References in zbMATH (referenced in 20 articles )

Showing results 1 to 20 of 20.
Sorted by year (citations)

  1. Duff, Iain; Hogg, Jonathan; Lopez, Florent: A new sparse (LDL^T) solver using a posteriori threshold pivoting (2020)
  2. Druinsky, Alex; Carlebach, Eyal; Toledo, Sivan: Wilkinson’s inertia-revealing factorization and its application to sparse matrices. (2018)
  3. Duff, Iain; Lopez, Florent; Nakov, Stojce: Sparse direct solution on parallel computers (2018)
  4. Scott, Jennifer; Tůma, Miroslav: A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows (2018)
  5. Gould, Nicholas I. M.; Robinson, Daniel P.: A dual gradient-projection method for large-scale strictly convex quadratic problems (2017)
  6. Gould, Nicholas; Scott, Jennifer: The state-of-the-art of preconditioners for sparse linear least-squares problems (2017)
  7. Scott, Jennifer: On using Cholesky-based factorizations and regularization for solving rank-deficient sparse linear least-squares problems (2017)
  8. Scott, Jennifer; Tůma, Miroslav: Improving the stability and robustness of incomplete symmetric indefinite factorization preconditioners. (2017)
  9. Wan, Wei; Biegler, Lorenz T.: Structured regularization for barrier NLP solvers (2017)
  10. Barker, Andrew T.; Rees, Tyrone; Stoll, Martin: A fast solver for an H1 regularized PDE-constrained optimization problem (2016)
  11. Dunning, Peter D.; Ovtchinnikov, Evgueni; Scott, Jennifer; Kim, H. Alicia: Level-set topology optimization with many linear buckling constraints using an efficient and robust eigensolver (2016)
  12. Hogg, Jonathan D.; Ovtchinnikov, Evgueni; Scott, Jennifer A.: A sparse symmetric indefinite direct solver for GPU architectures (2016)
  13. Gill, Philip E.; Wong, Elizabeth: Methods for convex and general quadratic programming (2015)
  14. Hogg, Jonathan; Scott, Jennifer: On the use of suboptimal matchings for scaling and ordering sparse symmetric matrices. (2015)
  15. Arioli, M.; Scott, J.: Chebyshev acceleration of iterative refinement (2014)
  16. Hogg, J. D.; Scott, J. A.: Compressed threshold pivoting for sparse symmetric indefinite systems (2014)
  17. Scott, Jennifer; Tůma, Miroslav: \textttHSL_MI28: an efficient and robust limited-memory incomplete Cholesky factorization code (2014)
  18. Scott, Jennifer; Tůma, Miroslav: On signed incomplete Cholesky factorization preconditioners for saddle-point systems (2014)
  19. Hogg, Jonathan D.; Scott, Jennifer A.: Pivoting strategies for tough sparse indefinite systems (2013)
  20. Hogg, Jonathan; Scott, Jennifer: New parallel sparse direct solvers for multicore architectures (2013)