Mathematics

Algorithmic Algebra studies some of the main algorithmic tools of computer algebra, covering such topics as Gröbner bases, characteristic sets, resultants and semialgebraic sets.The main purpose of the book is to acquaint advanced undergraduate and

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. Often the particular nature of the applications will prompt us to

This book provides a comprehensive and multi-layered exploration of algebraic principles. The text is suitable for a typical introductory Algebra & Trigonometry course, and was developed to be used flexibly. The modular approach and the richness of c

This book avoids the traditional definition-theorem-proof format; instead a fresh approach introduces a variety of problems and examples all in a clear and informal style. The in-depth focus on applications separates this book from others, and helps

Based on lectures given at University of California, Davis, this text constitutes a substantial, abstract introduction to linear algebra.This book aims to bridge the gap between the mainly computation-oriented lower division undergraduate classes and

The book presents an introduction to the fascinating subject of linear algebra. As the title suggests, this text is designed as a first course in linear algebra for students who have a reasonable understanding of basic algebra. Major topics of linear

This textbook, Elementary Algebra, is the first part, written in a clear and concise manner, making no assumption of prior algebra experience. It carefully guides students from the basics to the more advanced techniques required to be successful in t

A brief overview of pre-algebra and introductory algebra topics, written in a style meant to give you the basic facts in a way that is easy to understand. This text is suitable for high-school Algebra I, as a refresher for college students who need h

Mathematicians use their minds in ways that make abstract math easy for them. Most people can learn to do the same; Inner Algebra teaches how.This book starts by gently training you in the fundamental mental skills. It then shows how to apply them ma

This is a book on linear algebra and matrix theory. While it is self contained, it will work best for those who have already had some exposure to linear algebra. It is also assumed that the reader has had calculus. Some optional topics require more a