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- J Karátson, T Kurics
- 2006

The conjugate gradient method is a widespread way of solving nonsymmetric linear algebraic systems, in particular for large systems arising from discretized elliptic problems. A celebrated property of the CGM is superlinear convergence, see the book [2] where a comprehensive summary is given on the convergence of the CGM. For discretized elliptic problems,… (More)

- János Karátson, Tamás Kurics, Ivan Lirkov
- Numerical Methods and Applications
- 2006

- Tamás Kurics, Denis Menshykau, Dagmar Iber
- Physical review. E, Statistical, nonlinear, and…
- 2014

Turing mechanisms can yield a large variety of patterns from noisy, homogenous initial conditions and have been proposed as patterning mechanism for many developmental processes. However, the molecular components that give rise to Turing patterns have remained elusive, and the small size of the parameter space that permits Turing patterns to emerge makes it… (More)

- János Karátson, Tamás Kurics
- NAA
- 2008

- Tamás Kurics
- LSSC
- 2005

- Tamás Kurics
- Computers & Mathematics with Applications
- 2008

2010 1 Introduction The numerical solution of linear elliptic partial differential equations consists of two main steps: discretization and iteration, where generally some conjugate gradient method is used for solving the finite element discretization of the problem. However, when for elliptic problems the dis-cretization parameter tends to zero, the… (More)

- Karoline Skov Dalgaard, Henrik Gammelager, Claus Sværke, Tamás Kurics, Karynsa Cetin, Christian Fynbo Christiansen
- Clinical epidemiology
- 2015

OBJECTIVE
Skeletal-related events (SREs) among patients with bone metastases from lung cancer may be associated with considerable use of health care resources. We analyzed in- and outpatient hospital contacts in relation to SREs among all Danish lung cancer patients with bone metastases.
METHODS
For this cohort study, we used the Danish Cancer Registry… (More)

- Tamás Kurics
- J. Computational Applied Mathematics
- 2010

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