COMPUTATIONAL PARTIAL DIFFERENTIAL EQUATIONS LANGTANGEN PDF
Computational Partial Differential Equations: Numerical Methods and Diffpack . However, Langtangen is quick to point out that if you take the time to learn C++. Computational Partial Differential. Equations. Numerical Methods and Diffpack Programming. 2nd Edition. Hans Petter Langtangen. Computational Partial Differential Equations: Numerical Methods and Diffpack Hans Petter Langtangen, Otto Munthe, Solving systems of partial differential.
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Center for Industrial Research’s creativity award in information technology, Bruaset3rd prize, Norsk Eksportrad og Norsk Dataforenings kreativitetspris Award for research in information technology with A. 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” Lecture Notes in Computational Science and Engineering.
Texts in Computational Science and Engineering, vol 1. Springer, 2nd edition, Python Scripting for Computational Science. Texts in Com- compuational Science and Engineering, vol 3. Modern Software Tools for Scientific Computing. Advances in Soft- ware Tools for Scientific Computing. Lecture Notes in Computational Sci- ence and Engineering.
Lecture Computationak in Computational Science and Engineering, vol A numerical comparison of conjugate gradient- like methods. Communications in Applied Numerical Methods, 4: A method for smoothing derivatives of multilinear finite el- ement fields.
Communications in Applied Labgtangen Methods, 5: Divferential gradient methods and ILU preconditioning of non-symmetric matrix systems with arbitrary sparsity patterns. International Journal of Numerical Methods in Fluids, Implicit finite element methods for two-phase flow in oil reservoirs.
A general numerical solution method for fokker-planck equa- tions with applications to structural reliability.
International Center for Scientific Research
Probabilistic Engineering Me- chanics, 6 1: Sensitivity analysis of an enhanced oil recovery process. Applied Mathematical Modelling, Instability dlfferential Buckley-Leverett flow in a heterogeneous medium.
Transport in Porous Media, 9: Stochastic breakthrough time analysis of an enhanced oil re- covery process. Numerical solution of first passage problems in random vibrations. Object-oriented design of preconditioned iterative methods in Diffpack.
A study of some finite difference schemes for a uni-directional stochastic transport equation. A comparison of methods for the statistics of slow-drift oscillations. Probabilistic Engineering Mechanics, 13 2: Computational methods for weakly disper- sive and nonlinear water waves.
Computer Methods in Applied Mechanics and Engineering, A unified mesh refinement method with appli- cations to porous media flow. International Journal for Numerical Methods in Fluids, An improved probabilistic finite element method for stochastic groundwater flow.
Advances in Water Resources, A finite element method for fully nonlinear water waves.
Journal of Computational Physics, A unified finite element model for the injection molding process. A method for simulating sharp fluid interfaces in groundwater flow.
Finite elements and object-oriented imple- mentation techniques in computational fluid dynamics. Solving systems of partial differential equa- tions using object-oriented programming techniques with coupled heat and fluid flow as example. Propagation of large destructive waves. In- ternational Journal of Applied Mechanics and Engineering, 7 1: Numerical methods for incompressible viscous flow. Differential loading by prograding sedimentary wedges on continental margin: Journal of Geophysical Research, Using BSP and Python to simplify parallel programming.
Future Generation Computer Systems, A numerical method for comput- ing the profile of weld pool surfaces. International Journal for Computational Engineering Science, On the accuracy of operator splitting for a fluid-structure interaction problem. An investigation of domain decomposition methods for one-dimensional dispersive long wave equations. Advances in Water Resources, 27 11 A parallel multi-subdomain strat- egy for solving the boussinesq water wave equations.
Advances in Water Re- sources, On the performance of the Python programming language for serial and parallel scientific computations. A Python framework for verifying numerical solutions of partial differential equations. Transactions of Mathematical Software, A flexible software design for non-standard finite element methods.
Papers in Books and Proceedings with Review H. Finite elements for the Boussinesq wave equations. Weber, editors, editors, pages Kluwer Academic Publishers, The basic equations in eulerian continuum mechanics.
Finite element methods for two-phase flow in heterogeneous porous media. A math- ematical model for the melt spinning of polymer fibers.
Computational Partial Differential Equations – Langtangen, Hans Petter – | HPB
Basic tools for linear algebra. A comprehensive set of tools for solving partial differential equations; Diffpack. Increasing the efficiency and reliability of numerical software development.
Domain decomposition and multilevel methods in Diffpack. Parrtial, editors, Proceedings of the 9th Computwtional on Domain Decomposition, A software framework for easy parallelization of PDE solvers. Fox, editors, Parallel Computational Fluid Dynamics. How modern programming techniques can greatly simplify the development of parallel simulation codes in computational mechan- ics. A software framework for mixed finite element programming. Dongarra,and A.
Error estimates for the linear Navier-Stokes equations. Modeling propagation of noise over three- dimensional terrains. Software tools for multigrid methods.
Systems of PDEs and block preconditioning. Compurational implicit methods for vomputational tems of PDEs. Stochastic partial differential equations. Using Diffpack from Python scripts. Performance modeling of PDE solvers. Finite element modeling of elastic structures. Simulation of sedimentary basins.
General methods for implementing re- liable and correct software: Einarsson, editor, Accuracy and Reliability in Scientific Computing. International Center for Scientific Research. Research interests – methods for creating flexible scientific – software object-orientation, scripting- the generic programming environment Diffpack, numerical methods for flow problems e.
Prizes and awards Center for Industrial Research’s creativity award in information technology,