Analytical and Computational Methods in Probability Theory

Analytical and Computational Methods in Probability Theory
Author :
Publisher : Springer
Total Pages : 551
Release :
ISBN-10 : 9783319715049
ISBN-13 : 3319715046
Rating : 4/5 (49 Downloads)

Book Synopsis Analytical and Computational Methods in Probability Theory by : Vladimir V. Rykov

Download or read book Analytical and Computational Methods in Probability Theory written by Vladimir V. Rykov and published by Springer. This book was released on 2017-12-21 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Analytical and Computational Methods in Probability Theory and its Applications, ACMPT 2017, held in Moscow, Russia, in October 2017. The 42 full papers presented were carefully reviewed and selected from 173 submissions. The conference program consisted of four main themes associated with significant contributions made by A.D.Soloviev. These are: Analytical methods in probability theory, Computational methods in probability theory, Asymptotical methods in probability theory, the history of mathematics.


Analytical and Computational Methods in Probability Theory Related Books

Analytical and Computational Methods in Probability Theory
Language: en
Pages: 551
Authors: Vladimir V. Rykov
Categories: Computers
Type: BOOK - Published: 2017-12-21 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the First International Conference on Analytical and Computational Methods in Probability Theory and its Appli
Computational Methods for Inverse Problems
Language: en
Pages: 195
Authors: Curtis R. Vogel
Categories: Mathematics
Type: BOOK - Published: 2002-01-01 - Publisher: SIAM

DOWNLOAD EBOOK

Provides a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems.
Data-Driven Computational Methods
Language: en
Pages: 171
Authors: John Harlim
Categories: Computers
Type: BOOK - Published: 2018-07-12 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Describes computational methods for parametric and nonparametric modeling of stochastic dynamics. Aimed at graduate students, and suitable for self-study.
Probability and Computing
Language: en
Pages: 372
Authors: Michael Mitzenmacher
Categories: Computers
Type: BOOK - Published: 2005-01-31 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Randomization and probabilistic techniques play an important role in modern computer science, with applications ranging from combinatorial optimization and mach
Analytical and Numerical Methods for Volterra Equations
Language: en
Pages: 240
Authors: Peter Linz
Categories: Mathematics
Type: BOOK - Published: 1985-01-01 - Publisher: SIAM

DOWNLOAD EBOOK

Presents an aspect of activity in integral equations methods for the solution of Volterra equations for those who need to solve real-world problems. Since there