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Direct Methods for Sparse Linear Systems
Abstract
Preface 1. Introduction 2. Basic algorithms 3. Solving triangular systems 4. Cholesky factorization 5. Orthogonal methods 6. LU factorization 7. Fill-reducing orderings 8. Solving sparse linear systems 9. CSparse 10. Sparse matrices in MATLAB Appendix: Basics of the C programming language Bibliography Index.
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Cited by
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Lindgren, F., Rue, H., & Lindström, J. (2011) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2011.00777.x · Cited by 2,708
A Tutorial on Graph-Based SLAM
Grisetti, G., Kummerle, R., Stachniss, C., & Burgard, W. (2010) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2010.939925 · Cited by 1,345
Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding
O’Donoghue, B., Chu, E., Parikh, N., & Boyd, S. (2016) · Journal of Optimization Theory and Applications · doi:10.1007/s10957-016-0892-3 · Cited by 664
Large-Scale Convex Optimization for Dense Wireless Cooperative Networks
Shi, Y., Zhang, J., O'Donoghue, B., & Letaief, K. B. (2015) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2015.2443731 · Cited by 118
Challenges and Advances in Parallel Sparse Matrix-Matrix Multiplication
Buluc, A., & Gilbert, J. R. (2008) · 2008 37th International Conference on Parallel Processing · doi:10.1109/icpp.2008.45 · Cited by 112
Metadata
- Authors
- Davis, T. A.
- Venue
- Society for Industrial and Applied Mathematics eBooks
- Published
- 2006-01
- OpenAlex
- W1520511539
- Cited by
- 1,443
- References
- 0
- FWCI
- 13.22
- Type
- book
- Language
- en
- Open access
- closed
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