Eric de Sturler - Department of Mathematics, Virginia Tech

Main Info

Contact Info

Teaching Statement

Recent publications

Householder Symposium XX: Local Organizing Committee

Serkan Gugercin, Tia Chung, Mark Embree, Chris Beattie, Julianne Chung, and Eric de Sturler

Householder Symposium XX

Michele Benzi, Eric de Sturler, Daniel Szyld, Rich Lehoucq, Andreas Frommer

Eric de Sturler (Google Scholar Profile)

Professor, Department of Mathematics, Virginia Tech

Professor, Computational Modeling and Data Analytics, Academy of Integrated Science, Virginia Tech

Selected Professional Activities

Local Organizing Committee ILAS 2026

Board of Directors of the Computing Research Association (CRA) 2014 – 2022

2^nd Lanczos Workshop: Continuous and discrete iterative methods for image and signal reconstruction, Trinity College Dublin, 2022.

Proceedings Paper Committee, SIAM Conference on Parallel Processing for Scientific Computing, 2022.

Local Organizing Committee, Householder Symposium XX, 2017

International Scientific Committee, 13th International Symposium on Multiscale, Multifunctional and Functionally Graded Materials, October 19 – 22, 2014, Taua Resort, SP, Brazil

Affiliate faculty of Center for Synergistic Environments for Experimental Computing

Affiliate faculty of the Materials Computation Center at the University of Illinois at Urbana-Champaign

Selected Previous Boards, Conferences Chaired, Organizing Committees, Affiliations

VT Mathematics Department Chair 2018 – 2022

Co-Chair, Workshop Efficient Solution of Large Systems of Nonlinear PDEs in Science, Ecole Normale Superieure de Lyon (2013)

General co-Chair 13th 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)

Editor Applied Numerical Mathematics (2005-2015)

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

Description: Description: Description: Math Departement and Faculty Pool

Virginia Tech Mathematics Department and Faculty Pool.

Contact Information

Description: Description: Description: Blacksburg Beaches

Blacksburg's Beaches

Department of Mathematics

460 McBryde Hall

Virginia Tech

225 Stanger Street

Blacksburg, VA 24061-0123, USA

phone: +1 (540) 231 5279

fax: +1 (540) 231-5960

email: sturler_at_vt_edu

The Rime of the Ancient Professor

O teach me, teach me, learned man!

The student did implore.

Tell me, quoth she, of PDE

And ODE much more.

Since then, each week the selfsame hour,

That agony returns:

And till I have my lecture told,

This heart within me burns.

Forthwith this frame of mine was wrenched

With a woeful agony,

Which forced me to begin my class;

And then it left me free.

Three times a week I go to class;

I have strange power of speech;

That moment that her face I see,

I know the student must hear me:

To her my class I teach.

(EdS, after Coleridge's The Rime of the Ancient Mariner)

Description: Description: Description: Virginia Tech, view from across the New River

Virginia Tech, view from across the New River

Recent publications (send email if not yet available online)

· Yichen Guo, Eric de Sturler, and Tim Warburton, Stopping Criteria for the Conjugate Gradient Algorithm in High-Order Finite Element Methods, SIAM Journal on Scientific Computing, accepted, draft https://arxiv.org/abs/2305.10965, 2024.

· Mirjeta Pasha, Eric de Sturler, Misha E. Kilmer, Recycling MMGKS for Large-Scale Dynamic and Streaming Data, submitted, draft available from https://arxiv.org/abs/2309.15759, 2023.

· Misha E. Kilmer and Eric de Sturler, Subspace Recycling for Sequences of Shifted Systems with Applications in Image Recovery, submitted, draft https://arxiv.org/abs/2306.15049, 2023.

· Mirjeta Pasha, Arvind K. Saibaba, Silvia Gazzola, Malena I. Espanol, Eric de Sturler, A Computational Framework for Edge-Preserving Regularization in Dynamic Inverse Problems, Electronic Transactions on Numerical Analysis (ETNA) 58, 2023, 486 – 516. Draft available from https://arxiv.org/abs/2107.05727.

· Arielle Car, Eric de Sturler, Mark Embree, Analysis of GMRES for Low-Rank and Small-Norm Perturbations of the Identity Matrix, Proc. Applied Math. Mech. (PAMM) 22(1), e202200267, 2023.

· Ege Ozsar, Misha Kilmer, Eric Miller, Eric de Sturler, Arvind Saibaba, Parametric Level-sets Enhanced to Improve Reconstruction (PaLEnTIR), https:// https://arxiv.org/abs/2204.09815, 2022.

· Matthias Bolten, Eric de Sturler, Camilla Hahn, Michael L. Parks, Krylov Subspace Recycling for Evolving Structures, Computer Methods in Applied Mechanics and Engineering 391, https://doi.org/10.1016/j.cma.2021.114222 (2022), 114222.

· Arvind K. Saibaba, Pranjal Prasad, Eric de Sturler, Eric Miller, and Misha E. Kilmer, Randomized Approaches to Accelerate MCMC Algorithms for Bayesian Inverse Problems, Journal of Computational Physics, 440 (2021), 110391.

· Arielle Grim-McNally, Eric de Sturler, and Serkan Gugercin, Preconditioning Parametrized Linear Systems, SIAM Journal of Scientific Computing, 43 (2021), A2242 – A2267, © SIAM. Draft available from https://arxiv.org/abs/1601.05883 (update April 2020).

· Julianne Chung, Eric de Sturler, and Jiahua Jiang, Hybrid Projection Methods with Recycling for Inverse Problems, SIAM Journal on Scientific Computing 43 (2021), S146 – S172, Special Section Copper Mountain 2020, © SIAM. Draft available from https://arxiv.org/abs/2007.00207.

· Kirk Soodhalter, Eric de Sturler, and Misha E. Kilmer, A Survey of Subspace Recycling Iterative Methods, GAMM-Mitteilungen 43(4) (2020), Special Issue: Topical Issue Applied and Numerical Linear Algebra Part II (invited). Draft available from https://arxiv.org/abs/2001.10347.

· Selin Aslan, Eric de Sturler, Serkan Gugercin, Randomization for the Efficient Computation of Parametric Reduced Order Models for Inversion, submitted. Draft available from https://arxiv.org/abs/2007.06027.

· Drayton Munster and Eric de Sturler, Robust Parameter Inversion Using Adaptive Reduced Order Models, under revision. Draft available from https://arxiv.org/abs/2003.10938.

· Xiaojia Shelly Zhang, Eric de Sturler, Alexander Shapiro, Topology Optimization with Many Right-Hand Sides Using a Mirror Descent Stochastic Approximation – Reduction from Many to a Single Sample, Journal of Applied Mechanics, 87 (2020), 051005 (16 pages).

Selected Grants, Projects, and Centers

· Efficient Solver Algorithms for GPUs, NSF

· OP: Collaborative Research: NoFRILS Inversion: Novel Feature-Based, Randomized Methods for Large-Scale Inversion, NSF.

· I/UCRC Center for Advanced Subsurface Earth Resource Models (CASERM), NSF.

· Ultralight hierarchical active morphing metamaterials, ICTAS-VT.

· A Deep-Leaming Approach towards Auto-Tuning CFD Codes, AFOSR.

· Early-Career and Student Support for the XX Householder Symposium, NSF.

· Linear and Nonlinear Systems and Optimization with Applications in Medical Imaging, Optimal Design, and Graphics (short course taught at IIT Indore), Global Initiative of Academic Networks in Higher Education – GIAN (India).

· AFOSR-BRI: Co-Design of Hardware/Software for Predicting MAV Aerodynamics, AFOSR

· Collaborative Research: Innovative Integrative Strategies for Nonlinear Parametric Inversion, NSF.

· Center for Synergistic Environments for Experimental Computing, VT

· Collaborative Research: CMG: Quantum Monte Carlo Calculations of Deep Earth Materials 2, NSF EAR & NSF DMS.

· Collaborative Research: Unifying mechanistic and dynamic mathematical models of stomatal behavior and photosynthesis, NSF.

· MRI-R2: Acquisition of a Heterogeneous Supercomputing Instrument for Transformative Interdisciplinary Research, NSF CNS 0960081.

· Collaborative Research: CMG: Quantum Monte Carlo Calculations of Deep Earth Materials 1, NSF EAR & NSF DMS.

· Materials Computation Center 2, NSF.

· Development of Interoperability-based Environment for Adaptive Meshes with Application to Radiation-Hydrodynamic Models of Gamma Ray Bursts, NASA.

· Center for Simulation of Advanced Rockets (CSAR) 2, University of Illinois at Urbana-Champaign, Department of Energy.

· Surface Parameterization for Meshing, funded by Sandia National Laboratories.

· Materials Computation Center 1, NSF.

· Combined Research and Curriculum Development in Computational Materials Science, NSF.

· Center for Simulation of Advanced Rockets (CSAR) 1, University of Illinois at Urbana-Champaign, Department of Energy.

Postdocs & Students

Michal Outrata (Postdoc)
Pranjal (Postdoc)
Behzad Baghapour (Postdoc)
Keyur Joshi (Postdoc)
Amit Amritkar (Postdoc, University of Houston)
Xiao Xu (Postdoc, KAUST)
Saifon Chaturantabut (Postdoc, Assistant Professor at Thammasat University, Bangkok)

· Arielle Carr (Grimm McNally) (PhD Math VT 2021, Assistant Professor of CS at Lehigh University)

Drayton Munster (PhD Math VT, 2019, NASA Glenn Research Center)
Selin Saruaydin (PhD Math VT, 2018, Argonne National Lab)
Xiaojia Shelly Zhang (PhD Civil Engineering Georgia Tech 2018, Assistant Professor Civil and Environmental Engineering, University of Illinois at Urbana-Champaign)
Katarzyna Swirydowicz (PhD Math VT, 2017, Computational Scientist, Pacific Northwest National Lab)
Arielle Grim McNally (MS Math VT)
Li Ming (PhD Math, VT 2015, Microsoft)
Marissa Renardy (MS Math, VT, Postdoc at University of Michigan)
Kapil Ahuja (PhD Math VT 2011, Associate Professor, IIT Indore)
Xinguang Zhu (PhD Plant Biology UIUC 2004 & Postdoc UIUC, Professor and Group Leader, Institute for Computational Biology – Chinese Academy of Sciences, Shanghai)
Shun Wang (PhD CS 2007, UIUC, Credit Suisse)
Chris Siefert (PhD CS 2006, UIUC, Sandia National Laboratories)
Zhen Cheng (MS CS 2005, UIUC, Morgan Stanley)
Mike Parks (PhD CS 2005, UIUC, Sandia National Laboratories)
Ben Kaap (BS CS 2004)
Naomi Caldwell (MCS 2004)
Greg Mackey (MS CS 2003, UIUC, Sandia National Laboratories)
Joerg Liesen (Postdoc UIUC, Professor at TU Berlin)
Hormozd Gahvari (BS CS honors thesis)
Mark Hoemmen (BS CS honors thesis, UIUC, Sandia National Laboratories)
Jie Zheng (MCS 2001)
Alla Sheffer (Postdoc UIUC, Professor at University of British Columbia)

Some Lecture Notes

· Math & CS 5485 Numerical Analysis and Software – Iterative Methods for Large Sparse Linear Systems (lecture notes)

· Math & CS 5486 Numerical Analysis and Software – Large-Scale Optimization and Nonlinear Systems of Equations (lecture notes)

· Nonlinear Inverse Problems (lecture notes)

Short Courses

Linear and Nonlinear Systems and Optimization with Applications in Medical Imaging, Optimal Design, and Graphics (short course taught at IIT Indore), Global Initiative of Academic Networks in Higher Education – GIAN (India)
2012 Summerschool on Computational Materials Science - Quantum Monte Carlo: Theory and Fundamentals (including online materials) with online lectures, University of Illinois at Urbana-Champaign, July 23 – 28, 2012.
Summerschool on Computational Materials Science, Introduction to Computational Nanotechnology, Materials Computation Center, University of Illinois at Urbana-Champaign, June 7 - 18, 2004, Lecture notes
Summerschool on Computational Materials Science, Tools for Multiple Length and Time Scales, Materials Computation Center, University of Illinois at Urbana-Champaign, May 29 - June 7, 2001. Lecture notes on MCC website (4 lectures on Krylov subspace methods for linear systems and eigenvalue solvers, and multigrid methods; and lab exercises with additional explanations)
Implementation Aspects and Parallelism in Krylov Methods; Katholieke Universiteit Leuven (KUL), Leuven, Belgium, 22-24 April, 1998; 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. Lecture notes (efficient parallel implementations and messaging passing and data-parallel implementations)
Iterative Linear Solvers and Preconditioners (with Martin Gutknecht and Michele Benzi); ETH Zurich, October 16-17, 1997; Lectures on optimal methods, optimal truncation, and software.
University of Basel, Institut fuer Informatik, May 12-14, 1997, High Performance Fortran Course, Basic issues in (data) parallel programming; High Performance Fortran: an overview; Fortran 90; Data mapping; Data Parallelism; System and data mapping inquiry functions; Compiler and tools; Programming examples and performance studies.

Publications

Selected Journal and Proceedings/Book Publications (send email if not available online)

· Mirjeta Pasha, Eric de Sturler, Misha E. Kilmer, Recycling MMGKS for Large-Scale Dynamic and Streaming Data, submitted, draft available from https://arxiv.org/abs/2309.15759, 2023.

Misha E. Kilmer and Eric de Sturler, Subspace Recycling for Sequences of Shifted Systems with Applications in Image Recovery, submitted, draft https://arxiv.org/abs/2306.15049, 2023.
Arielle Car, Eric de Sturler, Mark Embree, Analysis of GMRES for Low-Rank and Small-Norm Perturbations of the Identity Matrix, Proc. Applied Math. Mech. (PAMM) 22(1), e202200267, 2023.
Mirjeta Pasha, Arvind K. Saibaba, Silvia Gazzola, Malena I. Espanol, and Eric de Sturler, A Computational Framework for Edge-Preserving Regularization in Dynamic Inverse Problems, Electronic Transactions in Numerical Analysis (ETNA) 58, 2023, 486 – 516. Draft available from https://arxiv.org/abs/2107.05727.
Yichen Guo, Eric de Sturler, and Tim Warburton, Stopping Criteria for the Conjugate Gradient Algorithm in High-Order Finite Element Methods, submitted, draft https://arxiv.org/abs/2305.10965, 2023.
Ege Ozsar, Misha Kilmer, Eric Miller, Eric de Sturler, Arvind Saibaba, Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR), https:// https://arxiv.org/abs/2204.09815, 2022.
Mirjeta Pasha, Arvind K. Saibaba, Silvia Gazzola, Malena I. Espanol, Eric de Sturler, Efficient Edge-Preserving Methods for Dynamic Inverse Problems, submitted, draft available from https://arxiv.org/abs/2107.05727.

· Julianne Chung, Eric de Sturler, and Jiahua Jiang, Hybrid Projection Methods with Recycling for Inverse Problems, SIAM Journal on Scientific Computing (2021), S146 – S172, Special Section Copper Mountain 2020, © SIAM. Draft available from https://arxiv.org/abs/2007.00207.

· Drayton Munster and Eric de Sturler, Robust Parameter Inversion Using Adaptive Reduced Order Models, submitted. Draft available from https://arxiv.org/abs/2003.10938.

· Selin S. Aslan, Eric de Sturler, Misha E. Kilmer, Randomized Approach to Nonlinear Inversion Combining Random and Optimized Simultaneous Sources and Detectors, SIAM Journal on Scientific Computing, 41 (2019), B229 – B249. Draft available from https://arxiv.org/pdf/1706.05586.pdf.

· Xiaojia Zhang, Eric de Sturler, Glaucio H. Paulino, Stochastic Sampling for Deterministic Structural Topology Optimization with Many Load Cases: Density-based and Ground Structure Approaches, Computer Methods in Applied Mechanics and Engineering, 325 (2017), 463 – 487. Draft available from http://arxiv.org/pdf/1609.03099v1.pdf.

· Xiaojia Zhang, Eric de Sturler, Glaucio H. Paulino, Stochastic Sampling for Deterministic Structural Topology Optimization with Many Load Cases: Density-based and Ground Structure Approaches, Computer Methods in Applied Mechanics and Engineering, 325 (2017) 463 – 487, draft available from http://arxiv.org/pdf/1609.03099v1.pdf.

· Meghan O’Connell, Misha E. Kilmer, Eric de Sturler, Serkan Gugercin, Computing Reduced Order Models via Inner-Outer Krylov Recycling in Diffuse Optical Tomography, SIAM Journal on Scientific Computing, 39 (2017), B272 – B297, draft available from http://arxiv.org/pdf/1602.00138v1.pdf.

· W.C. Tyson, K. Swirydowicz, J.M. Derlaga, C.J. Roy, E. de Sturler, Improved Functional-Based Error Estimation and Adaptation without Adjoints, AIAA-2016-3809, 46th AIAA Fluid Dynamics Conference, AIAA Aviation 2016, June 13 – 17, Washington, D.C.

· Kapil Ahuja, Peter Benner, Eric de Sturler, and Lihong Feng, Recycling BiCGSTAB with an Application to Parametric Model Order Reduction, SIAM Journal on Scientific Computing 37(5), S429 - S466, 2015.

· Amit Amritkar, Eric de Sturler, Katarzyna Swirydowicz, Danesh Tafti, and Kapil Ahuja, Recycling Krylov subspaces for CFD applications and a new hybrid recycling solver, Journal of Computational Physics 303, 222 – 237, 2015.

· Eric de Sturler, Serkan Gugercin, Misha E. Kilmer, Saifon Chaturantabut, Christopher Beattie, and Meghan O'Connell, Nonlinear Parametric Inversion using Interpolatory Model Reduction, SIAM Journal on Scientific Computing 37(3), B495 – B517, 2015. Draft available from http://arxiv.org/abs/1311.0922.

· Alexandru Cioaca, Adrian Sandu, and Eric de Sturler, Efficient Methods for Computing Observation Impact in 4D-Var Data Assimilation, Computational Geosciences 17(6), 975 – 990, 2013. DOI 10.1007/s10596-013-9370-2.

· 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.

· 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.

· 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.

· 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.

· 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.

· 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.

· 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).

· 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.

· 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.

· 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.

· 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.

· Kapil Ahuja, Eric de Sturler, Eun R. Chang, and S. Gugercin, Recycling BiCG, submitted to SIAM Journal on Scientific Computing.

· 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),

· 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),

· 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,

· 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)

· 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, original version available as Technical Report UIUCDCS-R-2006-2678 and UILU-ENG-2006-1705.

· 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, original version available as tech. report UIUCDCS-R-2004-242, March 2004,

· 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", original version available as Tech. Report UIUCDCS-R-2005-2540 and UILU-ENG-2005-1744, March 2005,

· 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.

· 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),

· 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,

· Chris Siefert and Eric de Sturler, Preconditioners for Generalized Saddle-Point Problems, accepted for publication in SIAM Journal on Numerical Analysis, December 2005, original version available as Technical Report UIUCDCS-R-2004-2448, June 2004,

· 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,

· 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,

· Eric de Sturler, Improving the Convergence of the Jacobi-Davidson Algorithm, Technical Report UIUCDCS-R-2000-2173, 2000,

· 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).

· 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.

· 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),

· 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.

· 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.

· 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).

· 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.

· 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.

· 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.

· 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.

· 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.

· 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.

· 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.

· E. de Sturler, Nested Krylov Methods based on GCR, Journal of Computational and Applied Mathematics Vol. 67 (1996), pp. 15-41.

· E. de Sturler, A Performance Model for Krylov Subspace Methods on Mesh-based Parallel Computers, Parallel Computing Vol. 22 (1996), pp. 57-74.

· 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.

· 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.

· 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.

· 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.

· 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.

· 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.

· 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).

· 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.

· 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.

· 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.

· 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.