An Introduction to Probabilistic Number Theory Book [PDF] Download

• Publisher : Cambridge University Press
• File Size : 35,8 Mb
• Release Date : 06 May 2021

This introductory textbook for graduate students presents modern developments in probabilistic number theory, many for the first time.

• Publisher : Cambridge University Press
• File Size : 22,8 Mb
• Release Date : 30 June 1995

This is a self-contained introduction to analytic methods in number theory, assuming on the part of the reader only what is typically learned in a standard undergraduate degree course. It

• Publisher : Cambridge University Press
• File Size : 24,6 Mb
• Release Date : 27 September 2018

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

• Publisher : American Mathematical Soc.
• File Size : 38,9 Mb
• Release Date : 16 July 2015

This book provides a self contained, thorough introduction to the analytic and probabilistic methods of number theory. The prerequisites being reduced to classical contents of undergraduate courses, it offers to

• Publisher : Cambridge University Press
• File Size : 22,6 Mb
• Release Date : 28 April 2005

This introductory book emphasises algorithms and applications, such as cryptography and error correcting codes.

• Publisher : CRC Press
• File Size : 49,6 Mb
• Release Date : 10 April 2001

"Number Theory Arising from Finite Fields: Analytic and Probabilistic Theory" offers a discussion of the advances and developments in the field of number theory arising from finite fields. It emphasizes

• Publisher : American Mathematical Soc.
• File Size : 42,6 Mb
• Release Date : 16 June 1997

This text is designed for an introductory probability course at the university level for undergraduates in mathematics, the physical and social sciences, engineering, and computer science. It presents a thorough

• Publisher : Springer Science & Business Media
• File Size : 22,7 Mb
• Release Date : 06 December 2012

Introduction to the basic concepts of probability theory: independence, expectation, convergence in law and almost-sure convergence. Short expositions of more advanced topics such as Markov Chains, Stochastic Processes, Bayesian Decision

• Publisher : Princeton University Press
• File Size : 36,9 Mb
• Release Date : 04 August 2020

In a manner accessible to beginning undergraduates, An Invitation to Modern Number Theory introduces many of the central problems, conjectures, results, and techniques of the field, such as the Riemann

• Publisher : Cambridge University Press
• File Size : 40,7 Mb
• Release Date : 30 August 2010

This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is