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ORCIDEric de Sturler
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2020 – today
- 2023
[i14]Yichen Guo, Eric de Sturler, Tim Warburton:
Stopping Criteria for the Conjugate Gradient Algorithm in High-Order Finite Element Methods. CoRR abs/2305.10965 (2023)- [i13]Misha E. Kilmer, Eric de Sturler:
Subspace Recycling for Sequences of Shifted Systems with Applications in Image Recovery. CoRR abs/2306.15049 (2023) - [i12]Mirjeta Pasha, Eric de Sturler
, Misha E. Kilmer:
Recycling MMGKS for large-scale dynamic and streaming data. CoRR abs/2309.15759 (2023) - 2022
- [i11]Ege Ozsar, Misha Elena Kilmer, Eric L. Miller, Eric de Sturler, Arvind K. Saibaba:
Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR). CoRR abs/2204.09815 (2022) - [i10]Arielle K. Carr, Eric de Sturler, Mark Embree:
Analysis of GMRES for Low-Rank and Small-Norm Perturbations of the Identity Matrix. CoRR abs/2210.12053 (2022) - 2021
- [j20]Arvind K. Saibaba, Pranjal Prasad, Eric de Sturler, Eric L. Miller, Misha E. Kilmer:
Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems. J. Comput. Phys. 440: 110391 (2021) - [j19]Arielle Carr, Eric de Sturler, Serkan Gugercin:
Preconditioning Parametrized Linear Systems. SIAM J. Sci. Comput. 43(3): A2242-A2267 (2021) - [j18]Jiahua Jiang, Julianne Chung, Eric de Sturler:
Hybrid Projection Methods with Recycling for Inverse Problems. SIAM J. Sci. Comput. 43(5): S146-S172 (2021) - [i9]Mirjeta Pasha, Arvind K. Saibaba, Silvia Gazzola, Malena I. Español, Eric de Sturler:
Efficient edge-preserving methods for dynamic inverse problems. CoRR abs/2107.05727 (2021) - 2020
- [i8]Kirk M. Soodhalter, Eric de Sturler, Misha E. Kilmer:
A survey of subspace recycling iterative methods. CoRR abs/2001.10347 (2020) - [i7]Drayton Munster, Eric de Sturler:
Robust Parameter Inversion using Adaptive Reduced Order Models. CoRR abs/2003.10938 (2020) - [i6]Julianne Chung, Eric de Sturler, Jiahua Jiang:
Hybrid Projection Methods with Recycling for Inverse Problems. CoRR abs/2007.00207 (2020) - [i5]Selin S. Aslan, Eric de Sturler, Serkan Gugercin:
Randomization for the Efficient Computation of Parametric Reduced Order Models for Inversion. CoRR abs/2007.06027 (2020) - [i4]Matthias Bolten, Eric de Sturler, Camilla Hahn:
Krylov Subspace Recycling for Evolving Structures. CoRR abs/2010.11447 (2020)
2010 – 2019
- 2019
- [j17]Selin S. Aslan, Eric de Sturler, Misha E. Kilmer:
Randomized Approach to Nonlinear Inversion Combining Random and Optimized Simultaneous Sources and Detectors. SIAM J. Sci. Comput. 41(2): B229-B249 (2019) - 2017
- [j16]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 J. Sci. Comput. 39(2) (2017) - 2015
- [j15]Amit Amritkar, Eric de Sturler, Katarzyna Swirydowicz, Danesh K. Tafti, Kapil Ahuja:
Recycling Krylov subspaces for CFD applications and a new hybrid recycling solver. J. Comput. Phys. 303: 222-237 (2015) - [j14]Eric de Sturler, Serkan Gugercin, Misha Elena Kilmer, Saifon Chaturantabut, Christopher A. Beattie, Meghan O'Connell:
Nonlinear Parametric Inversion Using Interpolatory Model Reduction. SIAM J. Sci. Comput. 37(3) (2015) - [j13]Kapil Ahuja, Peter Benner, Eric de Sturler, Lihong Feng:
Recycling BiCGSTAB with an Application to Parametric Model Order Reduction. SIAM J. Sci. Comput. 37(5) (2015) - [i3]Amit Amritkar, Eric de Sturler, Katarzyna Swirydowicz, Danesh K. Tafti, Kapil Ahuja:
Recycling Krylov subspaces for CFD applications. CoRR abs/1501.03358 (2015) - 2013
- [i2]Alexandru Cioaca, Adrian Sandu, Eric de Sturler:
Efficient methods for computing observation impact in 4D-Var data assimilation. CoRR abs/1305.5796 (2013) - 2012
- [j12]Kapil Ahuja, Eric de Sturler, Serkan Gugercin, Eun R. Chang:
Recycling BiCG with an Application to Model Reduction. SIAM J. Sci. Comput. 34(4) (2012) - 2011
- [j11]Kapil Ahuja, Bryan K. Clark, Eric de Sturler, David M. Ceperley, Jeongnim Kim:
Improved Scaling for Quantum Monte Carlo on Insulators. SIAM J. Sci. Comput. 33(4): 1837-1859 (2011) - [j10]Eric de Sturler, Misha Elena Kilmer:
A Regularized Gauss-Newton Trust Region Approach to Imaging in Diffuse Optical Tomography. SIAM J. Sci. Comput. 33(5): 3057-3086 (2011) - [c9]Alexandru Cioaca, Adrian Sandu, Eric de Sturler, Emil M. Constantinescu:
Efficient Computation of Observation Impact in 4D-Var Data Assimilation. WoCoUQ 2011: 250-264 - 2010
- [i1]Shun Wang, Eric de Sturler, Glaucio H. Paulino:
Dynamic Adaptive Mesh Refinement for Topology Optimization. CoRR abs/1009.4975 (2010)
2000 – 2009
- 2006
- [j9]Christopher M. Siefert, Eric de Sturler:
Preconditioners for Generalized Saddle-Point Problems. SIAM J. Numer. Anal. 44(3): 1275-1296 (2006) - [j8]Misha Elena Kilmer, Eric de Sturler:
Recycling Subspace Information for Diffuse Optical Tomography. SIAM J. Sci. Comput. 27(6): 2140-2166 (2006) - [j7]Michael L. Parks, Eric de Sturler, Greg Mackey, Duane D. Johnson, Spandan Maiti:
Recycling Krylov Subspaces for Sequences of Linear Systems. SIAM J. Sci. Comput. 28(5): 1651-1674 (2006) - 2005
- [j6]Eric de Sturler, Jörg Liesen:
Block-Diagonal and Constraint Preconditioners for Nonsymmetric Indefinite Linear Systems. Part I: Theory. SIAM J. Sci. Comput. 26(5): 1598-1619 (2005) - 2002
- [j5]Alla Sheffer, Eric de Sturler:
Smoothing an overlay grid to minimize linear distortion in texture mapping. ACM Trans. Graph. 21(4): 874-890 (2002) - 2001
- [j4]Alla Sheffer, Eric de Sturler:
Parameterization of Faceted Surfaces for Meshing using Angle-Based Flattening. Eng. Comput. 17(3): 326-337 (2001) - [c8]Milind A. Bhandarkar, Laxmikant V. Kalé, Eric de Sturler, Jay P. Hoeflinger:
Adaptive Load Balancing for MPI Programs. International Conference on Computational Science (2) 2001: 108-117 - [c7]Jörg Liesen, Eric de Sturler, Alla Sheffer, Yelda Aydin, Christopher M. Siefert:
Preconditioners for Indefinite Linear Systems Arising in Surface Parameterization. IMR 2001 - 2000
- [c6]Eric de Sturler, Jay P. Hoeflinger, Laxmikant V. Kalé, Milind A. Bhandarkar:
A New Approach to Software Integration Frameworks for Multi-physics Simulation Codes. The Architecture of Scientific Software 2000: 87-104 - [c5]Alla Sheffer, Eric de Sturler:
Surface Parameterization For Meshing by Triangulation Flattening. IMR 2000: 161-172
1990 – 1999
- 1998
- [j3]Eric de Sturler, Damian Loher:
Parallel iterative solvers for irregular sparse matrices in High Performance Fortran. Future Gener. Comput. Syst. 13(4-5): 315-325 (1998) - [c4]Eric de Sturler:
Object Oriented Programming in High Performance Fortran. ECOOP Workshops 1998: 470-471 - 1997
- [j2]Eric de Sturler, Volker Strumpen:
Scientific Programming with High Performance Fortran: A Case Study Using the xHPF Compiler. Sci. Program. 6(1): 127-152 (1997) - [c3]Eric de Sturler, Damian Loher:
Parallel Solution of Irregular, Sparse Matrix Problems Using High Performance Fortran. HPCN Europe 1997: 360-369 - [c2]Eric de Sturler, Damian Loher:
Implementing Iterative Solvers for Irregular Sparse Matrix Problems in High Performance Fortran. ISHPC 1997: 293-304 - 1996
- [j1]Eric de Sturler:
A Performance Model for Krylov Subspace Methods on Mesh-Based Parallel Computers. Parallel Comput. 22(1): 57-74 (1996) - 1994
- [c1]Eric de Sturler, Henk A. van der Vorst:
Communication Cost Reduction for Krylov Methods on Parallel Computers. HPCN 1994: 190-195
Coauthor Index
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