Threshold hypergraphs. - Jan Reiterman; Vojtech Rödl; Edita Sinajová; Miroslav Tuma (Discret. Math., 1985)

A quadratic programming algorithm for large and sparse problems. - Miroslav Tuma (Kybernetika, 1991)

On the Efficiency of Superscalar and Vector Computer for some Problems in Scientif Computing. - Miroslav Tuma; Miroslav Rozlozník (SOFSEM, 1995)

On the Role of Orthogonality in the GMRES Method. - Miroslav Rozlozník; Zdenek Strakos; Miroslav Tuma (SOFSEM, 1996)

The Potential Fluid Flow Problem and the Convergence Rate of the Minimal Residual Method. - Jirí Maryska; Miroslav Rozlozník; Miroslav Tuma (Numer. Linear Algebra Appl., 1996)

A Sparse Approximate Inverse Preconditioner for the Conjugate Gradient Method. - Michele Benzi; Carl Dean Meyer; Miroslav Tuma (SIAM J. Sci. Comput., 1996)

A Sparse Approximate Inverse Preconditioner for Nonsymmetric Linear Systems. - Michele Benzi; Miroslav Tuma (SIAM J. Sci. Comput., 1998)

Parallel Preconditioning with Factorized Sparse Approximate Inverses. - Michele Benzi; José Marín; Miroslav Tuma (PP, 1999)

Robust Approximate Inverse Preconditioning for the Conjugate Gradient Method. - Michele Benzi; Jane Cullum; Miroslav Tuma (SIAM J. Sci. Comput., 2000)

Preconditioning Highly Indefinite and Nonsymmetric Matrices. - Michele Benzi; John C. Haws; Miroslav Tuma (SIAM J. Sci. Comput., 2000)

Orderings for Factorized Sparse Approximate Inverse Preconditioners. - Michele Benzi; Miroslav Tuma (SIAM J. Sci. Comput., 2000)

Schur Complement Systems in the Mixed-Hybrid Finite Element Approximation of the Potential Fluid Flow Problem. - Jirí Maryska; Miroslav Rozlozník; Miroslav Tuma (SIAM J. Sci. Comput., 2000)

Primal vs. Dual Variable Approach for Mixed-Hybrid Finite Element Approximation of the Potential Fluid Flow Problem in Porous Media. - Jirí Maryska; Miroslav Rozlozník; Miroslav Tuma (LSSC, 2001)

A Note on the LDLT Decomposition of Matrices from Saddle-Point Problems. - Miroslav Tuma (SIAM J. Matrix Anal. Appl., 2002)

A robust incomplete factorization preconditioner for positive definite matrices. - Michele Benzi; Miroslav Tuma (Numer. Linear Algebra Appl., 2003)

Effects of problem decomposition (partitioning) on the rate of convergence of parallel numerical algorithms. - Jane K. Cullum; Keith Johnson; Miroslav Tuma (Numer. Linear Algebra Appl., 2003)

A Robust Preconditioner with Low Memory Requirements for Large Sparse Least Squares Problems. - Michele Benzi; Miroslav Tuma (SIAM J. Sci. Comput., 2003)

Improving Triangular Preconditioner Updates for Nonsymmetric Linear Systems. - Jurjen Duintjer Tebbens; Miroslav Tuma (LSSC, 2007)

Efficient Preconditioning of Sequences of Nonsymmetric Linear Systems. - Jurjen Duintjer Tebbens; Miroslav Tuma (SIAM J. Sci. Comput., 2007)

Balanced Incomplete Factorization. - Rafael Bru; José Marín; José Mas; Miroslav Tuma (SIAM J. Sci. Comput., 2008)

Factorization-Based Graph Repartitionings. - Katerina Jurková; Miroslav Tuma (LSSC, 2009)

Preconditioner updates for solving sequences of linear systems in matrix-free environment. - Jurjen Duintjer Tebbens; Miroslav Tuma (Numer. Linear Algebra Appl., 2010)

Improved Balanced Incomplete Factorization. - Rafael Bru; José Marín; José Mas; Miroslav Tuma (SIAM J. Matrix Anal. Appl., 2010)

On Incremental Condition Estimators in the 2-Norm. - Jurjen Duintjer Tebbens; Miroslav Tuma (SIAM J. Matrix Anal. Appl., 2014)

Preconditioned Iterative Methods for Solving Linear Least Squares Problems. - Rafael Bru; José Marín; José Mas; Miroslav Tuma (SIAM J. Sci. Comput., 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)

Approximate inverse preconditioners with adaptive dropping. - Jirí Kopal; Miroslav Rozlozník; Miroslav Tuma (Adv. Eng. Softw., 2015)

Factorized Approximate Inverses with Adaptive Dropping. - Jirí Kopal; Miroslav Rozlozník; Miroslav Tuma (SIAM J. Sci. Comput., 2016)

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

An adaptive multilevel factorized sparse approximate inverse preconditioning. - Jirí Kopal; Miroslav Rozlozník; Miroslav Tuma (Adv. Eng. Softw., 2017)

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

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

Convergence study of isogeometric analysis based on Bézier extraction in electronic structure calculations. - Robert Cimrman; Matyás Novák; Radek Kolman; Miroslav Tuma; Jirí Plesek; Jirí Vackár (Appl. Math. Comput., 2018)

Isogeometric analysis in electronic structure calculations. - Robert Cimrman; Matyás Novák; Radek Kolman; Miroslav Tuma; Jirí Vackár (Math. Comput. Simul., 2018)

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

The Numerical Stability Analysis of Pipelined Conjugate Gradient Methods: Historical Context and Methodology. - Erin C. Carson; Miroslav Rozlozník; Zdenek Strakos; Petr Tichý; Miroslav Tuma (SIAM J. Sci. Comput., 2018)

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

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

Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering. - Martin Spisák; Radek Bartyzal; Antonín Hoskovec; Ladislav Peska; Miroslav Tuma (RecSys, 2023)

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)

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)