Miroslav Tuma
Orcid: 0000-0003-2808-6929
According to our database1,
Miroslav Tuma
authored at least 46 papers
between 1985 and 2024.
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Bibliography
2024
ACM Trans. Math. Softw., June, 2024
CoRR, 2024
2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
2022
A Computational Study of Using Black-box QR Solvers for Large-scale Sparse-dense Linear Least Squares Problems.
ACM Trans. Math. Softw., 2022
A null-space approach for large-scale symmetric saddle point systems with a small and non zero (2, 2) block.
Numer. Algorithms, 2022
2021
Strengths and Limitations of Stretching for Least-squares Problems with Some Dense Rows.
ACM Trans. Math. Softw., 2021
2019
SIAM J. Sci. Comput., 2019
2018
The Numerical Stability Analysis of Pipelined Conjugate Gradient Methods: Historical Context and Methodology.
SIAM J. Sci. Comput., 2018
A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows.
Numer. Algorithms, 2018
Math. Comput. Simul., 2018
Convergence study of isogeometric analysis based on Bézier extraction in electronic structure calculations.
Appl. Math. Comput., 2018
2017
Solving Mixed Sparse-Dense Linear Least-Squares Problems by Preconditioned Iterative Methods.
SIAM J. Sci. Comput., 2017
Improving the stability and robustness of incomplete symmetric indefinite factorization preconditioners.
Numer. Linear Algebra Appl., 2017
Adv. Eng. Softw., 2017
2016
Preconditioning of Linear Least Squares by Robust Incomplete Factorization for Implicitly Held Normal Equations.
SIAM J. Sci. Comput., 2016
2015
2014
HSL_MI28: An Efficient and Robust Limited-Memory Incomplete Cholesky Factorization Code.
ACM Trans. Math. Softw., 2014
On Signed Incomplete Cholesky Factorization Preconditioners for Saddle-Point Systems.
SIAM J. Sci. Comput., 2014
SIAM J. Sci. Comput., 2014
SIAM J. Sci. Comput., 2014
2010
Preconditioner updates for solving sequences of linear systems in matrix-free environment.
Numer. Linear Algebra Appl., 2010
2009
Proceedings of the Large-Scale Scientific Computing, 7th International Conference, 2009
2008
2007
SIAM J. Sci. Comput., 2007
Proceedings of the Large-Scale Scientific Computing, 6th International Conference, 2007
2003
A Robust Preconditioner with Low Memory Requirements for Large Sparse Least Squares Problems.
SIAM J. Sci. Comput., 2003
Effects of problem decomposition (partitioning) on the rate of convergence of parallel numerical algorithms.
Numer. Linear Algebra Appl., 2003
Numer. Linear Algebra Appl., 2003
2002
A Note on the <i>LDL<sup>T</sup></i> Decomposition of Matrices from Saddle-Point Problems.
SIAM J. Matrix Anal. Appl., 2002
2001
Primal vs. Dual Variable Approach for Mixed-Hybrid Finite Element Approximation of the Potential Fluid Flow Problem in Porous Media.
Proceedings of the Large-Scale Scientific Computing, Third International Conference, 2001
2000
Schur Complement Systems in the Mixed-Hybrid Finite Element Approximation of the Potential Fluid Flow Problem.
SIAM J. Sci. Comput., 2000
SIAM J. Sci. Comput., 2000
SIAM J. Sci. Comput., 2000
SIAM J. Sci. Comput., 2000
1999
Parallel Preconditioning with Factorized Sparse Approximate Inverses.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999
1998
SIAM J. Sci. Comput., 1998
1996
SIAM J. Sci. Comput., 1996
The Potential Fluid Flow Problem and the Convergence Rate of the Minimal Residual Method.
Numer. Linear Algebra Appl., 1996
Proceedings of the SOFSEM '96: Theory and Practice of Informatics, 1996
1995
On the Efficiency of Superscalar and Vector Computer for some Problems in Scientif Computing.
Proceedings of the SOFSEM '95, 22nd Seminar on Current Trends in Theory and Practice of Informatics, Milovy, Czech Republic, November 23, 1995
1991
1985