
eBook - PDF
Numerical Algorithms
Methods for Computer Vision, Machine Learning, and Graphics
- 400 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig
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Yes, you can access Numerical Algorithms by Justin Solomon in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Graphics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Accessing the E-book edition
- Dedication
- Contents
- Preface
- Acknowledgments
- Section I: Preliminaries
- Chapter 1: Mathematics Review
- Chapter 2: Numerics and Error Analysis
- Section II: Linear Algebra
- Chapter 3: Linear Systems and the LU Decomposition
- Chapter 4: Designing and Analyzing Linear Systems
- Chapter 5: Column Spaces and QR
- Chapter 6: Eigenvectors
- Chapter 7: Singular Value Decomposition
- Section III: Nonlinear Techniques
- Chapter 8: Nonlinear Systems
- Chapter 9: Unconstrained Optimization
- Chapter 10: Constrained Optimization
- Chapter 11: Iterative Linear Solvers
- Chapter 12: Specialized Optimization Methods
- Section IV: Functions, Derivatives, and Integrals
- Chapter 13: Interpolation
- Chapter 14: Integration and Differentiation
- Chapter 15: Ordinary Differential Equations
- Chapter 16: Partial Differential Equations
- Bibliography
- Back Cover