Applied Abstract Algebra


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Applied Abstract Algebra


Applied Abstract Algebra

Author: Rudolf Lidl

language: en

Publisher: Springer Science & Business Media

Release Date: 1997-11-25


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Accessible to junior and senior undergraduate students, this survey contains many examples, solved exercises, sets of problems, and parts of abstract algebra of use in many other areas of discrete mathematics. Although this is a mathematics book, the authors have made great efforts to address the needs of users employing the techniques discussed. Fully worked out computational examples are backed by more than 500 exercises throughout the 40 sections. This new edition includes a new chapter on cryptology, and an enlarged chapter on applications of groups, while an extensive chapter has been added to survey other applications not included in the first edition. The book assumes knowledge of the material covered in a course on linear algebra and, preferably, a first course in (abstract) algebra covering the basics of groups, rings, and fields.

Topics in Applied Abstract Algebra


Topics in Applied Abstract Algebra

Author: S. R. Nagpaul

language: en

Publisher: American Mathematical Soc.

Release Date:


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This book presents interesting applications of abstract algebra to practical real-world problems. Especially for those whose interest in algebra is not confined to abstract theory, the text makes the study of abstract algebra more exciting and meaningful. The book is appropriate as either a text for an applied abstract algebra course or as a supplemental text for a standard course in abstract algebra. While fully developed, the algebraic theory presented is just what is required for the applications discussed in the book. This book is included in the Brooks/Cole Series in Advanced Mathematics (Series Editor: Paul Sally, Jr.).

Introduction to Applied Linear Algebra


Introduction to Applied Linear Algebra

Author: Stephen Boyd

language: en

Publisher: Cambridge University Press

Release Date: 2018-06-07


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A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.