A Computational Introduction To Number Theory And Algebra Pdf
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- Computational number theory
- A Computational Introduction to Number Theory and Algebra
- A Computational Introduction to Number Theory and Algebra (Version 2
Show all documents Besides the general fact that such hand-crafted code is more e ffi cient than that produced by a compiler, there is another, more important reason for using assembly language. A typical bit machine often comes with instructions that allow one to compute the bit product of two bit integers, and similarly, instructions to divide a bit integer by a bit integer obtaining both the quo- tient and remainder. However, high-level programming languages do not as a rule provide any access to these low-level instructions. However, if one codes in assembly language, one can take B to be much closer, or even equal, to the word-size of the machine.
Computational number theory
Description This introductory book emphasizes algorithms and applications, such as cryptography and error correcting codes, and is accessible to a broad audience. The presentation alternates between theory and applications in order to motivate and illustrate the mathematics. The mathematical coverage includes the basics of number theory, abstract algebra and discrete probability theory. This edition now includes over new exercises, ranging from the routine to the challenging, that flesh out the material presented in the body of the text, and which further develop the theory and present new applications. The material has also been reorganized to improve clarity of exposition and presentation. Ideal as a textbook for introductory courses in number theory and algebra, especially those geared towards computer science students. Product Details Price.
In mathematics and computer science , computational number theory , also known as algorithmic number theory , is the study of computational methods for investigating and solving problems in number theory and arithmetic geometry , including algorithms for primality testing and integer factorization , finding solutions to diophantine equations , and explicit methods in arithmetic geometry. From Wikipedia, the free encyclopedia. Study of algorithms for performing number theoretic computations. MIT Press. Graduate Texts in Mathematics. Number-theoretic algorithms.
A Computational Introduction to Number Theory and Algebra
Subject Computational. Number Theory. Of course, this dichotomy between theory and applications is not perfectly maintained: the chapters that focus mainly on applications include the development of some of the mathematics that is specific to a particular application, and very occasionally, some of the chapters that focus mainly on mathematics include a discussion of related algorithmic ideas as well. The mathematical material covered includes the basics of number theory including unique factorization, congruences, the distribution of primes, and quadratic reciprocity and of abstract algebra including groups, rings, fields, and vector spaces. It also includes an introduction to discrete probability theory—this material is needed to properly treat the topics of probabilistic algorithms and cryptographic applications.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Shoup Published Computer Science, Mathematics. This introductory book emphasizes algorithms and applications, such as cryptography and error correcting codes, and is accessible to a broad audience. The presentation alternates between theory and applications in order to motivate and illustrate the mathematics. The mathematical coverage includes the basics of number theory, abstract algebra and discrete probability theory.
A Computational Introduction to Number Theory and Algebra (Version 2
Undoubtedly, this book, written by one of the leading authorities in the field, is one of the most beautiful books available on the market. There are numerous exercises at all levels …. The bibliography is quite comprehensive and therefore has intrinsic value in its own right. Skip to main content Skip to table of contents.
The last three or four decades have seen an interesting array of applications of algebra and number theory to computer science and related areas, from securing the interchange of information public key cryptography to error-correcting codes widely used in the storage, retrieval and transmission of information. Conversely, the increasing capacity of computers has given rise to a vast area of algebra including number theory and algebraic geometry that emphasizes the algorithmic aspects of these branches of mathematics that somehow were at best latent.
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