MATRIX ANALYSIS AND APPLIED LINEAR ALGEBRA BOOK AND SOLUTIONS MANUAL
Autor: MEYER.
Edición #1.
Año: 2000.
Editorial: SIAM.
TÍTULO
MATRIX ANALYSIS AND APPLIED LINEAR ALGEBRA BOOK AND SOLUTIONS MANUAL
AUTOR
MEYER
ISBN
978-0-898714-54-8
Editorial
SIAM
Edición
1
Año
2000
Reimp.
-
Año Reimp.
-
País
Estados Unidos
Peso o Kg.
2.12 kg.
Páginas
718
Idioma
INGLES
Precio
S/. 485.30
Comentario
"This book combines the best of what you look for in a reference and a textbook. It is comprehensive and detailed but with so many great problems and examples that it is guaranteed to excite the undergraduate reader. I enjoyed the book throughout, but found the treatment of the FFT to be particularly original and effective." -- Charles Van Loan, Professor and Chair, Department of Computer Science, Cornell University.
"I will say that I really enjoy the prose. It is a rare combination when the enthusiasm shines through, focused by erudition." -- Cleve Ashcraft, Livermore Software Technology Corporation.
Matrix Analysis and Applied Linear Algebra presents a modern treatment of linear algebra with a special emphasis on those applications such as numerical analysis, discrete and fast Fourier transforms, signal processing, statistical and stochastic processes aimed at math, science, and engineering students. These practical applications along with numerous historical comments are used to motivate the study of linear algebra. This book offers a more sophisticated approach than most elementary linear algebra texts; it provides a thoroughly rigorous treatment of the subject without an over-dependence on the traditional theorem-proof format. The large variety of detailed examples and exercises range from routine to computational to more difficult and stimulating challenges.
The textbook contains more than 240 examples, 650 exercises, historical notes, and other comments. The accompanying manual includes complete solutions to all the exercises. A CD-ROM that contains a searchable copy of the entire textbook and all solutions is included.
Chapter 1: Linear Equations
Chapter 2: Rectangular Systems and Echelon Forms
Chapter 3: Matrix Algebra
Chapter 4: Vector Spaces
Chapter 5: Norms, Inner Products, and Orthogonality
Chapter 6: Determinants
Chapter 7: Eigenvalues and Eigenvectors
Chapter 8: Perron-Frobenius Theory
Index