Introduction to applied linear algebra : vectors, matrices, and least squares /
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York, NY :
Cambridge University Press,
2018.
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| Subjects: |
Table of Contents:
- Vectors
- Linear functions
- Norm and distance
- Clustering
- Linear independence
- Matrices
- Matrix examples
- Linear equations
- Linear dynamical systems
- Matrix multiplication
- Matrix inverses
- Least squares
- Least squares data fitting
- Least squares classification
- Multi-objective least squares
- Constrained least squares
- Constrained least squares applications
- Nonlinear least squares
- Constrained nonlinear least squares.