David Poole
Publisher: Brooks/Cole
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|---|---|---|---|
| Semester | $47.00 | $75.00 | $35.00 |
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- Chapter 1: Vectors
- 1.0: Introduction: The Racetrack Game
- 1.1: The Geometry and Algebra of Vectors (11)
- 1.2: Length and Angle: The Dot Product (7)
- 1.3: Lines and Planes (12)
- 1.4: Applications (7)
- 1: Chapter Review
- Chapter 2: Systems of Linear Equations
- 2.0: Introduction: Triviality
- 2.1: Introduction to Systems of Linear Equations (6)
- 2.2: Direct Methods for Solving Linear Systems (10)
- 2.3: Spanning Sets and Linear Independence (9)
- 2.4: Applications (11)
- 2.5: Iterative Methods for Solving Linear Systems (2)
- 2: Chapter Review
- Chapter 3: Matrices
- 3.0: Introduction:Matrices in Action
- 3.1: Matrix Operations (10)
- 3.2: Matrix Algebra (8)
- 3.3: The Inverse of a Matrix (9)
- 3.4: The LU Factorization (6)
- 3.5: Subspaces, Basis, Dimension, and Rank (7)
- 3.6: Introduction to Linear Transformations (9)
- 3.7: Applications (14)
- 3: Chapter Review
- Chapter 4: Eigenvalues and Eigenvectors
- 4.0: Introduction: A Dynamical System on Graphs
- 4.1: Introduction to Eigenvalues and Eigenvectors (7)
- 4.2: Determinants (9)
- 4.3: Eigenvalues and Eigenvectors of n n Matrices (6)
- 4.4: Similarity and Diagonalization (6)
- 4.5: Iterative Methods for Computing Eigenvalues (8)
- 4.6: Applications and the Perron-Frobenius Theorem (10)
- 4: Chapter Review
- Chapter 5: Orthogonality
- 5.0: Introduction: Shadows on a Wall
- 5.1: Orthogonality in ℝn (5)
- 5.2: Orthogonal Complements and Orthogonal Projections (8)
- 5.3: The Gram-Schmidt Process and the QR Factorization (7)
- 5.4: Orthogonal Diagonalization of Symmetric Matrices (5)
- 5.5: Applications (13)
- 5: Chapter Review
- Chapter 6: Vector Spaces
- 6.0: Introduction: Fibonacci in (Vector) Space
- 6.1: Vector Spaces and Subspaces (10)
- 6.2: Linear Independence, Basis, and Dimension (8)
- 6.3: Change of Basis (4)
- 6.4: Linear Transformations (6)
- 6.5: The Kernel and Range of a Linear Transformation (7)
- 6.6: The Matrix of a Linear Transformation (5)
- 6.7: Applications (6)
- 6: Chapter Review
- Chapter 7: Distance and Approximation
- 7.0: Introduction: Taxicab Geometry
- 7.1: Inner Product Spaces (4)
- 7.2: Norms and Distance Functions (6)
- 7.3: Least Squares Approximation (11)
- 7.4: The Singular Value Decomposition (6)
- 7.5: Applications (5)
- 7: Chapter Review
Questions Available within WebAssign
Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.
Question Availability Color Key
| BLACK questions are available now |
| BOLD ORANGE questions are under development |
| Group | Quantity | Questions |
|---|---|---|
| Chapter 1: Vectors | ||
| 1.1 | 11 | 002 006 009 012 015 017 026 033 035 044 049 |
| 1.2 | 7 | 003 009 015 024 037 040 049 |
| 1.3 | 12 | 002 004 008 011 013 021 024 028 030 032 034 043 |
| 1.4 | 7 | 004 009 011 015 022 026 031 |
| Chapter 2: Systems of Linear Equations | ||
| 2.1 | 6 | 011 014 020 025 028 034 |
| 2.2 | 10 | 010 014 017 026 027 031 032 046 049 054 |
| 2.3 | 9 | 002 003 005 007 014 023 025 033 035 |
| 2.4 | 11 | 001 003 005 007 008 016 019 024 025 027 028 |
| 2.5 | 2 | 001 007 |
| Chapter 3: Matrices | ||
| 3.1 | 10 | 002 004 005 008 009 015 022 023 024 032 |
| 3.2 | 8 | 002 003 005 006 009 010 014 023 |
| 3.3 | 9 | 001 006 007 011 025 031 034 048 064 |
| 3.4 | 6 | 002 004 007 010 013 023 |
| 3.5 | 7 | 012 017 021 027 029 035 054 |
| 3.6 | 9 | 001 002 012 021 022 024 031 032 037 |
| 3.7 | 14 | 001 003 004 006 015 019 022 031 038 044 051 056 060 081 |
| Chapter 4: Eigenvalues and Eigenvectors | ||
| 4.1 | 7 | 003 008 014 017 024 027 033 |
| 4.2 | 9 | 001 008 017 022 038 046 049 058 062 |
| 4.3 | 6 | 002 005 015 017 027 035 |
| 4.4 | 6 | 002 004 006 011 016 024 |
| 4.5 | 8 | 002 004 005 010 017 030 034 047 |
| 4.6 | 10 | 003 008 012 029 033 034 044 048 059 077 |
| Chapter 5: Orthogonality | ||
| 5.1 | 5 | 002 005 009 011 017 |
| 5.2 | 8 | 002 006 007 009 012 013 017 020 |
| 5.3 | 7 | 002 003 005 007 009 015 017 |
| 5.4 | 5 | 001 003 005 017 023 |
| 5.5 | 13 | 002 006 009 015 023 031 036 043 063 068 075 078 089 |
| Chapter 6: Vector Spaces | ||
| 6.1 | 10 | 001 002 005 015 019 025 034 051 053 056 |
| 6.2 | 8 | 002 006 008 010 019 022 028 050 |
| 6.3 | 4 | 002 006 010 012 |
| 6.4 | 6 | 002 004 014 016 018 025 |
| 6.5 | 7 | 002 003 006 010 011 015 017 |
| 6.6 | 5 | 001 002 007 027 031 |
| 6.7 | 6 | 001 004 006 008 018 025 |
| Chapter 7: Distance and Approximation | ||
| 7.1 | 4 | 001 003 020 026 |
| 7.2 | 6 | 002 005 020 023 026 037 |
| 7.3 | 11 | 004 008 012 015 020 025 027 029 035 038 047 |
| 7.4 | 6 | 004 013 022 038 041 045 |
| 7.5 | 5 | 001 005 023 030 038 |
| Total | 300 | |