Jonathan P. Whiteley

Affiliations:
  • Department of Computer Science, University of Oxford, UK


According to our database1, Jonathan P. Whiteley authored at least 13 papers between 2000 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2017
Guide to Scientific Computing in C++, Second Edition
Undergraduate Topics in Computer Science, Springer, ISBN: 978-3-319-73131-5, 2017

2015
A Discontinuous Galerkin Finite Element Method for Multiphase Viscous Flow.
SIAM J. Sci. Comput., 2015

2013
Heat or mass transfer from a sphere in Stokes flow at low Péclet number.
Appl. Math. Lett., 2013

2012
Guide to Scientific Computing in C++.
Undergraduate Topics in Computer Science, Springer, ISBN: 978-1-4471-2736-9, 2012

Modelling the effect of gap junctions on tissue-level cardiac electrophysiology
Proceedings of the Proceedings First International Workshop on Hybrid Systems and Biology, 2012

2010
A Posteriori Error Analysis for the Use of Lookup Tables in Cardiac Electrophysiology Simulations.
SIAM J. Sci. Comput., 2010

2009
Solving the Coupled System Improves Computational Efficiency of the Bidomain Equations.
IEEE Trans. Biomed. Eng., 2009

Chaste: A test-driven approach to software development for biological modelling.
Comput. Phys. Commun., 2009

2008
Predicting Tumor Location by Modeling the Deformation of the Breast.
IEEE Trans. Biomed. Eng., 2008

2006
An Efficient Numerical Technique for the Solution of the Monodomain and Bidomain Equations.
IEEE Trans. Biomed. Eng., 2006

2005
Oxygen transport to muscle tissue where regions of low oxygen tension exist.
Math. Comput. Model., 2005

2004
Predicting Tumour Location by Simulating Large Deformations of the Breast Using a 3D Finite Element Model and Nonlinear Elasticity.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

2000
Discovering the Structure of Partial Differential Equations from Example Behaviour.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000


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