Linear Algebra and Matrix Theory

My original intent for undertaking the writing of this book was to create an electronic course in linear algebra that utilizes the computer to implement the tedious work associated with matrix and polynomial computations in linear algebra and matrix theory. In my zeal to computerize these computations, I unwittingly became part of the now-generation. With each chapter of the book, I designed a computer module for implementing the concepts taught in the chapter. Hence for each chapter, the user is empowered to instantly practice the lessons learned by using the Linear Algebra Learning Management System (LMS). The Linear Algebra LMS has two implementations. The first implementation is a personalized application that allows the student to perform linear algebra/matrix operations in a personal computer environment that is independent of the classroom setting. The personalized application provides a convenient aid for assisting with homework, take-home tests and independent research. The second implementation is a web-centric version of the LMS that facilitates teacher-to-student interaction. Both implementations have identical functionality, but the web-centric implementation is administered from a central computer under the control of the teacher or a school appointed administrator. This central control allows the teacher to record assigned lesson responses and the ability to evaluate and compare student responses. The web-centric version is not included with this textbook.

Author: Sharon Parrish Andrews, Nelson M. Andrews
Publisher: Nutshell Research and Development, L.L.C.
Published: 04/16/2010
Pages: 496
Binding Type: Paperback
Weight: 1.88lbs
Size: 10.00h x 7.01w x 1.00d
ISBN: 9780982036822

About the Author
Nelson Andrews has a masters degree from Purdue University in mathematical statistics and has excelled in courses such as sampling theory, regression analysis, design of experiments, mathematical statistics, stochastic processes, probability theory I and II and have attended scores of seminars on other topics in statistics. Nelson earned a bachelor's degree in mathematics from Johnson C. Smith University, where he excelled in courses such as calculus, differential equations, abstract algebra, number theory, topology, linear algebra and advanced calculus. Nelson has worked in the private sector and the Federal Government for more than 30 years as a mathematical statistician and programmer. His knowledge of professional statistical theories has been exemplified by his continued high performance on his jobs. In the area of regression analysis, analysis of variance and nonlinear regression, he has written several papers and participated in many seminars in which he was a speaker. One such paper is entitled "Simplification Of Maximum Likelihood Estimates Of Jelinski & Moranda Parameters". This paper was published in the American Statistical Association proceedings of 1986. He has also taught statistics courses such as engineering statistics and business statistics at Arizona State University (West Campus) in Glendale Arizona.

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