Elementary linear algebra with applications
โ Scribed by Hill, David Ross; Kolman, Bernard
- Publisher
- Pearson
- Year
- 2013;2014
- Tongue
- English
- Leaves
- 635
- Edition
- Pearson new international edition.,Ninth edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
For introductory sophomore-level courses in Linear Algebra or Matrix Theory. This text presents the basic ideas of linear algebra in a manner that offers students a fine balance between abstraction/theory and computational skills. The emphasis is on not just teaching how to read a proof but also on how to write a proof.
โฆ Table of Contents
Cover......Page 1
Table of Contents......Page 4
Glossary for Linear Algebra......Page 6
Chapter 1. Linear Equations and Matrices......Page 12
Chapter 2. Solving Linear Systems......Page 97
Chapter 4. Real Vector Spaces......Page 152
Chapter 5. Inner Product Spaces......Page 265
Chapter 6. Linear Transformations and Matrices......Page 338
Chapter 3. Determinants......Page 412
Chapter 7. Eigenvalues and Eigenvectors......Page 449
Chapter 8. Applications of Eigenvalues and Eigenvectors......Page 494
Chapter 9. MATLAB for Linear Algebra......Page 574
Chapter 10. MATLAB Exercises......Page 610
Photo Credits......Page 628
E......Page 630
M......Page 631
R......Page 632
V......Page 633
Z......Page 634
โฆ Subjects
Science;Mathematics;Nonfiction;Reference
๐ SIMILAR VOLUMES
This classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract. Readers consistently prai
This classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract. Readers consistently prai
This book presents the basic ideas of linear algebra in a manner that users will find understandable. It offers a fine balance between abstraction/theory and computational skills, and gives readers an excellent opportunity to learn how to handle abstract concepts. Included in this comprehensive an
The textbook itself I gave a high rating. I wouldn't bother with this solutions guide. It doesn't have many more solutions than what is alrady in the textbook. The only difference is that the solutions show you step by step how they were arrived (sometimes, though, only up to a certain point). Long
This text offers a unique balance of theory and a variety of standard and new applications along with solved technology-aided problems. The book includes the fundamental mathematical theory, as well as a wide range of applications, numerical methods, projects, and technology-assisted problems and so