Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Algebra: A Computational Introduction
🌠 Top Free Python Books - 100% Free or Open Source!
  • Title: Algebra: A Computational Introduction
  • Author(s) John Scherk
  • Publisher: Chapman and Hall/CRC; 1 edition (2000); eBook (Creative Commons Licensed, 2009)
  • License(s): CC BY-NC-SA 2.5
  • Hardcover/Paperback: 336 pages
  • eBook: PDF (419 pages, 1.9 MB)
  • Language: English
  • ISBN-10: 1584880643
  • ISBN-13: 978-1584880646
  • Share This:  

Book Description

Adequate texts that introduce the concepts of abstract algebra are plentiful. None, however, are more suited to those needing a mathematical background for careers in engineering, computer science, the physical sciences, industry, or finance than Algebra: A Computational Introduction.

Along with a unique approach and presentation, the book demonstrates how software can be used as a problem-solving tool for algebra.

A variety of factors set this text apart. Its clear exposition, with each chapter building upon the previous ones, provides greater clarity for the reader. It first introduces permutation groups, then linear groups, before finally tackling abstract groups. It then carefully motivates Galois theory by introducing Galois groups as symmetry groups.

The book includes many computations, both as examples and as exercises. All of this works to better prepare readers for understanding the more abstract concepts.

By carefully integrating the use of Mathematica® throughout the book in examples and exercises, the author helps readers develop a deeper understanding and appreciation of the material. The numerous exercises and examples along with downloads available from the Internet help establish a valuable working knowledge of Mathematica and provide a good reference for complex problems encountered in the field.

About the Author(s)
  • Victor Shoup is an Associate Professor at The Courant Institute of Mathematical Sciences at New York University.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • A Computational Introduction to Number Theory and Algebra

    This introductory book emphasises algorithms and applications, such as cryptography and error correcting codes, and is accessible to a broad audience. It covers the basics of number theory, abstract algebra and discrete probability theory.

  • Algorithmic Algebra (Bhubaneswar Mishra)

    Anyone need to use algorithms in polynomials should have a copy of this! This is definitely one of the best! It covers almost everything anyone need in computation with systems of polynomial equations: Grobner Basis, Resultants, Characteristic Set, etc.

  • Fundamental Problems of Algorithmic Algebra (Chee-Keng Yap)

    This book provides a systematic and focused treatment of a collection of core problemsthe computational equivalents of the classical Fundamental Problem of Algebra and its derivatives.

  • Matrix Algebra with Computational Applications (Dirk Colbry)

    This book is designed to introduce students to the use of Linear Algebra to solve real-world problems. These materials were developed specifically for students and instructors that emphasizes hands-on problem-solving activities.

  • Lecture Notes of Matrix Computations (Wen-Wei Lin)

    Thoroughly details matrix computations and the accompanying theory alongside the author's useful insights, This book provides a clear and thorough introduction to matrix computations,a key component of scientific computing.

  • Notes for Computational Linear Algebra (Jessy Grizzle, et al.)

    This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least squares problems, eigenvalue problems, and linear programming problems.

  • Linear Algebra, Theory And Applications (Kenneth Kuttler)

    This is a book on linear algebra and matrix theory. It gives a self- contained treatment of linear algebra with many of its most important applications which does not neglect arbitrary fields of scalars and the proofs of the theorems.

  • Applied and Computational Linear Algebra: A First Course

    This book is intended as a text for a graduate course that focuses on applications of linear algebra and on the algorithms used to solve the problems that arise in those applications. It uses matrix theory to understand the workings of the algorithms.

Book Categories
:
Other Categories
Resources and Links