category :
Languages : en
Pages : 216

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Book Description
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Author: Christopher G. Small
Publisher: John Wiley & Sons
ISBN: 1118165535
Category : Mathematics
Languages : en
Pages : 268

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Book Description
Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples.