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Elementary Linear Algebra, 10th EditionMarch 2010, ©2010

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CHAPTER 2 DETERMINANTS.
CHAPTER 3 EUCLIDEAN VECTOR SPACES.
CHAPTER 4 GENERAL VECTOR SPACES.
CHAPTER 5 EIGNVALUES AND EIGENVECTORS.
CHAPTER 6 INNER PRODUCT SPACES.
CHAPTER 7 DIAGONALIZATION AND QUADRATIC FORMS.
CHAPTER 8 LINEAR TRANSFORMATIONS.
CHAPTER 9 NUMERICAL METHODS.
 More basic applications are covered throughout
 Sectionend Concept Review helps students to review and prepare for exams
 Skills listed at the end of every section are learning objectives that students and professors can use to measure progress
 True/false exercises quickly assess conceptual understanding and logical reasoning
 Chapters 3 and 4 from the 9^{th} are combined to form a single chapter on Euclidean vector spaces, providing more compact coverage and facilitating earlier introduction of general vector spaces
 Eigenvalues and eigenvectors are introduced earlier, in chapter 5, making it easier for instructors who want to spend more time on these important topics
 Chapter 9 focuses on numerical approaches that better reflect current usage of computers
Proof Sketches – Students sharpen their mathematical reasoning skills and understanding of proofs by filling in justifications for proof steps in some exercises.
Emphasizes Visualization – Geometric aspects of various topics are emphasized, to support visual learners, and to provide an additional layer of understanding for all students. The geometric approach naturally leads to contemporary applications of linear algebra in computer graphics that are covered in the text.
Mathematically Sound – Mathematical precision appropriate for mathematics majors is maintained in a book whose explanations and pedagogy meet the needs of engineering, science, and business/economics students.
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