ALBERT---Software for scientific computations and applications.
Schmidt, Alfred, Siebert, K.G. (2001)
Acta Mathematica Universitatis Comenianae. New Series
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Schmidt, Alfred, Siebert, K.G. (2001)
Acta Mathematica Universitatis Comenianae. New Series
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Philippe R. B. Devloo, Gustavo C. Longhin (2002)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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This contribution gives an overview of current research in applying object oriented programming to scientific computing at the computational mechanics laboratory (LABMEC) at the school of civil engineering – UNICAMP. The main goal of applying object oriented programming to scientific computing is to implement increasingly complex algorithms in a structured manner and to hide the complexity behind a simple user interface. The following areas are current topics of research and documented...
Valdman, Jan (2009)
Advances in Numerical Analysis
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Jan Brandts (1999)
Applications of Mathematics
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We will investigate the possibility to use superconvergence results for the mixed finite element discretizations of some time-dependent partial differential equations in the construction of a posteriori error estimators. Since essentially the same approach can be followed in two space dimensions, we will, for simplicity, consider a model problem in one space dimension.
Khodier, Ahmed M.M., Hassan, Adel Y. (1997)
International Journal of Mathematics and Mathematical Sciences
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Nikolay Koshev, Larisa Beilina (2013)
Open Mathematics
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We propose an adaptive finite element method for the solution of a linear Fredholm integral equation of the first kind. We derive a posteriori error estimates in the functional to be minimized and in the regularized solution to this functional, and formulate corresponding adaptive algorithms. To do this we specify nonlinear results obtained earlier for the case of a linear bounded operator. Numerical experiments justify the efficiency of our a posteriori estimates applied both to the...
Abigail Wacher (2013)
Open Mathematics
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We compare numerical experiments from the String Gradient Weighted Moving Finite Element method and a Parabolic Moving Mesh Partial Differential Equation method, applied to three benchmark problems based on two different partial differential equations. Both methods are described in detail and we highlight some strengths and weaknesses of each method via the numerical comparisons. The two equations used in the benchmark problems are the viscous Burgers’ equation and the porous medium...