# Algebraic and stochastic coding theory

## Dave K. Kythe (Author of Algebraic and Stochastic Coding Theory)

## Algebraic and stochastic coding theory

It seems that you're in Germany. We have a dedicated site for Germany. This unique text for beginning graduate students gives a self-contained introduction to the mathematical properties of stochastics and presents their applications to Markov processes, coding theory, population dynamics, and search engine design. The book is ideal for a newly designed course in an introduction to probability and information theory. Prerequisites include working knowledge of linear algebra, calculus, and probability theory. The first part of the text focuses on the rigorous theory of Markov processes on countable spaces Markov chains and provides the basis to developing solid probabilistic intuition without the need for a course in measure theory.

Written for advanced readers, this book examines recent theoretical developments in coding theory. It covers technical topics and includes numerous examples to explain the underlying principles in coding theory. The text proves and illustrates the results with examples that detai Usually ships weeks — This is an indent title internationally sourced to order from a local supplier. This title is firm sale. Please select carefully as returns are not accepted.

The technology we use in today's society is to an ever increasing extent based on mathematical models and calculations. This programme will suit anyone who is interested in mathematics and wants to apply his or her skills to problem solving and for creating new mathematical models. It also gives you the possibility to start an academic career. There are three specializations all end with a master thesis work. Analysis with Mathematical Physics: Gives you a comprehensive education in mathematics, aimed at mathematical physics. You study courses in complex analysis, distribution theory, and partial differential equations Algebra with Cryptography and Coding: You study general courses in mathematics and modelling besides courses in algebra, number theory, cryptography and coding theory. Mathematical Statistics and Financial Mathematics: You study courses in mathematics but you also train stochastic thinking and statistic skills.

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This unique text for beginning graduate students gives a self-contained introduction to the mathematical properties of stochastics and presents their applications to Markov processes, coding theory, population dynamics, and search engine design.