An Introduction to Parallel and Vector Scientific Computing: Index

Part I. Machines and Computation: 1. Introduction - the nature of high performance computation 2. Theoretical considerations - complexity 3. Machine implementations 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: 10. Monte Carlo simulation 11. Monte Carlo optimization Appendix: programming examples.