Preprint:

  • L. Stals. Nonlinear Analysis of the Solutions of the Hasegawa-Wakatani Equations. Preprint: arXiv:1107.0112

Publications:

[1]
Andrew Cliffe, Ivan G. Graham, Robert Scheichl, and Linda Stals. Parallel computation of flow in heterogeneous media modelled by mixed finite elements. J. Computational Physics, 164:258-282, 2000.
[2]
J. Gani and L. Stals. A note on three stochastic processes with immigration. ANZIAM J., 48(3):409-418, 2007.
[3]
Joe Gani and Linda Stals. The spread of a viral infection in a plantation. Environmetrics, 15(6):555-560, 2004.
[4]
Joe Gani and Linda Stals. A continuous time markov chain model for a plantation-nursery system. Environmentrics, 16(8):849-861, 2005.
[5]
Joe Gani and Linda Stals. Epidemics caused by two encounters with infectives. Bulletin of the Institute of Combinatorics and its Applications, pages 5-18, 2006.
[6]
George Keller, Ulrich Rüde, Linda Stals, Stephan Mändl, and Bernd Rauschenbach. Simulation of trench homogeneity in plasma immersion ion implantation. J. Appl. Phys., 88(2):1111-1117, July 2000.
[7]
Michael Paulus, Linda Stals, Ulrich Rüde, and Bernd Rauschenbach. Two-dimensional simulation of plasma-based ion implantation. J. Appl. Phys., 85(2):761-766, January 1999.
[9]
S. Roberts and L. Stals. Discrete thin plate spline smoothing in 3D. In Jagoda Crawford and A. J. Roberts, editors, Proc. of 11th Computational Techniques and Applications Conference CTAC-2003, volume 45, pages C646-C659, July 2004.
[10]
S. G. Roberts, L. Stals, and O. M. Nielsen. Parallelisation of a finite volume method for hydrodynamic inundation modelling. In Wayne Read and A. J. Roberts, editors, Proceedings of the 13th Biennial Computational Techniques and Applications Conference, CTAC-2006, volume 48 of ANZIAM J., pages C558-C572, November 2007.
[11]
Stephen Roberts, Henry Gardner, Shaun Press, and Linda Stals. Teaching computational science using vpython and virtual reality. In Marian Bubak, G. Dick van Albada, Peter M. A. Sloot, and Jack Dongarra, editors, International Conference on Computational Science, volume 3039 of Lecture Notes in Computer Science, pages 1218-1225. Springer, 2004.
[12]
L. Stals. A study of the hasegawa-wakatani equations using an implicit explicit backward differentiation formula. In Geoffry N. Mercer and A. J. Roberts, editors, Proceedings of the 14th Biennial Computational Techniques and Applications Conference, CTAC-2008, volume 50 of ANZIAM J., pages C519-C533, December 2008.
[13]
L. Stals, R. Numata, and R. Ball. Stability analysis of time stepping for prolonged plasma fluid simulations. SIAM Journal on Scientific Computing, 31(2):961-986, 2008.
[14]
L. Stals and S. Roberts. Verifying convergence rates of discrete thin-plate splines in 3D. In Rob May and A. J. Roberts, editors, Proc. of 12th Computational Techniques and Applications Conference CTAC-2002, volume 46, pages C515-C529, June 2005.
[15]
Linda Stals. Parallel implementations of multigrid methods. In D. Stewart, H. Gardner, and D. Singleton, editors, Conference on Computational Techniques and Applications: CTAC93, pages 437-443. World Scientific, December 1993.
[16]
Linda Stals. Adaptive multigrid in parallel. In D. Bailey, P. Bjørstad, J. Gilbert, M. Mascagni, R. Schreiber, H. Simon, V. Torczon, and L. Watson, editors, Seventh SIAM Conference on Parallel Processing for Scientific Computing, pages 367-372. SIAM, 1995.
[17]
Linda Stals. Adaptive multigrid in parallel. In V. Narasimhan, editor, ICA3PP-95, The IEEE First International Conference on Algorithms and Architectures for Parallel Processing, pages 792-795. IEEE, 1995.
[18]
Linda Stals. Adaptive multigrid in parallel. In R. May and A. Easton, editors, Computational Techniques and Applications:CTAC95, pages 717-724. World Scientific, 1995.
[19]
Linda Stals. Parallel Multigrid on Unstructured Grids Using Adaptive Finite Element Methods. PhD thesis, Department Of Mathematics, Australian National University, Australia, 1995.
[20]
Linda Stals. Implementation of multigrid on parallel machines using adaptive finite element methods. In P. Bjørstad, M. Espedal, and D. Keyes, editors, 9th International Conference on Domain Decomposition, pages 488-496, 1998.
[21]
Linda Stals. Modeling of microfluidic devices using scalable algorithms. In Technical Proceedings of the Second International Conference on Modeling and Simulation of Microsystems, pages 536-539, 1999.
[22]
Linda Stals. A flexible data structure for the adaptive refinement of unstructured grids in parallel. In The Proceedings of The 14th Kiel GAMM Seminar on Concepts of Numerical Software, 2001.
[23]
Linda Stals. The parallel solution of radiation transport equations. In Tenth SIAM Conference on Parallel Processing for Scientific Computing, March 2001.
[24]
Linda Stals. The solution of radiation transport equations with adaptive finite elements. Technical Report NASA/CR-2001-211230, ICASE Report No. 2001-29, ICASE, Mail Stop 132C NASA Langley Research Center Hampton, VA 23681-2199, October 2001.
[25]
Linda Stals. Comparison of non-linear solvers for the solution of radiation transport equations. In J. Crawford and T. Roberts, editors, Proceedings of the Tenth Copper Mountain Conference on Multigrid Methods, ETNA, volume 15, pages 78-93, 2003.
[26]
Linda Stals and Alistair Rendell. Evaluation of the Fujitsu AP1000 parallel numerical computation library (ESPLIME): Final report. Technical report, Australian National University Supercomputer Facility, Australian National University, Canberra ACT 0200, Australia, April 1996.
[27]
Linda Stals and Stephen Roberts. Smoothing large data sets using discrete thin plate splines. Computing and Visualization in Science, 9:185-195, 2006.
[28]
Linda Stals and Stephen Roberts. Preconditioners for low order thin plate spline approximations. In T.J. Barth, M. Griebel, D.E. Keyes, R.M. Nieminen, D. Roose, and T Schlick, editors, Domain Decomposition Methods in Science and Engineering XVII, volume 60 of Lecture Notes in Computational Science and Engineering, pages 639-646, Berlin, Heidelberg, 2008. Springer.
[29]
Linda Stals and Ulrich Rüde. Techniques for improving the data locality of iterative methods. Technical Report MRR97-038, School of Mathematical Sciences, Australian National University, Canberra ACT 0200, Australia, September 1997.
[30]
Linda Stals, Ulrich Rüde, Michael Paulus, and Bernd Rauschenbach. Numerical modelling of the plasma source ion implantation process in 2D. In J. Noye, M. Teubner, and A. Gill, editors, Computational Techniques and Applications:CTAC97, pages 663-671. World Scientific, 1998.
[31]
Linda Stals, Ulrich Rüde, Christian Weiß, and Hermann Hellwagner. Data local iterative methods for the efficient solution of partial differential equations. In J. Noye, M. Teubner, and A. Gill, editors, Computational Techniques and Applications:CTAC97, pages 655-663. World Scientific, 1998.
[32]
A. Chris .F. Trevitt, Linda Stals, and Gerlese Sachse-Akerlind. Education and training in fire meteorology and climate: A role for computer-assisted learning. Presented at 12th Conference on Fire and Forest Meteorology, October 26-28, 1993, Jekyll Island, Georgia.
[33]
C. Weiß, H. Hellwagner, U. Rüde, and L. Stals. Data locality optimizations to improve the efficiency of multigrid methods. Technical Report 02-1, Lehrstuhl für Informatik 10 (Systemsimulation), University of Erlangen-Nuremberg, Germany, 2002. Presented at the 14th Gamm-Seminar on Concepts of Numerical Software in Kiel, Germany, Jan 23-25, 1998.




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