Householder
Symposium XVIII: Eric de Sturler, Tammy Kolda,
Daniel Szyld, and Howard Elman. Eric de Sturler
Professor, Department of
Mathematics, Virginia Tech
International Scientific Committee, 13^{th} International Symposium on Multiscale, Multifunctional and Functionally Graded Materials, October 19 – 22, 2014, Taua Resort, SP, Brazil Editor Applied Numerical Mathematics Editor International Journal on Computational Science and Engineering Editor Open Applied Mathematics Journal Affiliate faculty of the Materials Computation Center at the University of Illinois at Urbana-Champaign Selected Previous Boards,
Conferences Chaired, Organizing Committees, Affiliations
Co-Chair, Workshop Efficient Solution of Large Systems of Nonlinear PDEs in Science, Ecole Normale Superieure de Lyon (2013) General co-Chair 13^{th} IEEE International Conference on Computational Science and Engineering (2010) Member Scientific Committee SIAM Conference on Applied Linear Algebra 2012 Editor SIAM Journal on Numerical Analysis (2003-2009) Chair and organization Workshop on Building Bridges between Computational Mathematics and Electronic Structure (2008) Affiliate faculty of the Institute for Genomic Biology at the University of Illinois at Urbana-Champaign Program Director of the SIAM Activity Group on Supercomputing (2003-2006) Co-Chair of the Third SIAM Conference on Computational Science & Engineering (2005) IASTED International Conference on Parallel and Distributed Computing and Networks (PDCN), 2004, 2005, 2006,2007
(EdS, after Coleridge's The Rime of the Ancient Mariner)
Virginia Tech, view from across the New River
Recent publications (send email if not yet available online)1. Eric de Sturler, Serkan Gugercin, Misha E. Kilmer, Saifon Chaturantabut, Christopher Beattie, and Meghan O'Connell, Nonlinear Parametric Inversion using Interpolatory Model Reduction, submitted to SIAM Journal on Scientific Computing, http://arxiv.org/abs/1311.0922. 2. Alexandru Cioaca, Adrian Sandu, and Eric de Sturler, Efficient Methods for Computing Observation Impact in 4D-Var Data Assimilation, Computational Geosciences (accepted August 2013), 2013. DOI 10.1007/s10596-013-9370-2. 3. Alexandru Cioaca, Adrian Sandu, Eric de Sturler, and Emil Constantinescu, Efficient Computation of Observation Impact in 4D-Var Data Assimilation, IFIP Advances in Information and Communication Technology 377:250 – 264, 2012. DOI: 10.1007/978-3-642-32677-6_16. 4. Kapil Ahuja, Eric de Sturler, Serkan Gugercin, and Eun R. Chang, Recycling BiCG with an Application to Model Reduction © 2012 SIAM, SIAM Journal on Scientific Computing 34(4):1925 – 1949, 2012. 5. Eric de Sturler and Misha Kilmer, A Regularized Gauss-Newton Trust Region Approach to Imaging in Diffuse Optical Tomography © 2011 SIAM, SIAM Journal on Scientific Computing 33(5):3057 – 3086, 2011. 6. Kapil Ahuja, Bryan Clark, Eric de Sturler, David Ceperley, and Jeongnim Kim, Improved Scaling for Quantum Monte Carlo on Insulators © 2011 SIAM, SIAM Journal on Scientific Computing 33:1837 – 1859, 2011. 7. Luis A. Motta Mello, Eric de Sturler, Glaucio H. Paulino, and Emilio C. Nelli Silva, Recycling Krylov subspaces for efficient large-scale electrical impedance tomography, Computer Methods in Applied Mechanics and Engineering 199:3101 – 3110, 2010, doi: 10.1016/j.cma.2010.06.001. 8. Glaucio H. Paulino, Eric de Sturler, Shun Wang, and Chau Le, Continuum Topology Optimization with Preconditioned Krylov Subspace Recycling, Journal for Structural and Multidisciplinary Optimization, being revised, 9. Shun Wang, Eric de Sturler, and Glaucio H. Paulino, Dynamic Adaptive Mesh Refinement for Topology Optimization, International Journal for Numerical Methods in Engineering, being revised, available at http://arxiv.org/abs/1009.4975. 10. Xin-Guang Zhu, Eric de Sturler, Rafael Alba, and Stephen P. Long, A Simple Model of the Calvin Cycle Has Only One Physiologically Feasible Steady State under the Same External Conditions, Nonlinear Analysis Series B: Real World Applications 10, pp. 1490 - 1499, 2009, DOI: http://dx.doi.org/10.1016/j.nonrwa.2008.01.021, 11. Wei Pan, John Fettig, Eric de Sturler, and Xin-Guang Zhu, Impacts of Different Metabolite Measurement Protocols on Estimating Parameters in Complex Photosynthetic Carbon Metabolism Models, Proceedings of the Fourth International Conference on Computational Systems Biology (ISB2010) Suzhou, China, September 9–11, 2010, pp.373–380. 12. Shun Wang and Eric de Sturler, Multilevel Sparse Approximate Inverse Preconditioners for Adaptive Mesh Refinement, Linear Algebra and its Applications, 2009, DOI: http://dx.doi.org/10.1016/j.laa.2009.02.021, Projects
and Centers
(brief descriptions will come soon)
Selected Past Projects(brief descriptions will come soon)
Postdocs
& Students,
Teaching and Short Courses
Regular Classes
University of Illinois at
Urbana-Champaign
Virginia Tech
Short Courses
Publications
Full List of Publications (needs updating)
Selected Journal and Proceedings/Book
Publications (send email if not available online)
1. Eric de Sturler, Serkan Gugercin, Misha E. Kilmer, Saifon Chaturantabut, Christopher Beattie, and Meghan O'Connell, Nonlinear Parametric Inversion using Interpolatory Model Reduction, submitted to SIAM Journal on Scientific Computing, http://arxiv.org/abs/1311.0922. 2. Alexandru Cioaca, Adrian Sandu, and Eric de Sturler, Efficient Methods for Computing Observation Impact in 4D-Var Data Assimilation, Computational Geosciences (accepted August 2013), 2013. DOI 10.1007/s10596-013-9370-2. 3. Alexandru Cioaca, Adrian Sandu, Eric de Sturler, and Emil Constantinescu, Efficient Computation of Observation Impact in 4D-Var Data Assimilation, IFIP Advances in Information and Communication Technology 377:250 – 264, 2012. DOI: 10.1007/978-3-642-32677-6_16. 4. Kapil Ahuja, Eric de Sturler, Serkan Gugercin, and Eun R. Chang, Recycling BiCG with an Application to Model Reduction © 2012 SIAM, SIAM Journal on Scientific Computing 34(4):1925 – 1949, 2012. DOI: 10.1137/100801500. 5. Eric de Sturler and Misha Kilmer, A Regularized Gauss-Newton Trust Region Approach to Imaging in Diffuse Optical Tomography © 2011 SIAM, SIAM Journal on Scientific Computing 33(5):3057 – 3086, 2011. 6. Kapil Ahuja, Bryan Clark, Eric de Sturler, David Ceperley, and Jeongnim Kim, Improved Scaling for Quantum Monte Carlo on Insulators © 2011 SIAM, SIAM Journal on Scientific Computing 33:1837 – 1859, 2011. 7. Luis A. Motta Mello, Eric de Sturler, Glaucio H. Paulino, and Emilio C. Nelli Silva, Recycling Krylov subspaces for efficient large-scale electrical impedance tomography, Computer Methods in Applied Mechanics and Engineering 199:3101 – 3110, 2010, doi: 10.1016/j.cma.2010.06.001. 8. Glaucio H. Paulino, Eric de Sturler, Shun Wang, and Chau Le, Continuum Topology Optimization with Preconditioned Krylov Subspace Recycling, Journal for Structural and Multidisciplinary Optimization, being revised. 9. Eric de Sturler, Glaucio H. Paulino, and Shun Wang, Multilevel Preconditioners for Simulations and Optimization on Dynamic Adaptive Meshes, Proceedings IV European Congress on Computational Mechanics, Palais des Congres, Paris, France, May 16-21, 2010 (electronic). 10. Shun Wang, Eric de Sturler, and Glaucio H. Paulino, Dynamic Adaptive Mesh Refinement for Topology Optimization, International Journal for Numerical Methods in Engineering, being revised, available at http://arxiv.org/abs/1009.4975. 11. Xin-Guang Zhu, Eric de Sturler, Rafael Alba, and Stephen P. Long, A Simple Model of the Calvin Cycle Has Only One Physiologically Feasible Steady State under the Same External Conditions, Nonlinear Analysis Series B: Real World Applications 10, pp. 1490 - 1499, 2009, DOI: http://dx.doi.org/10.1016/j.nonrwa.2008.01.021. 12. Wei Pan, John Fettig, Eric de Sturler, and Xin-Guang Zhu, Impacts of Different Metabolite Measurement Protocols on Estimating Parameters in Complex Photosynthetic Carbon Metabolism Models, Proceedings of the Fourth International Conference on Computational Systems Biology (ISB2010) Suzhou, China, September 9–11, 2010, pp.373–380. 13. Shun Wang and Eric de Sturler, Multilevel Sparse Approximate Inverse Preconditioners for Adaptive Mesh Refinement, Linear Algebra and its Applications, 2009, DOI: http://dx.doi.org/10.1016/j.laa.2009.02.021. 14. Kapil Ahuja, Eric de Sturler, Eun R. Chang, and S. Gugercin, Recycling BiCG, submitted to SIAM Journal on Scientific Computing. 15. Xin-Guang Zhu, Eric de Sturler, Rafael Alba, and Stephen P. Long, A Simple Model of the Calvin Cycle Has Only One Physiologically Feasible Steady State under the Same External Conditions, Nonlinear Analysis Series B: Real World Applications 10, pp. 1490 - 1499, 2009, DOI: http://dx.doi.org/10.1016/j.nonrwa.2008.01.021. 16. Shun Wang and Eric de Sturler, Multilevel Sparse Approximate Inverse Preconditioners for Adaptive Mesh Refinement, Linear Algebra and its Applications, 2009, DOI: http://dx.doi.org/10.1016/j.laa.2009.02.021. 17. Eric de Sturler, Glaucio H. Paulino, and Shun Wang, Topology Optimization with Adaptive Mesh Refinement, Proceedings of the 6th International Conference on Computation of Shell and Spatial Structures IASS-IACM 2008: "Spanning Nano to Mega", May 28-31, 2008, Cornell University, Ithaca, NY, John F. Abels and J. Robert Cooke (eds), 18. Luis A.M. Mello, Emilio C.N. Silva, Eric de Sturler, and Glaucio H. Paulino, Topology Optimization Method Utilizing Iterative Solvers with Subspace Recycling Applied to High Resolution Electrical Impedance Tomography, Proceedings of the 6th International Conference on Computation of Shell and Spatial Structures IASS-IACM 2008: "Spanning Nano to Mega", May 28-31, 2008, Cornell University, Ithaca, NY, John F. Abels and J. Robert Cooke (eds), 19. Eric de Sturler, Chau Le, Shun Wang, and Glaucio Paulino, Large Scale Topology Optimization Using Preconditioned Krylov Subspace Recycling and Continuous Approximation of Material Distribution, Multiscale and Functionally Graded Materials 2006 (M&FGM 2006), Oahu Island (Hawaii), 15–18 October 2006, AIP Conference Proceedings Volume 973, pp. 279 - 284, 2008, ISBN: 978-0-7354-0492-2, Editor(s): G. H. Paulino, M.-J. Pindera, R. H. Dodds, Jr., F. A. Rochinha, E. Dave, and L. Chen, 20. Xin-Guang Zhu, Eric de Sturler, Stephen Long, Optimizing the distribution of resources between enzymes of carbon metabolism can dramatically increase photosynthetic rate. A numerical simulation using an evolutionary algorithm, Plant Physiology, October 2007, Vol. 145, pp. 513—526, 2007; DOI:10.1104/pp.107.103713, www.plantphysiol.org (open access article) 21. Shun Wang, Eric de Sturler, and Glaucio H. Paulino, Large-Scale Topology Optimization using Preconditioned Krylov Subspace Methods with Recycling, International Journal for Numerical Methods in Engineering, Vol. 69, Issue 12, pp. 2441—2468, 2007, DOI: 10.1002/nme.1798, o Original version available as Technical Report UIUCDCS-R-2006-2678 and UILU-ENG-2006-1705. 22. Mike Parks, Eric de Sturler, Greg Mackey, Duane D. Johnson, and Spandan Maiti, Recycling Krylov Subspaces for Sequences of Linear Systems ©2006 SIAM, SIAM Journal on Scientific Computing, Vol. 28, No. 5, pp. 1651-1674, 2006, o original version available as tech. report UIUCDCS-R-2004-242, March 2004, 23. Chris Siefert and Eric de Sturler, Probing Methods for Saddle-Point Problems, Electronic Transactions in Numerical Analysis (ETNA), Volume 22, pp. 163-183, 2006, in Special Volume on "Saddle Point Problems: Numerical Solution and Applications", o original version available as Tech. Report UIUCDCS-R-2005-2540 and UILU-ENG-2005-1744, March 2005, 24. Chris Siefert and Eric de Sturler, Preconditioners for Generalized Saddle-Point Problems ©2006 SIAM, SIAM Journal on Numerical Analysis, 44(3), pp. 1275-1296, 2006, original version available as Technical Report UIUCDCS-R-2004-2448 and UILU-ENG-2004-1750, June 2004. 25. Saddle Point Problems: Numerical Solution and Applications, Special Volume of Electronic Transactions on Numerical Analysis (ETNA), Volume 22, 2006, Michele Benzi, Richard B. Lehoucq, and Eric de Sturler (editors), 26. Misha Kilmer and Eric de Sturler, Recycling Subspace Information for Diffuse Optical Tomography ©2006 SIAM, SIAM Journal on Scientific Computing 27(6), pp. 2140-2166, 2006, original version available as Technical Report UIUCDCS-R-2004-2447, June 2004, 27. Chris Siefert and Eric de Sturler, Preconditioners for Generalized Saddle-Point Problems, accepted for publication in SIAM Journal on Numerical Analysis, December 2005, o original version available as Technical Report UIUCDCS-R-2004-2448, June 2004, 28. Xin-Guang Zhu, Govindjee, Neil Baker, Eric de Sturler, Donald R. Ort, Stephen P. Long, Chlorophyll a fluorescence induction kinetics in leaves predicted from a model describing each discrete step of excitation energy and electron transfer associated with Photosystem II, Planta 223(1), pages 114-133, 2005; the original publication is available at www.springerlink.com as pdf or html, 29. Eric de Sturler and Jörg Liesen, Block-diagonal and Constraint Preconditioners for Nonsymmetric Indefinite Linear Systems. Part I: Theory ©2005 SIAM, SIAM Journal on Scientific Computing 26(5), pp. 1598-1619, 2005, 30. Eric de Sturler, Improving the Convergence of the Jacobi-Davidson Algorithm, Technical Report UIUCDCS-R-2000-2173, 2000, 31. A. Sheffer and E. de Sturler, Smoothing an Overlay Grid to Minimize Linear Distortion in Texture Mapping ©2002 ACM, ACM Transaction on Graphics 21(4), pp. 874-890, 2002 (final draft with color graphics). 32. A. Sheffer and E. de Sturler, Parameterization of Faceted Surfaces for Meshing Using Angle Based Flattening (final draft), Engineering with Computers 17(3) (2001), pp. 326-337. (available from Springer) Special issue containing 10 selected (and updated) papers from the 9th International Meshing Round Table Conference 2000. 33. J. Liesen, E. de Sturler, A. Sheffer, Y. Aydin, C. Siefert, Preconditioners for Indefinite Linear Systems Arising in Surface Parameterization, Proceedings of the 10th International Meshing Round Table, Newport Beach, CA, October 7-10, 2001, Sandia National Laboratories, (also available from http://www.andrew.cmu.edu/user/sowen/imr10.html), 34. E. de Sturler, J. Hoeflinger, L. Kale, and M. Bhandarkar, A New Approach to Software Integration Frameworks for Multi-Physics Simulation codes, in The Architecture of Scientific Software, R.F. Boisvert, P.T.P. Tang, eds., Kluwer Academic Publishers, Boston, 2001, ISBN 0-7923-7339-1. 35. M. Bhandarkar, L.V. Kale, E. de Sturler, J. Hoeflinger, Adaptive Load Balancing for MPI Programs, Lecture Notes in Computer Science 2074, V.N. Alexandrov e.a. (Eds.): Proceedings of the International Conference in Computational Science, May 28-30, 2001, San Francisco, CA, pp. 108-117, Springer-Verlag, 2001. 36. A. Sheffer and E. de Sturler, Surface Parameterization for Meshing by Triangulation Flattening, Proceedings of the 9th International Meshing Round Table Conference 2000, New Orleans, October 2-5, 2000, pp. 161-172, Sandia National Laboratories, (also available from http://www.andrew.cmu.edu/user/sowen/imr9.html). 37. A. Sheffer and E. de Sturler, Parameterization of CAD surfaces for Meshing by Triangulation Flattening, Proceedings of the 7th International Conference on Numerical Grid Generation in Computational Field Simulations, pp. 699-708, September 25-28, 2000 in Whistler, British Columbia, Canada. 38. E. de Sturler, Truncation Strategies for Optimal Krylov Subspace Methods, ©1999 SIAM, SIAM Journal on Numerical Analysis Vol. 36 (1999), pp. 864-889. Awarded the second prize at the Leslie Fox Prize Meeting 1997. 39. E. de Sturler. Variations on the Jacobi-Davidson Theme. In David Kincaid and Anne Elster, editors: Iterative Methods in Scientific Computation IV: Proceedings of the Fourth IMACS International Symposium on Iterative Methods in Scientific Computation, honoring the 75th birthday of David M. Young, Austin, Texas, October 18-20, 1998, IMACS series in Computational and Applied Mathematics, Volume 5, IMACS 1999, pp. 313-323. 40. E. de Sturler. BiCG Explained. Householder Symposum XIV: Proceedings of the Householder International Symposium in Numerical Algebra, Chateau Whistler, Whistler, BC, Canada, June 13-19, 1999. 41. E. de Sturler and D. Loher, Parallel Iterative Solvers for Irregular Sparse Matrices in High Performance Fortran, Journal of Future Generation Computer Systems Vol. 13 (1998), pp. 315-325. Special issue containing updated versions of the 15 best papers selected out of 130 papers accepted for HPCN’97. 42. E. de Sturler and V. Strumpen, Scientific Programming with High Performance Fortran: A Case Study Using the xHPF Compiler, Scientific Programming Vol. 6 (1997), pp. 127-152. Special issue: High Performance Fortran Comes of Age. 43. E. de Sturler and D. Loher. Implementing Iterative Solvers for Irregular Sparse Matrix Problems in High Performance Fortran. In C.D. Polychronopoulos, K. Joe, K. Araki, M. Amamiya, editors: High Performance Computing, International Symposium, ISHPC'97, Fukuoka, Japan, November 4 - 6, 1997, Lecture Notes in Computer Science 1336, Springer-Verlag, Berlin, Heidelberg, Germany, 1997. 44. E. de Sturler, Nested Krylov Methods based on GCR, Journal of Computational and Applied Mathematics Vol. 67 (1996), pp. 15-41. 45. E. de Sturler, A Performance Model for Krylov Subspace Methods on Mesh-based Parallel Computers, Parallel Computing Vol. 22 (1996), pp. 57-74. 46. E. de Sturler. Inner-outer Methods with Deflation for Linear Systems with Multiple Right-Hand Sides. In Householder Symposium XIII, Proceedings of the Householder Symposium on Numerical Algebra, pp. 193-196. June 17 - 26, 1996, Pontresina, Switzerland. 47. E. de Sturler and H. A. van der Vorst, Reducing the Effect of Global Communication in GMRES(m) and CG on Parallel Distributed Memory Computers, Applied Numerical Mathematics (IMACS), Vol. 18 (1995), pp. 441-459. 48. F. Nataf, F. Rogier, and E. de Sturler. Domain Decomposition Methods for Fluid Dynamics. In A. Sequeira, editor: Navier-Stokes Equations and Related Nonlinear Problems, pp. 367-376, New York, 1995. Plenum Press. 49. E. de Sturler, Incomplete Block LU Preconditioners on Slightly Overlapping Subdomains for a Massively Parallel Computer, Applied Numerical Mathematics (IMACS), Vol. 19 (1995), pp. 129-146. 50. Eric de Sturler. IBLU Preconditioners for Massively Parallel Computers. In D. E. Keyes & J. Xu, editors: Domain Decomposition Methods in Science and Engineering, Proceedings of the Seventh International Conference on Domain Decomposition, October 27-30, 1993, The Pennsylvania State University, pp. 395-400, American Mathematical Society, Providence, USA, 1994. 51. C. Clémençon, K. M. Decker, A. Endo, J. Fritscher, G. Jost, T. Maruyama, N. Masuda, A. Müller, R. Rühl, W. Sawyer, E. de Sturler, B. J. N. Wylie, and F. Zimmermann, Architecture and Programmability of the NEC Cenju-3, SPEEDUP, Vol. 8(2) (1994), pp. 15-22. 52. E. de Sturler. Iterative Methods on Distributed Memory Computers, Ph.D. thesis, Delft University of Technology, Delft, The Netherlands, October 1994 (ISBN 90-9007579-8). 53. E. de Sturler and H. A. van der Vorst. Communication Cost Reduction for Krylov Methods on Parallel Computers. In W. Gentzsch and U. Harms, editors: High-Performance Computing and Networking, Lecture Notes in Computer Science 797, pages 190-195, Springer-Verlag, Berlin, Heidelberg, Germany, 1994. 54. E. de Sturler and D. R. Fokkema. Nested Krylov Methods and Preserving the Orthogonality. In N. Duane Melson, T. A. Manteuffel, and S. F. McCormick, editors, Sixth Copper Mountain Conference on Multigrid Methods, NASA Conference Publication 3224, Part 1, pages 111-125, NASA Langley Research Center, Hampton, VA, USA, 1993. 55. E. de Sturler. A Parallel Variant of GMRES(m). In J.J.H. Miller and R.Vichnevetsky, editors, Proceedings of the 13th IMACS World Congress on Computation and Applied Mathematics, pp. 682-683, Dublin, Ireland, 1991. Criterion Press. 56. G. H. Schmidt and E. de Sturler. Multigrid for porous medium flow on locally refined three dimensional grids. In W. Hackbusch and U. Trottenberg, editors, Multigrid Methods: Special Topics and Applications II, proceedings of the 3rd European Conference on Multigrid Methods, Bonn, Germany, October 1-4, 1990, GMD-Studien Nr. 189, pages 309-318, Gesellschaft für Mathematik und Datenverarbeitung, Sankt Augustin, Germany, 1991. Invitations and Invited/Plenary Presentations
Full List of Invitations and Invited/Plenary Presentations (old – needs updating) Selected Invitations and Invited
Presentations (at some point these will available online)
1. Forward Looking Panel (with Tammy Kolda and Shiv Chandrasekharan), Householder Symposium XVIII , June 12 – 17, 2011, Granlibakken Conference Center, Tahoe City, California, USA. 2. Convergence Bounds for Approximate Invariant Subspace Recycling for Sequences of Linear Systems, Householder Symposium XVIII, June 12 – 17, 2011, Granlibakken Conference Center, Tahoe City, California, USA. 3. A Sequence of Multilevel Preconditioners for Astrophysics Simulations on Dynamic, Adaptive Meshes, Centre de Recherche Astrophysique de Lyon, Ecole Normale Superieure de Lyon, Lyon, France, April 10 – 13, 2011. 4. Sequences of Linear Systems and Acoustics Applications, Department of Mathematics, University of North Carolina at Chapel Hill, April 8, 2011. 5. Efficiently Generating a Million Preconditioners for Quantum Monte Carlo Simulations, Applied Mathematics and Scientific Computing Seminar, College of Science and Technology, Temple University, Philadelphia, Pennsylvania, February 7, 2011. 6. Krylov Subspace Recycling with an Application to Acoustics, First North American Meeting on Industrial and Applied Mathematics, December 8 - 10, 2010, Universidad del Mar, Huatulco, Oaxaca México. 7. Adaptive Multilevel Preconditioners for Simulations on Dynamic Meshes, International Workshop on Frontiers in Computational Astrophysics: Particles and Flames in Magnetic and Radiative Flows, ENS Lyon, Lyon, France, October 11 – 15, 2010, sponsored by CECAM (Centre Europeen de Calcul Atomique et Moleculaire). 8. Fast Solvers for Sequences of Linear Systems Arising in Acoustics, Temple University Mathematics Colloquium, Department of Mathematics, Temple University, Philadelphia, Pennsylvania, February 7, 2011. 9. Solving Long Sequences of Linear Systems, Department of Computer Science, KU Leuven, Leuven, Belgium, November 29 – December 1, 2010. 10. Sequences of Problems, Matrices, and Linear Systems, School of Computational Science and Engineering, Georgia Tech, Atlanta, Georgia, November 12, 2010. 11. The Convergence Behaviour of Biconjugate Gradients, Computational Mathematics and Applications Seminar, University of Oxford, UK, November 4, 2010. 12. Analyzing the Convergence of Recycling Krylov Methods using the CS Decomposition, Conference on Numerical Linear Algebra: Perturbation, Performance, and Portability, A Conference in Celebration of G.W. (Pete) Stewart’s 70th Birthday, July 19-20, 2010, Austin, Texas. 13. Ecole Centrale Paris, May 21, 2010 a. Overview of Krylov Subspace Methods and Theory, b. Solving Sequences of Linear Systems. 14. Subspace Recycling for Sequences of Linear Systems, in Seminar on High Performance Numerical Computing, Commissariat a l’Energie Atomique, Saclay, France, May 18, 2010. 15. Subspace Recycling for Sequences of Linear Systems, OPTEC Seminar, KU Leuven Optimization in Engineering Center, Leuven, Belgium, May 5, 2010. 16. Multilevel Preconditioners for Simulations and Optimization on Dynamic, Adaptive Meshes, Department of Computer Science, University of British Columbia, Vancouver, Canada, February 1 – 4, 2010. 17. Roadkill, Optimal Design, and Sequences of Linear Systems, Center for the Simulation of Advanced Rockets Symposium, University of Illinois at Urbana-Champaign, October 13-14, 2009. 18. Methods for the Efficient Solution of Sequences of Linear Systems, GAMM Applied Linear Algebra and Lectures in Numerical Linear Algebra in Computational Science and Engineering (conference dedicated in honor of Martin Gutknecht), ETH Zurich, Switzerland, September 10-12, 2009. 19. Simulating Photosynthesis, Optimization, Evolution, and Challenges for Mathematics, Modelling, Analysis, and Simulation Seminar, Centrum voor Wiskunde en Informatica (Dutch Center for Mathematics and Computer Science), Amsterdam, the Netherlands, April 21, 2009. 20. Fast Solvers for Topology Optimization Problems, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, February 27, 2008. 21. Fast Iterative Solvers for Sequences of Linear Systems, Institute for Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic, October 19-26, 2008. 22. A Regularized Trust Region Model for Ill-Conditioned Nonlinear Problems, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic, October 19-26, 2008. 23. Krylov Recycling for Quasi-Newton methods, 5th European Conference on Computational Methods in Applied Sciences and Engineering/8th World Congress on Computational Mechanics (ECCOMAS 2008/WCCM8), Venice, Italy, June 30 – July 4, 2008. 24. Topology Optimization with Adaptive Mesh Refinement, Keynote Lecture, 6th International Conference on Computation of Shell and Spatial Structures IASS-IACM 2008: "Spanning Nano to Mega", May 28-31, 2008, Cornell University, Ithaca, NY, 25. An Overview of Efficient Solution Methods for Sequences of Linear Systems, in Minisymposium, 6th International Congress on Industrial and Applied Mathematics (ICIAM 2007), Zurich, Switzerland, July 16-20, 2007, 26. Solving Long Sequences of Linear Systems, Department of Mathematics, TU Berlin (Berlin, Germany), May 22, 2007, 27. Schlumberger-Doll Research & Tufts University, February 18 – 21, Schlumberger-Tufts Computational and Applied Math Seminar, April 19, 2007, A Trust Region Method with Regularized Gauss-Newton Step for Ill-conditioned Nonlinear Problems, 28. Research Directions and Enabling Technologies for the Future of CS&E, Panel member, SIAM Conference on Computational Science and Engineering, Costa Mesa, California, February 19-23, 2007, 29. Large Scale Topology Optimization Using Preconditioned Krylov Subspace Recycling and Continuous Approximation of Material Distribution, Keynote Lecture, Multiscale and Functionally Graded Materials Conference 2006 (FGM 2006), Ko Olina, O’ahu, Hawaii, October 15-18, 2006, 30. Wright-Patterson Air Force Base, August 14-15, 2006, Topology Optimization Applied to Advanced Structural Systems, 31. Schlumberger Doll Research, Cambridge, August 8, 2006, Fast Solvers for Long Sequences of Linear Systems, 32. Parallel Multilevel Preconditioners for Simulations on Adaptively Refined Meshes, SIAM Conference on Parallel Processing for Scientific Computing, San Francisco, California, February 22-24, 2006. 33. Department of Computer Science, College of William and Mary, October 28, 2005, Fast Solvers for Long Sequences of Linear Systems and their Analysis, 34. Computer Science Research Institute, summer faculty, Sandia National Laboratories, Albuquerque, June - August, 2005, 35. Recycling Krylov Subspaces for Sequences of Linear Systems: Convergence Analysis, Householder XVI Symposium on Numerical Linear Algebra, Seven Springs Mountain Resort, Champion, PA, May 23-27, 2005. 36. Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, May 9-11, 2005, Fast Solvers for Long Sequences of Linear Systems, 37. Parallel Multilevel Preconditioners for Simulations on Adaptively Refined Meshes, 5^{th} Symposium of the Los Alamos Computer Science Institute (LACSI), AMR Workshop, Santa Fe, New Mexico, October 12-14, 2004, 38. Optimization Technology Center and Northwestern University & Access Grid, Evanston, Illinois, October 6, 2004, Probing for Schur Complements and Preconditioning Generalized Saddle-Point Problems, 39. Department of Mathematics and Computer Science, Emory University, Atlanta, Georgia, March 17-19, 2004, Iterative Solution of a Sequence of Linear Systems, 40. SCCM Program, Stanford University, February 27, 2004, Iterative Solution of a Sequence of Linear Systems, 41. Department of Computer Science, University of Maryland at College Park, December 9-11, 2004, Preconditioners for Generalized Saddle-Point Problems, 42. Preconditioners for Generalized Saddle-Point Problems, Solution Methods for Saddle-Point Systems in Computational Mechanics, workshop organized by Sandia National Labs and the SCCM Program Stanford, Santa Fe, New Mexico, December 3-6, 2003, 43. Updating, Truncating, and Reusing Krylov Spaces, Dagstuhl Seminar on Theoretical and Computational Aspects of Matrix Algorithms, Schloss Dagstuhl, Wadern, Germany, October 11-18, 2003, 44. Department of Mathematics, Tufts University, September 17-21, 2003, Iterative Solution of a Sequence of Linear Systems, 45. Krylov Methods for Lattice QCD, Third International Workshop on Numerical Analysis and Lattice QCD, University of Edinburgh & UK National e-Science Centre, e-Science, Institute, Edinburgh, Scotland, June 30 – July 4, 2003, 46. Inner-outer Iteration for a Sequence of Linear Systems, Sparse Matrices and Grid Computing, St Girons Deux, June 10-13, 2003, St. Girons, France, 47. Preconditioning Saddle Point Problems using Cheap Approximations to the Schur Complement, ETNA: Following the Flows of Numerical Analysis, Kent, OH, May 29-31, 2003, 48. Ecole Polytechnique de Montreal, Dept. of Computer Science, Montreal, Canada, November 19-23, 2002, Algorithmic and Accuracy Issues in Surface Parameterization, 49. Centre de Recherche en Calcul Applique (CERCA), Montreal November 19-23, 2002, Fast Solution of Symmetric and Nonsymmetric Indefinite Problems, 50. Fast Solution Methods and Preconditioners for Symmetric and Nonsymmetric Indefinite Systems, Plenary presentation at the 15^{th} Householder Symposium in Numerical Linear Algebra (June 2002), 51. University of Leiden (Netherlands), Department of Mathematics, January 7, 2002, Fast Solution Methods and Preconditioners for Symmetric and Nonsymmetric Indefinite Systems, 52. University of Utrecht (Netherlands), Department of Mathematics, December 14, 2001 - January 12, 2002, Fast Solution Methods and Preconditioners for Symmetric and Nonsymmetric Indefinite Systems, 53. Analysis of Newton and Newton-Krylov Methods for Nonlinear Problems with Ill-conditioned Jacobians, Workshop on Solution Methods for Large-Scale Nonlinear Problems, Lawrence Livermore National Laboratory, CASC/Institute for Terascale Simulation, Livermore, CA, July 26-28, 2000, 54. Lawrence Livermore National Laboratory/CASC, Livermore, CA, March 12-19, 2000, Programming Environments for Multi-Application Simulation, 55. Ecole Polytechniqe / Centre de Mathematiques Appliquées, Paris (Palaiseau), France, 3-5 January, 2000, Three-dimensional, Integrated, Simulation of Solid Propellant Rockets (overview), 56. Universite Paris VI Pierre et Marie Curie / Laboratoire d’Analyse Numerique, Paris, France, January 3, 2000, Three-dimensional, Integrated, Simulation of Solid Propellant Rockets - coupling applications on separate grids, 57. Argonne National Laboratory / Mathematics and Computer Science Division, Chicago, Illinois, USA, December 9, 1999, A Programming Environment for Multi-Application Simulations, 58. Swiss Federal Institute of Technology (ETH Zurich) / Department of Civil and Environmental Engineering (VAW), Zurich, Switzerland, July 15-August 1, 1999, Fellow of the European Research Consortium on Flow, Turbulence, and Combustion (ERCOFTAC), Integrated, Three-dimensional, Simulation of Solid Propellant Rockets, 59. BiCG Explained, Householder Symposium XIV, Chateau Whistler, Whistler, BC, Canada, June 13-19, 1999, 60. The Convergence of BiCG, A Mathematical Journey through Analysis, Matrix Theory, and Scientific Computing: A Conference in Honor Richard Varga's 70th Birthday, Kent State University, Kent, OH, USA, March 25-27, 1999, 61. Los Alamos National Laboratory, Los Alamos, NM, USA, March 17-18, 1999, The Convergence of BiCG, 62. Sandia National Laboratories, Albuquerque, NM, USA, March 15-16,19, 1999, a. Truncation of Optimal Krylov Subspace Methods, b. The Convergence of BiCG, 63. Technische Universität Bergakademie Freiberg / Institut für Angewandte Mathematik II, Freiberg, Germany, 11-15 November, 1998, The Convergence of BiCG, 64. Variations on the Jacobi-Davidson Theme, plenary lecture, Fourth IMACS International Symposium on Iterative Methods in Scientific Computation, honoring the 75th birthday of David M. Young, Austin, Texas, USA, October 18-20, 1998, 65. Panel member in the Forum Discussion at the High Performance Fortran User Group Conference 1998 (HUG’98), Porto, Portugal, 25-26 June, 1998, The Future of High Performance Fortran..., 66. Katholieke Universiteit Leuven (KUL), Leuven, Belgium, 22-24 April, 1998, Implementation Aspects and Parallelism in Krylov Methods. (in KUL-UCL Graduate Courses in Numerical Analysis / Seminar Series: Iterative Methods for Large Scale Systems and Eigenvalue Problems, organized by Paul Van Dooren and Stefan Vandewalle), a. Efficient Parallel Implementations of Krylov Subspace Methods, b. Message Passing and Data Parallel Implementation Strategies, c. Truncation Strategies for Optimal Krylov Subspace Methods, 67. Stanford University / SCCM / Dept. Computer Science, USA, 18-21 February, 1998, Parallel Iterative Solvers for Irregular Sparse Matrices in High Performance Fortran, 68. Ecole Polytechniqe / Centre de Mathematiques Appliquées, Paris (Palaiseau), France, 2-6 February, 1998, a. The Convergence of BiCG, b. Parallel Iterative Solvers for Irregular Sparse Matrices in High Performance Fortran, 69. Australian National University/Computer Sciences Laboratory, Canberra, Australia, 10-16 November, 1997, a. Truncation Strategies for Optimal Krylov Subspace Methods, b. Parallel Iterative Solvers for Irregular Sparse Matrices in High Performance Fortran, 70. Stanford University / SCCM, USA, June 30 - August 12, 1997, Truncation Strategies for Optimal Krylov Subspace Methods, 71. Truncation Strategies for Optimal Krylov Subspace Methods, Leslie Fox Prize Meeting 1997, University of Dundee, Scotland, June 23, 1997. Awarded 2nd Prize. 72. MIT Lab for Computer Science, Cambridge MA, USA, 14-18 October, 1996, Parallel Solution of Irregular Sparse Problems using High Performance Fortran, (in Supercomputing Technologies Seminar), 73. Inner-Outer Methods with Deflation for Linear Systems with Multiple Right Hand Sides, Householder Symposium XIII, 17-21 June, 1996, Pontresina, Switzerland, 74. Stanford University/SCCM, USA, 15-19 April, 1996, Inner-Outer Methods with Deflation for Linear Systems with Multiple Right Hand Sides, 75. Inner-Outer Methods with Deflation for Multiple Right Hand Sides, Workshop on Large Sparse Matrix Computations and Lattice Quantum Chromodynamics, University of Kentucky, Lexington, USA, August 31-September 2, 1995. Selected Conference Presentations,
Sessions, and other Lectures (several available online)
(to do) |