Papers
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Worst-case evaluation complexity and optimality of second-order methods for nonconvex smooth optimization
C Cartis; NIM Gould; PL Toint;
Type: Preprint
Published in: Proceedings of the International Congress of Mathematicians
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Preordering saddle-point systems for sparse LDLT factorization without pivoting
S Lungten; WHA Schilders; JA Scott;
Type: Preprint
Published in: Numerical Linear Algebra with Applications
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QPLIB: a library of quadratic programming instances
F Furini; E Traversi; P Belotti; A Frangioni; A Gleixner; NIM Gould; L Liberti; A Lodi; R Misener; H Mittelmann; NV Sahinidis; S Vigerske; A Wiegele;
Type: Preprint
Published in: Mathematical Programming Computation
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Solving mixed sparse-dense linear least squares by preconditioned iterative methods
J Scott; M Tuma;
Type: Preprint
Published in: SIAM Journal on Scientific Computing
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Optimality of orders one to three and beyond : characterization and evaluation complexity in constrained nonconvex optimization
C Cartis; NIM Gould; PL Toint;
Type: Preprint
Published in: Journal of Complexity
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Experiments with sparse Cholesky using a parametrized task graph implementation
IS Duff; F Lopez;
Type: Report
Published in: Rutherford Appleton Laboratory Technical Reports (- 2022)
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Solving mixed sparse-dense linear least-squares problems by preconditioned iterative methods
J Scott; M Tuma;
Type: Journal Article
Published in: SIAM Journal on Scientific Computing
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Numerically Aware Orderings for Sparse Symmetric Indefinite Linear Systems
J Hogg; J Scott; S Thorne;
Type: Journal Article
Published in: ACM Transactions on Mathematical Software
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Improving the stability and robustness of incomplete symmetric indefinite factorization preconditioners
J Scott; M Tuma;
Type: Journal Article
Published in: Numerical Linear Algebra with Applications
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Fast synchronization-free algorithms for parallel sparse triangular solves with multiple right-hand sides
W Liu; A Li; JD Hogg; IS Duff; B Vinter;
Type: Journal Article
Published in: Concurrency and Computation: Practice and Experience
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Worst-case evaluation complexity of regularization methods for smooth unconstrained optimization using Hölder continuous gradients
C Cartis; N Gould; P Toint;
Type: Journal Article
Published in: Optimization Methods and Software
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Sparse direct solution on parallel computers
I Duff; F Lopez; S Nakov;
Type: Report
Published in: Rutherford Appleton Laboratory Technical Reports (- 2022)
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On Using Cholesky-Based Factorizations and Regularization for Solving Rank-Deficient Sparse Linear Least-Squares Problems
J Scott;
Type: Journal Article
Published in: SIAM Journal on Scientific Computing
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The Hellerman-Rarick algorithm
IS Duff; AM Erisman; JK Reid;
Type: Report
Published in: Rutherford Appleton Laboratory Technical Reports (- 2022)
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A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows
J Scott; M Tuma;
Type: Preprint
Published in: Numerical Algorithms
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The State-of-the-Art of Preconditioners for Sparse Linear Least-Squares Problems
N Gould; J Scott;
Type: Journal Article
Published in: ACM Transactions on Mathematical Software
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Improved second-order evaluation complexity for unconstrained nonlinear optimization using high-order regularized models
C Cartis; NIM Gould; PL Toint;
Type: Preprint
Published in: SIAM Journal on Optimization
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Convergence and evaluation-complexity analysis of a regularized tensor-Newton method for solving nonlinear least-squares problems
NIM Gould; T Rees; JA Scott;
Type: Preprint
Published in: Computational Optimization and Applications
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A higher order method for solving nonlinear least-squares problems
NIM Gould; T Rees; JA Scott;
Type: Preprint
Published in: SIAM Journal on Scientific Computing
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Second-Order Optimality and Beyond: Characterization and Evaluation Complexity in Convexly Constrained Nonlinear Optimization
C Cartis; NIM Gould; PL Toint;
Type: Journal Article
Published in: Foundations of Computational Mathematics