Export 31 results:
Filters: Author is Ola Skavhaug [Clear All Filters]
Simple T wave metrics may better predict early ischemia as compared to ST segment." IEEE Transactions on Biomedical Engineering 64, no. 99 (2016): 1305-1309."
Computing the Stability of Steady-State Solutions of Mathematical Models of the Electrical Activity in the Heart." Mathematical Biosciences and Engineering 41 (2011): 611-618."
Existence of Excitation Waves for a Collection of Cardiomyocytes Electrically Coupled to Fibroblasts." Mathematical Biosciences 230, no. 2 (2011): 79-86."
N-Version Benchmark Evaluation of Cardiac Tissue Electrophysiology Simulators." Philosophical Transactions of the Royal Society A 369 (2011): 4331-51."
Unstable Eigenmodes As Possible Drivers for Cardiac Arrhythmias." Journal of the Royal Society Interface 8 (2011): 1212-6."
Using Python for Scientific Computing In CBC Seminar on advanced use of Python programming language., 2010.
A Second Order Algorithm for Solving Dynamic Cell Membrane Equations." IEEE Transactions on Biomedical Engineering 56 (2009): 2546-2548."
Unified Framework for Finite Element Assembly." International Journal of Computational Science and Engineering 4 (2009): 231-244."
Penalty Methods for the Numerical Solution of American Multi-Asset Option Problems." Journal of Computational and Applied Mathematics 222 (2008): 3-16."
A Hybrid Approach to Efficient Finite Element Code Development." In Petascale Computing - Algorithms and Applications, edited by D. A. Bader. Computational Science. Chapman and Hall, 2007."
A Linear System of Partial Differential Equations Modeling the Resting Potential of a Heart With Regional Ischemia." Mathematical Biosciences 210 (2007): 238-252."
Software Components for Solving PDEs In Talk at Modelling and Computation of Biomedical Processess Workshop, Simula Oslo, 2007-06-12., 2007.
UFC Specification and User Manual 1.0. 1.0 ed., 2007.
Using Python to Solve Partial Differential Equations." Computing in Science & Engineering 9 (2007): 48-51."
Python in High Performance Computing In Tutorial presented at the Para06 Workshop., 2006.
Using BSP and Python to Simplify Parallel Programming." Future Generation Computer Systems 22 (2006): 123-157."
A Basic Introduction to Python In Invited talk at Uppsala University., 2005.
A Python Framework for Verifying Codes for Numerical Solutions of Partial Differential Equations. Simula Research Laboratory, 2005.
Scientific Computing in Python In Tutorial ASIM 2005., 2005.
Swiginac - Extending Python With Symbolic Mathematics In Invited talk at FEniCS05 in Chicago., 2005.
Visions of Python in Scientific Computing In Invited talk at Uppsala University., 2005.
High Performance Computing in Python In Tutorial, SC2004., 2004.
Numerical Methods and Software With Applications in Computational Finance. Department of Informatics, University of Oslo, 2004.
Python Wrapper Tools; a Performance Study In Talk at the EuroPython 2004 Conference, Gothenburg, Sweden., 2004.
Fully Automatic Method of Manufactured Solutions In Talk at the Advanced Environments and Tools for High Performance Computing, EuroConference on Problem Solving Environments and the Information Society., 2003.