Elementary Linear Algebra

About the Authors

Stephen Andrilli holds a PhD in mathematics from Rutgers University, and is an Emeritus Professor in the Mathematics and Computer Science Department at La Salle University in Philadelphia, PA. He has taught linear algebra to sophomore/junior mathematics, mathematics-education, chemistry, geology, and other science majors for over 35 years. Dr. Andrilli’s other mathematical interests include history of mathematics, college geometry, finite group theory, and mathematics-education, for which he served as a supervisor of undergraduate and graduate student-teachers for almost two decades.

David Hecker has a PhD in mathematics from Rutgers University, and is an Emeritus Professor in the Mathematics Department at Saint Joseph’s University in Philadelphia, PA. He has taught linear algebra to sophomore/junior mathematics and science majors for over three decades. Dr. Hecker has previously served two terms as Chair of his department. His other mathematical interests include real and complex analysis, and the quicksand of the Collatz Conjecture.

About this book

Elementary Linear Algebra, Sixth Edition, provides a solid introduction to both the computational and theoretical aspects of linear algebra. Many important real-world applications of linear algebra are covered, including graph theory, circuit theory, Markov chains, elementary coding theory, least-squares polynomials and least-squares solutions for inconsistent systems, linear recurrence relations, linear differential equations, computer graphics and quadratic forms. Also, many computational techniques in linear algebra are presented, including iterative methods for solving linear systems, LDU decomposition, the power method for finding eigenvalues, QR decomposition, and singular value decomposition and its usefulness in digital imaging.