Number of items: 18.
Article
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: https://doi.org/10.1145/3412559
Dauzickaite, I., Lawless, A. S., Scott, J. A. and Van Leeuwen, P. J.
(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: https://doi.org/10.1002/nla.2313
Gould, N. I.M., Rees, T. and 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: https://doi.org/10.1007/s10589-019-00064-2
Scott, J. and Tuma, M.
(2019)
Sparse stretching for solving sparse-dense linear least-squares problems.
SIAM Journal on Scientific Computing, 41 (3).
A1604-A1625.
ISSN 1095-7197
doi: https://doi.org/10.1137/18M1181353
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: https://doi.org/10.1007/s11075-018-0478-2
Chow, E., Hartwig, A., Scott, J. and 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: https://doi.org/10.1016/j.jpdc.2018.04.017
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).
e2103.
ISSN 1099-1506
doi: https://doi.org/10.1002/nla.2103
Lungten, S., Schilders, W. H. A. and Scott, J. A.
(2018)
Preordering saddle-point systems for sparse LDLT
factorization without pivoting.
Numerical Linear Algebra with Applications, 25 (5).
e2173.
ISSN 1099-1506
doi: https://doi.org/10.1002/nla.2173
Hook, J., Scott, J., Tisseur, F. and Hogg, J.
(2018)
A max-plus approach to incomplete Cholesky factorization preconditioners.
SIAM Journal on Scientific Computing, 40 (4).
A1987-A2004.
ISSN 1095-7197
doi: https://doi.org/10.1137/16M1107735
Scott, J. and Tuma, M.
(2017)
Improving the stability and robustness of incomplete symmetric indefinite factorization preconditioners.
Numerical Linear Algebra with Applications, 24 (5).
e2099.
ISSN 1099-1506
doi: https://doi.org/10.1002/nla.2099
Hogg, J., Scott, J. and 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: https://doi.org/10.1145/3104991
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).
36.
ISSN 0098-3500
doi: https://doi.org/10.1145/3014057
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).
C319-C339.
ISSN 1095-7197
doi: https://doi.org/10.1137/16M1065380
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).
A2422-A2437.
ISSN 1095-7197
doi: https://doi.org/10.1137/16M1108339
Dunning, P. D., Ovtchinnikov, E., Scott, J. and Kim, H. A.
(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: https://doi.org/10.1002/nme.5203
Gould, N. and Scott, J.
(2016)
A note on performance profiles for benchmarking software.
ACM Transactions on Mathematical Software (TOMS), 43 (2).
15.
ISSN 0098-3500
doi: https://doi.org/10.1145/2950048
Hogg, J. D., Ovtchinnikov, E. and Scott, J. A.
(2016)
A sparse symmetric indefinite direct solver for GPU architectures.
ACM Transactions on Mathematical Software (TOMS), 42 (1).
1.
ISSN 0098-3500
doi: https://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).
C603-C623.
ISSN 1095-7197
doi: https://doi.org/10.1137/16M105890X
This list was generated on Sat Apr 17 02:08:17 2021 UTC.