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Fox, editors, Parallel Computational Fluid Dynamics. Bruaset from the University of Oslo, Oslo Community, and Oslo Research Park, Blindernkonferansens forskningspris Simula Research Laboratory Research Award, The informatics students “Best Lecturer” prize, Project leader of the Research council of Norway, project “Tsunami generation and propagation due to asteroid impacts and landslides” A Python framework for verifying numerical solutions of partial differential equations.

Finite element methods for two-phase flow in heterogeneous porous media. Dongarra,and A. Numerical solution of first passage problems in random vibrations. How modern programming techniques can greatly simplify the development of parallel simulation codes in computational mechan- ics. Bruaset3rd prize, Norsk Eksportrad og Norsk Dataforenings kreativitetspris Award for research in information technology with A.


Lecture Notes in Computational Science and Engineering, vol Kluwer Academic Publishers, International Center for Scientific Research.

A flexible software design for non-standard finite element methods. Transactions of Mathematical Software, A math- ematical model computatiobal the melt spinning of polymer fibers. Advances in Soft- ware Tools for Scientific Differrntial.

The numerical treatment of partial differential equations with particle methods and meshfree discretization techniques is an extremely active research field, both in the …. Systems of PDEs and block preconditioning. Finite elements and object-oriented imple- mentation techniques in computational fluid dynamics. Lecture Notes in Computational Science and Engineering.

International Center for Scientific Research

In- ternational Journal of Applied Mechanics and Engineering, 7 1: This book will have strong appeal to interdisciplinary audiences, particularly in regard to its treatments of fluid mechanics, heat equations, partila continuum mechanics. A unified finite element model for the injection molding process. It emphasizes developing flexible computer programs using the …. Communications in Applied Numerical Methods, 4: A software framework for easy parallelization of PDE solvers.

Journal of Geophysical Research, A parallel multi-subdomain strat- egy for solving the boussinesq water wave equations. International Journal for Computational Engineering Science, Modern Equtaions Tools for Scientific Computing. Python Scripting for Computational Science.

A numerical comparison of conjugate gradient- like methods.

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For more than years partial di? On the performance of the Python programming language for serial and parallel scientific computations. Advances in Water Re- sources, Computational Partial Differential Equations.


Weber, editors, editors, pages An investigation of domain decomposition methods for llangtangen dispersive long wave equations. Transport in Porous Media, 9: Probabilistic Engineering Mechanics, 13 2: Differential loading by prograding sedimentary wedges on continental margin: Basic tools for linear algebra.

Conjugate gradient methods and ILU preconditioning of non-symmetric matrix systems with arbitrary sparsity patterns. Applied Mathematical Modelling, A gentle introduction to advanced topics such as parallel computing, multigrid methods, and special methods for systems of PDEs.

An improved probabilistic finite element method for stochastic groundwater flow. Partial Differential Equations for Computational Science. Advances in Water Resources, Advances in Water Resources, 27 11 This text teaches finite element methods and basic finite difference methods from a computational point of view.

Simulation of sedimentary basins. Papers in Books and Proceedings with Review H. Numerical methods for incompressible viscous flow. Einarsson, editor, Accuracy and Reliability in Scientific Computing.

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