Computing Selected Eigenvalues of Sparse Unsymmetric Matrices Using Subspace Iteration. - Iain S. Duff; Jennifer A. Scott (ACM Trans. Math. Softw., 1993)

An Arnoldi Code for Computing Selected Eigenvalues of Sparse, Real, Unsymmetric Matrices. - Jennifer A. Scott (ACM Trans. Math. Softw., 1995)

Frontal Software for the Solution of Sparse Linear Equations. - Iain S. Duff; Jennifer A. Scott (PARA, 1996)

The Design of a New Frontal Code for Solving Sparse, Unsymmetric Systems. - Iain S. Duff; Jennifer A. Scott (ACM Trans. Math. Softw., 1996)

Sparse Approximate-Inverse Preconditioners Using Norm-Minimization Techniques. - Nicholas I. M. Gould; Jennifer A. Scott (SIAM J. Sci. Comput., 1998)

A new row ordering strategy for frontal solvers. - Jennifer A. Scott (Numer. Linear Algebra Appl., 1999)

A frontal code for the solution of sparse positive-definite symmetric systems arising from finite-element applications. - Iain S. Duff; Jennifer A. Scott (ACM Trans. Math. Softw., 1999)

Reversing the row order for the row-by-row frontal method. - John K. Reid; Jennifer A. Scott (Numer. Linear Algebra Appl., 2001)

A Multilevel Algorithm for Wavefront Reduction. - Yifan Hu 001; Jennifer A. Scott (SIAM J. Sci. Comput., 2001)

Implementing Hager's exchange methods for matrix profile reduction. - John K. Reid; Jennifer A. Scott (ACM Trans. Math. Softw., 2002)

Parallel frontal solvers for large sparse linear systems. - Jennifer A. Scott (ACM Trans. Math. Softw., 2003)

An Evaluation of Sparse Direct Symmetric Solvers: An Introduction and Preliminary Findings. - Jennifer A. Scott; Yifan Hu 001; Nicholas I. M. Gould (PARA, 2004)

A parallel direct solver for large sparse highly unsymmetric linear systems. - Iain S. Duff; Jennifer A. Scott (ACM Trans. Math. Softw., 2004)

A numerical evaluation of HSL packages for the direct solution of large sparse, symmetric linear systems of equations. - Nicholas I. M. Gould; Jennifer A. Scott (ACM Trans. Math. Softw., 2004)

Ordering techniques for singly bordered block diagonal forms for unsymmetric parallel sparse direct solvers. - Yifan Hu 001; Jennifer A. Scott (Numer. Linear Algebra Appl., 2005)

Stabilized bordered block diagonal forms for parallel sparse solvers. - Iain S. Duff; Jennifer A. Scott (Parallel Comput., 2005)

The Design of a New Out-of-Core Multifrontal Solver. - John K. Reid; Jennifer A. Scott (PARA, 2006)

Reducing the Total Bandwidth of a Sparse Unsymmetric Matrix. - John K. Reid; Jennifer A. Scott (SIAM J. Matrix Anal. Appl., 2006)

A numerical evaluation of sparse direct solvers for the solution of large sparse symmetric linear systems of equations. - Nicholas I. M. Gould; Jennifer A. Scott; Yifan Hu 001 (ACM Trans. Math. Softw., 2007)

Experiences of sparse direct symmetric solvers. - Jennifer A. Scott; Yifan Hu 001 (ACM Trans. Math. Softw., 2007)

Algorithm 891: A fortran virtual memory system. - John K. Reid; Jennifer A. Scott (ACM Trans. Math. Softw., 2009)

An out-of-core sparse Cholesky solver. - John K. Reid; Jennifer A. Scott (ACM Trans. Math. Softw., 2009)

A note on fast approximate minimum degree orderings for symmetric matrices with some dense rows. - H. Sue Dollar; Jennifer A. Scott (Numer. Linear Algebra Appl., 2010)

Design of a Multicore Sparse Cholesky Factorization Using DAGs. - Jonathan D. Hogg; John K. Reid; Jennifer A. Scott (SIAM J. Sci. Comput., 2010)

A fast and robust mixed-precision solver for the solution of sparse symmetric linear systems. - Jonathan D. Hogg; Jennifer A. Scott (ACM Trans. Math. Softw., 2010)

Scaling and pivoting in an out-of-core sparse direct solver. - Jennifer A. Scott (ACM Trans. Math. Softw., 2010)

Partial factorization of a dense symmetric indefinite matrix. - John K. Reid; Jennifer A. Scott (ACM Trans. Math. Softw., 2011)

New Parallel Sparse Direct Solvers for Multicore Architectures. - Jonathan D. Hogg; Jennifer A. Scott (Algorithms, 2013)

On the effects of scaling on the performance of Ipopt - Jonathan D. Hogg; Jennifer A. Scott (CoRR, 2013)

An efficient analyse phase for element problems. - Jonathan D. Hogg; Jennifer A. Scott (Numer. Linear Algebra Appl., 2013)

Optimal Weighted Matchings for Rank-Deficient Sparse Matrices. - Jonathan D. Hogg; Jennifer A. Scott (SIAM J. Matrix Anal. Appl., 2013)

Pivoting strategies for tough sparse indefinite systems. - Jonathan D. Hogg; Jennifer A. Scott (ACM Trans. Math. Softw., 2013)

Chebyshev acceleration of iterative refinement. - Mario Arioli; Jennifer A. Scott (Numer. Algorithms, 2014)

Level-based heuristics and hill climbing for the antibandwidth maximization problem. - Jennifer A. Scott; Yifan Hu 001 (Numer. Linear Algebra Appl., 2014)

Compressed Threshold Pivoting for Sparse Symmetric Indefinite Systems. - Jonathan D. Hogg; Jennifer A. Scott (SIAM J. Matrix Anal. Appl., 2014)

On Positive Semidefinite Modification Schemes for Incomplete Cholesky Factorization. - Jennifer A. Scott; Miroslav Tuma (SIAM J. Sci. Comput., 2014)

On Signed Incomplete Cholesky Factorization Preconditioners for Saddle-Point Systems. - Jennifer A. Scott; Miroslav Tuma (SIAM J. Sci. Comput., 2014)

HSL_MI28: An Efficient and Robust Limited-Memory Incomplete Cholesky Factorization Code. - Jennifer A. Scott; Miroslav Tuma (ACM Trans. Math. Softw., 2014)

On the use of suboptimal matchings for scaling and ordering sparse symmetric matrices. - Jonathan D. Hogg; Jennifer A. Scott (Numer. Linear Algebra Appl., 2015)

Preconditioning of Linear Least Squares by Robust Incomplete Factorization for Implicitly Held Normal Equations. - Jennifer A. Scott; Miroslav Tuma (SIAM J. Sci. Comput., 2016)

A Note on Performance Profiles for Benchmarking Software. - Nicholas I. M. Gould; Jennifer A. Scott (ACM Trans. Math. Softw., 2016)

A Sparse Symmetric Indefinite Direct Solver for GPU Architectures. - Jonathan D. Hogg; Evgueni E. Ovtchinnikov; Jennifer A. Scott (ACM Trans. Math. Softw., 2016)

Improving the stability and robustness of incomplete symmetric indefinite factorization preconditioners. - Jennifer A. Scott; Miroslav Tuma (Numer. Linear Algebra Appl., 2017)

On Using Cholesky-Based Factorizations and Regularization for Solving Rank-Deficient Sparse Linear Least-Squares Problems. - Jennifer A. Scott (SIAM J. Sci. Comput., 2017)

Solving Mixed Sparse-Dense Linear Least-Squares Problems by Preconditioned Iterative Methods. - Jennifer A. Scott; Miroslav Tuma (SIAM J. Sci. Comput., 2017)

The State-of-the-Art of Preconditioners for Sparse Linear Least-Squares Problems. - Nicholas I. M. Gould; Jennifer A. Scott (ACM Trans. Math. Softw., 2017)

Numerically Aware Orderings for Sparse Symmetric Indefinite Linear Systems. - Jonathan D. Hogg; Jennifer A. Scott; Sue Thorne (ACM Trans. Math. Softw., 2017)

Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning. - Edmond Chow; Hartwig Anzt; Jennifer A. Scott; Jack J. Dongarra (J. Parallel Distributed Comput., 2018)

A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows. - Jennifer A. Scott; Miroslav Tuma (Numer. Algorithms, 2018)

Preordering saddle-point systems for sparse LDLT factorization without pivoting. - Sangye Lungten; Wil H. A. Schilders; Jennifer A. Scott (Numer. Linear Algebra Appl., 2018)

A comparative study of null-space factorizations for sparse symmetric saddle point systems. - Tyrone Rees; Jennifer A. Scott (Numer. Linear Algebra Appl., 2018)

A Max-Plus Approach to Incomplete Cholesky Factorization Preconditioners. - James L. Hook; Jennifer A. Scott; Françoise Tisseur; Jonathan D. Hogg (SIAM J. Sci. Comput., 2018)

Convergence and evaluation-complexity analysis of a regularized tensor-Newton method for solving nonlinear least-squares problems. - Nicholas I. M. Gould; Tyrone Rees; Jennifer A. Scott (Comput. Optim. Appl., 2019)

Sparse Stretching for Solving Sparse-Dense Linear Least-Squares Problems. - Jennifer A. Scott; Miroslav Tuma (SIAM J. Sci. Comput., 2019)

Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation. - Ieva Dauzickaite; Amos S. Lawless; Jennifer A. Scott; Peter Jan van Leeuwen (Numer. Linear Algebra Appl., 2020)

Randomised preconditioning for the forcing formulation of weak constraint 4D-Var. - Ieva Dauzickaite; Amos S. Lawless; Jennifer A. Scott; Peter Jan van Leeuwen (CoRR, 2021)

On preconditioning the state formulation of incremental weak constraint 4D-Var. - Ieva Dauzickaite; Amos S. Lawless; Jennifer A. Scott; Peter Jan van Leeuwen (CoRR, 2021)

Solving large linear least squares with linear equality constraints. - Jennifer A. Scott; Miroslav Tuma (CoRR, 2021)

Two-Level Nyström-Schur Preconditioner for Sparse Symmetric Positive Definite Matrices. - Hussam Al Daas; Tyrone Rees; Jennifer A. Scott (SIAM J. Sci. Comput., 2021)

Strengths and Limitations of Stretching for Least-squares Problems with Some Dense Rows. - Jennifer A. Scott; Miroslav Tuma (ACM Trans. Math. Softw., 2021)

A null-space approach for large-scale symmetric saddle point systems with a small and non zero (2, 2) block. - Jennifer A. Scott; Miroslav Tuma (Numer. Algorithms, 2022)

A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations. - Hussam Al Daas; Pierre Jolivet; Jennifer A. Scott (SIAM J. Sci. Comput., 2022)

A Computational Study of Using Black-box QR Solvers for Large-scale Sparse-dense Linear Least Squares Problems. - Jennifer A. Scott; Miroslav Tuma (ACM Trans. Math. Softw., 2022)

A note on incomplete Cholesky factorizations in half precision arithmetic. - Jennifer A. Scott; Miroslav Tuma (CoRR, 2024)

Avoiding Breakdown in Incomplete Factorizations in Low Precision Arithmetic. - Jennifer A. Scott; Miroslav Tuma (ACM Trans. Math. Softw., 2024)

Approximating sparse Hessian matrices using large-scale linear least squares. - Jaroslav M. Fowkes; Nicholas I. M. Gould; Jennifer A. Scott (Numer. Algorithms, 2024)

Sparse linear least-squares problems. - Jennifer A. Scott; Miroslav Tuma (Acta Numer., 2025)

A computational study of low precision incomplete Cholesky factorization preconditioners for sparse linear least-squares problems. - Jennifer A. Scott; Miroslav Tuma (CoRR, 2025)

An Introduction to Solving the Least-Squares Problem in Variational Data Assimilation. - Ieva Dauzickaite; M. A. Freitag; Selime Gürol; Amos S. Lawless; A. Ramage; Jennifer A. Scott; Jemima M. Tabeart (CoRR, 2025)

Approximating Large-Scale Hessian Matrices Using Secant Equations. - Jaroslav M. Fowkes; Nicholas I. M. Gould; Jennifer A. Scott (ACM Trans. Math. Softw., 2025)