| Faculty of Applied Science --> Department of Mathematics |
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Publications G. Meurant and P. Tichý, On computing quadrature-based bounds for the A-norm of the error in conjugate gradients, Numerical Algorithms, Online First, 25 May 2012. Z. Strakoš and P. Tichý, On efficient numerical approximation of the bilinear form c*A-1b , SIAM Journal on Scientific Computing, Volume 33, Issue 2, pp. 565-587, 2011. V. Faber, J. Liesen and P. Tichý, On Chebyshev polynomials of matrices, SIAM Journal on Matrix Analysis and Applications, Volume 31, Issue 4, pp. 2205-2221, 2010. J. Liesen and P. Tichý, On best approximations of polynomials in matrices in the matrix 2-norm, SIAM Journal on Matrix Analysis and Applications, Volume 31, Issue 2, pp. 853-863, 2009. V. Faber, J. Liesen and P. Tichý, On orthogonal reduction to Hessenberg form with small bandwidth, Numerical Algorithms, Volume 51, pp. 133-142, 2009. V. Faber, J. Liesen and P. Tichý, The Faber-Manteuffel theorem for linear operators, SIAM Journal on Numerical Analysis, Volume 46, pp. 1323-1337, 2008. P. Tichý, J. Liesen and V. Faber, On worst-case GMRES, ideal GMRES, and the polynomial numerical hull of a Jordan block, Electronic Transactions on Numerical Analysis (ETNA), Volume 26, pp. 453-473, 2007. D. P. O'Leary, Z. Strakoš and P. Tichý, On sensitivity of Gauss-Christoffel quadrature, Numerische Mathematik, Volume 107, pp. 147-174, 2007. Z. Strakoš and P. Tichý, Error Estimation in Preconditioned Conjugate Gradients, BIT Numerical Mathematics, Volume 45, pp. 789-817, 2005. J. Liesen and P. Tichý, On the worst-case convergence of MR and CG for symmetric positive definite tridiagonal Toeplitz matrices, Electronic Transactions on Numerical Analysis (ETNA), Volume 20, pp. 180-197, 2005. J. Liesen and P. Tichý, Convergence analysis of Krylov subspace methods, GAMM Mitteilungen, Band 27, Heft 2, 2004. J. Liesen and P. Tichý, The worst-case GMRES for normal matrices , BIT Numerical Mathematics, Volume 44, pp. 79-98, 2004. Z. Strakoš and P. Tichý, On Error Estimation in the Conjugate Gradient Method and Why It Works In Finite Precision Computations, Electronic Transactions on Numerical Analysis (ETNA), Volume 13, pp. 56-80, 2002. P. Tichý and J. Zítko, Derivation of BiCG from the conditions defining Lanczos' method for solving a system of linear equations, Application of Mathematics 5, (43), pp. 381--388, 1998.
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