KEY BENEFIT: This trusted reference offers an intellectually honest, thought-provoking, sound introduction to linear algebra. Enables readers to grasp the subject with a challenging, yet visually accessible approach that does not sacrifice mathematical integrity. Adds over 400 new exercises to the
Linear Algebra with Applications
β Scribed by Steven J. Leon
- Publisher
- Pearson
- Year
- 2015
- Tongue
- English
- Leaves
- 521
- Series
- Featured Titles for Linear Algebra (Introductory)
- Edition
- 9ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book is for sophomore-level or junior/senior-level first courses in linear algebra and assumes calculus as a prerequisite.
Β
This thorough and accessible text, from one of the leading figures in the use of technology in linear algebra, gives students a challenging and broad understanding of the subject.Β The author infuses key concepts with their modern practical applications to offer students examples of how mathematics is used in the real world. Each chapter contains integrated worked examples and chapter tests.Β The book stresses the important roles geometry and visualization play in understanding linear algebra.
β¦ Table of Contents
Content: Preface --
Matrices and systems of equations --
Determinants --
Vector spaces --
Linear transformations --
Orthogonality --
Eigenvalues --
Numerical linear algebra --
Iterative methods (Online) --
Canonical forms (Online) --
Appendix: MATLAB.
β¦ Subjects
Algebras, Linear -- Textbooks;Algebras, Linear
π SIMILAR VOLUMES
Linear equations -- Linear transformations -- Subspaces of R[superscript]n and their dimensions -- Linear spaces -- Orthogonality and least squares -- Determinants -- Eigenvalues and Eigenvectors -- Symmetric matrices and quadratic forms -- Linear differential equations -- Appendix A: Vectors -- An
Holt's Linear Algebra with Applications blends computational and conceptual topics throughout. Early treatment of conceptual topics in the context of Euclidean space gives students more time, and a familiar setting, in which to absorb them. This organization also makes it possible to treat eigenvalu