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Filters: Author is Åsmund Ødegård [Clear All Filters]
Simula Graduate School of Computing - a Proposal From Simula Research Laboratory for an Educational Collaboration With UiO and UCSD. Simula Research Laboratory, 2010. Simula.simula.596.pdf (6.47 MB)
Using Cython to Speed Up Numerical Python Programs In Talk at MekIT'09: Fifth National Conference on Computational Mechanics, Trondheim, May 26-27., 2009.
Using Cython to Speed Up Numerical Python Programs In MekIT´09. Fifth national conference on Computational Mechanics, Edited by B. H. Skallerud and H. I. Andersson. NTNU, 2009. Simula.SC.578.pdf (141.28 KB)
Challenges With Distributing PyCC Environment In Talk at CBC Workshop on Biomedical Computing, Simula., 2007.
Using Python to Solve Partial Differential Equations." Computing in Science & Engineering 9 (2007): 48-51."
Applications of High Level Software for Parallel Solution of Partial Differential Equations. Department of Informatics, University of Oslo, 2006.
Configure and Build In Talk at FEniCS'06, Nov. 8-9, Delft, Netherlands., 2006. Odegard.2006.2.pdf (423.3 KB)
Detectability of Breast Lesions With the CARI Ultrasonography Using a Bioacoustic Computational Approach." Computers & Mathematics with Applications 54 (2006)."
Python in High Performance Computing In Tutorial presented at the Para06 Workshop., 2006. Alnes.2006.1.pdf (793.3 KB)
Using BSP and Python to Simplify Parallel Programming." Future Generation Computer Systems 22 (2006): 123-157."
FDM Solvers in Python - a Framework In Conference Talk, Siam CSE'05, Orlando, USA., 2005.
PySE - Python Stencil Environment In Conference Talk, FEniCS'05, Chicago., 2005. Odegard.2005.2.pdf (840.31 KB)
Scientific Computing in Python In Tutorial ASIM 2005., 2005.
FDM Solvers in Python - a Framework In Talk at the Europython 2004 Conference, Gothenburg, Sweden., 2004.
High Performance Computing in Python In Tutorial, SC2004., 2004.
Mathematics in Medicine: Mathematical and Numerical Modeling of a Clinical Technique for Breast Cancer Detection In Invited talk, International Conference on Mathematics and its Applications, Department of Mathematics and Computer Science., 2004.
Modified Fractional Derivative Model for the Attenuation in Human Soft Tissue: First Numerical Experiments. Simula Research Laboratory, 2004.
Quantification of the CARI Breast Imaging Sensitivity by 2D/3D Numerical Time-Domain Ultrasound Wave Propagation." Mathematics and Computers in Simulation 65 (2004): 521-534."
Sensitivity of the Ultrasonic CARI Technique for Breast Tumor Detection Using a FETD Scheme." Ultrasonics 42 (2004): 919-925."
FETD Simulation of Wave Propagation Modeling the CARI Breast Sonography In Proceedings of ICCSA2003, International Conference on Computational Science and its Applications. Lecture Notes in Computer Science. Montreal, Canada, 2003.
Focusing of Ultrasonic Waves: Description and FE Simulations for a Breast Imaging Technique. Simula Research Laboratory, 2003.
Fully Implicit Methods for Systems of PDEs In Advanced Topics in Computational Partial Differential Equations - Numerical Methods and Diffpack Programming, Edited by H. P. Langtangen and A. Tveito. Lecture Notes in Computational Science and Engineering. Springer-Verlag, 2003.
Mathematical and Numerical Modeling of Medical Ultrasound Wave Propagation In Invited talk to MACSI-Workshop for Numerical Simulations for Ultrasound Imaging and Inversion, St. Georgen, Austria, pages 8-13., 2003.
Sensitivity of the Ultrasonic CARI Technique for Breast Tumor Detection Using a FETD Scheme In Ultrasonics International. Granada, Spain, 2003.
Simulation of the Breast Imaging CARI Technique by a FETD Approximation of Ultrasound Wave Propagation In Proceedings of World Congress on Ultrasonics. Paris, France, 2003.