Linear Algebra

Klappentext 3rd edition. Starts with the concrete and computational, and leads the reader to a choice of major applications. This title introduces deductive reasoning and helps the reader develop a facility with mathematical proofs. It provides a balanced approach to computation and theory by offering computational algorithms for finding eigenvalues and eigenvectors.

Autorentext
Richard Bronson is a Professor of Mathematics and Computer Science at Fairleigh Dickinson University and is Senior Executive Assistant to the President. Ph.D., in Mathematics from Stevens Institute of Technology. He has written several books and numerous articles on Mathematics. He has served as Interim Provost of the Metropolitan Campus, and has been Acting Dean of the College of Science and Engineering at the university in New Jersey Gabriel B. Costa is currently a visiting professor at the United States Military Academy at West Point and is on the faculty at Seton Hall. And is an engineer. He holds many titles and fills them with distinction. He has a B.S., M.S. and Ph.D. in Mathematics from Stevens Institute of Technology. He has also co-authored another Academic Press book with Richard Bronson, Matrix Methods. John T. Saccoman is Professor and Chair, Department of Mathematics and Computer Science, Seton Hall University, New Jersey received Ph.D., Stevens Institute of Technology, Hoboken, NJ, 1995 Research work on synthesis results in network reliability theory. He has published in several journals, authored supplementary materials, and is highly involved in the use of technology in applied mathematics. He has worked collaboratively on writings for Transforming the Curriculum Across the Disciplines Through Technology-Based Faculty Development and Writing-Intensive Course Redesign.

Klappentext

3rd edition.

Zusammenfassung
Starts with the concrete and computational, and leads the reader to a choice of major applications. This title introduces deductive reasoning and helps the reader develop a facility with mathematical proofs. It provides a balanced approach to computation and theory by offering computational algorithms for finding eigenvalues and eigenvectors.

Inhalt

PREFACE

1. MATRICES

2. VECTOR SPACES

3. LINEAR TRANSFORMATIONS

4. EIGENVALUES, EIGENVECTORS, AND DIFFERENTIAL EQUATIONS

5. EUCLIDEAN INNER PRODUCT

   APPENDIX A: DETERMINANTS

   APPENDIX B: JORDAN CANONICAL FORMS

   APPENDIX C: MARKOV CHAINS

   APPENDIX D: THE SIMPLEX METHOD, AN EXAMPLE

   APPENDIX E: A WORD ON NUMERICAL TECHNIQUES AND TECHNOLOGY

   ANSWERS AND HINTS TO SELECTED PROBLEMS

   INDEX