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Jennifer Scott

Email:
jennifer.scott@reading.ac.uk
Phone:
0118 378 8990
Job title:
Professor

Office

Room 312

Building location

Mathematics

Areas of interest

Sparse linear algebra
Parallel computing
Large-scale scientific computation
Mathematical software

Research centres and groups

Mathematics of Planet Earth

Websites/blogs

Prof Jennifer Scott's STFC website

Publications

Daužickaitė, I. ORCID: 0000-0002-1285-1764 , Lawless, A. , Scott, J. ORCID: 0000-0003-2130-1091 , Van Leeuwen, P. ORCID: 0000-0003-2325-5340 (2021) Randomised preconditioning for the forcing formulation of weak constraint 4D‐Var. Quarterly Journal of the Royal Meteorological Society ISSN: 1477-870X | doi: http://dx.doi.org/10.1002/qj.4151
Dauzickaite, I. , Lawless, A. , Scott, J. ORCID: 0000-0003-2130-1091 , Leeuwen, P. (2021) On time-parallel preconditioning for the state formulation of incremental weak constraint 4D-Var. Quarterly Journal of the Royal Meteorological Society ISSN: 1477-870X | doi: http://dx.doi.org/10.1002/qj.4140
Al Daas, H. , Rees, T. , Scott, J. ORCID: 0000-0003-2130-1091 (2021) Two-level Nystrom-Schur preconditioner for sparse symmetric positive definite matrices. SIAM Journal on Scientific Computing ISSN: 1095-7197

Scott, J. and Tuma, M. (2020) Strengths and limitations of stretching for least-squares problems with some dense rows. ACM Transactions on Mathematical Software (TOMS) , 47 (1). pp. 1-25. ISSN: 0098-3500 | doi: http://dx.doi.org/10.1145/3412559
Dauzickaite, I. , Lawless, A. , Scott, J. , Van Leeuwen, P. (2020) Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation. Numerical Linear Algebra with Applications , 27 (5). ISSN: 1099-1506 | doi: http://dx.doi.org/10.1002/nla.2313

Scott, J. and Tuma, M. (2019) Sparse stretching for solving sparse-dense linear least-squares problems. SIAM Journal on Scientific Computing , 41 (3). pp. A1604-A1625. ISSN: 1095-7197 | doi: http://dx.doi.org/10.1137/18M1181353
Gould, N. , Rees, T. , Scott, J. (2019) Convergence and evaluation-complexity analysis of a regularized tensor-Newton method for solving nonlinear least-squares problems. Computational Optimization and Applications , 73 (1). pp. 1-35. ISSN: 0926-6003 | doi: http://dx.doi.org/10.1007/s10589-019-00064-2

Chow, E. , Hartwig, A. , Scott, J. , Dongarra, J. (2018) Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning. Journal of Parallel and Distributed Computing , 119 pp. 219-230. ISSN: 0743-7315 | doi: http://dx.doi.org/10.1016/j.jpdc.2018.04.017
Hook, J. , Scott, J. , Tisseur, F. , Hogg, J. (2018) A max-plus approach to incomplete Cholesky factorization preconditioners. SIAM Journal on Scientific Computing , 40 (4). pp. A1987-A2004. ISSN: 1095-7197 | doi: http://dx.doi.org/10.1137/16M1107735
Lungten, S. , Schilders, W. , Scott, J. (2018) Preordering saddle-point systems for sparse LDLT factorization without pivoting. Numerical Linear Algebra with Applications , 25 (5). ISSN: 1099-1506 | doi: http://dx.doi.org/10.1002/nla.2173
Scott, J. and Tuma, M. (2018) A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows. Numerical Algorithms , 79 (4). pp. 1147-1168. ISSN: 1572-9265 | doi: http://dx.doi.org/10.1007/s11075-018-0478-2
Rees, T. and Scott, J. (2018) A comparative study of null-space factorizations for sparse symmetric saddle point systems. Numerical Linear Algebra with Applications , 25 (1). ISSN: 1099-1506 | doi: http://dx.doi.org/10.1002/nla.2103

Scott, J. and Tuma, M. (2017) Solving mixed sparse-dense linear least-squares problems by preconditioned iterative methods. SIAM Journal on Scientific Computing , 39 (6). pp. A2422-A2437. ISSN: 1095-7197 | doi: http://dx.doi.org/10.1137/16M1108339
Hogg, J. , Scott, J. , Thorne, S. (2017) Numerically-aware orderings for sparse symmetric indefinite linear systems. ACM Transactions on Mathematical Software (TOMS) , 44 (2). pp. 1-22. ISSN: 0098-3500 | doi: http://dx.doi.org/10.1145/3104991
Scott, J. (2017) On using Cholesky-based factorizations and regularization for solving rank-deficient sparse linear least-squares problems. SIAM Journal on Scientific Computing , 39 (4). pp. C319-C339. ISSN: 1095-7197 | doi: http://dx.doi.org/10.1137/16M1065380
Scott, J. and Gould, N. (2017) The state-of-the-art of preconditioners for sparse linear least-squares problems. ACM Transactions on Mathematical Software (TOMS) , 43 (4). ISSN: 0098-3500 | doi: http://dx.doi.org/10.1145/3014057
Scott, J. and Tuma, M. (2017) Improving the stability and robustness of incomplete symmetric indefinite factorization preconditioners. Numerical Linear Algebra with Applications , 24 (5). ISSN: 1099-1506 | doi: http://dx.doi.org/10.1002/nla.2099

Hogg, J. , Ovtchinnikov, E. , Scott, J. (2016) A sparse symmetric indefinite direct solver for GPU architectures. ACM Transactions on Mathematical Software (TOMS) , 42 (1). ISSN: 0098-3500 | doi: http://dx.doi.org/10.1145/2756548
Scott, J. and Tuma, M. (2016) Preconditioning of linear least squares by robust incomplete factorization for implicitly held normal equations. SIAM Journal on Scientific Computing , 38 (6). pp. C603-C623. ISSN: 1095-7197 | doi: http://dx.doi.org/10.1137/16M105890X
Gould, N. and Scott, J. (2016) A note on performance profiles for benchmarking software. ACM Transactions on Mathematical Software (TOMS) , 43 (2). ISSN: 0098-3500 | doi: http://dx.doi.org/10.1145/2950048
Dunning, P. , Ovtchinnikov, E. , Scott, J. , Kim, H. (2016) Level-set topology optimization with many linear buckling constraints using an efficient and robust eigensolver. International Journal for Numerical Methods in Engineering , 107 (12). pp. 1029-1053. ISSN: 0029-5981 | doi: http://dx.doi.org/10.1002/nme.5203