Book contents
- Frontmatter
- Contents
- Preface
- PART I MACHINES AND COMPUTATION
- PART II LINEAR SYSTEMS
- 4 Building Blocks – Floating Point Numbers and Basic Linear Algebra
- 5 Direct Methods for Linear Systems and LU Decomposition
- 6 Direct Methods for Systems with Special Structure
- 7 Error Analysis and QR Decomposition
- 8 Iterative Methods for Linear Systems
- 9 Finding Eigenvalues and Eigenvectors
- PART III MONTE CARLO METHODS
- APPENDIX: PROGRAMMING EXAMPLES
- References
- Index
7 - Error Analysis and QR Decomposition
Published online by Cambridge University Press: 12 December 2009
Book contents
- Frontmatter
- Contents
- Preface
- PART I MACHINES AND COMPUTATION
- PART II LINEAR SYSTEMS
- 4 Building Blocks – Floating Point Numbers and Basic Linear Algebra
- 5 Direct Methods for Linear Systems and LU Decomposition
- 6 Direct Methods for Systems with Special Structure
- 7 Error Analysis and QR Decomposition
- 8 Iterative Methods for Linear Systems
- 9 Finding Eigenvalues and Eigenvectors
- PART III MONTE CARLO METHODS
- APPENDIX: PROGRAMMING EXAMPLES
- References
- Index
- Type
- Chapter
- Information
- An Introduction to Parallel and Vector Scientific Computation , pp. 172 - 185Publisher: Cambridge University PressPrint publication year: 2006