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Stefan Güttel
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2020 – today
- 2024
- [j31]Xinye Chen, Stefan Güttel:
fABBA: A Python library for the fast symbolic approximation of time series. J. Open Source Softw. 9(96): 6294 (2024) - [j30]Xinye Chen, Stefan Güttel:
Fast and exact fixed-radius neighbor search based on sorting. PeerJ Comput. Sci. 10: e1929 (2024) - [j29]Xinye Chen, Stefan Güttel:
Fast and explainable clustering based on sorting. Pattern Recognit. 150: 110298 (2024) - [j28]Stefan Güttel, Igor Simunec:
A Sketch-and-Select Arnoldi Process. SIAM J. Sci. Comput. 46(4): 2774- (2024) - [i20]Stefan Güttel, Yuji Nakatsukasa, Marcus Webb, Alban Bloor Riley:
A Sherman-Morrison-Woodbury approach to solving least squares problems with low-rank updates. CoRR abs/2406.15120 (2024) - 2023
- [j27]Stefan Güttel, Marcel Schweitzer:
Randomized Sketching for Krylov Approximations of Large-Scale Matrix Functions. SIAM J. Matrix Anal. Appl. 44(3): 1073-1095 (2023) - [j26]Xinye Chen, Stefan Güttel:
An Efficient Aggregation Method for the Symbolic Representation of Temporal Data. ACM Trans. Knowl. Discov. Data 17(1): 5:1-5:22 (2023) - [i19]Stefan Güttel, Igor Simunec:
A sketch-and-select Arnoldi process. CoRR abs/2306.03592 (2023) - [i18]Liam Burke, Stefan Güttel:
Krylov Subspace Recycling With Randomized Sketching For Matrix Functions. CoRR abs/2308.02290 (2023) - [i17]Liam Burke, Stefan Güttel, Kirk M. Soodhalter:
GMRES with randomized sketching and deflated restarting. CoRR abs/2311.14206 (2023) - 2022
- [j25]Lev Yu. Barash, Stefan Güttel, Itay Hen:
Calculating elements of matrix functions using divided differences. Comput. Phys. Commun. 271: 108219 (2022) - [j24]Stefan Güttel, Gian Maria Negri Porzio, Françoise Tisseur:
Robust Rational Approximations of Nonlinear Eigenvalue Problems. SIAM J. Sci. Comput. 44(4): 2439- (2022) - [i16]Xinye Chen, Stefan Güttel:
An efficient aggregation method for the symbolic representation of temporal data. CoRR abs/2201.05697 (2022) - [i15]Xinye Chen, Stefan Güttel:
Fast and explainable clustering based on sorting. CoRR abs/2202.01456 (2022) - [i14]Vladimir Druskin, Stefan Güttel, Leonid Knizhnerman:
Model order reduction of layered waveguides via rational Krylov fitting. CoRR abs/2203.17052 (2022) - [i13]Stefan Güttel, Marcel Schweitzer:
Randomized sketching for Krylov approximations of large-scale matrix functions. CoRR abs/2208.11447 (2022) - [i12]Stefan Güttel, Daniel Kressner, Bart Vandereycken:
Randomized sketching of nonlinear eigenvalue problems. CoRR abs/2211.12175 (2022) - [i11]Xinye Chen, Stefan Güttel:
Exact fixed-radius nearest neighbor search with an application to clustering. CoRR abs/2212.07679 (2022) - 2021
- [j23]Eduardo Poupard, William Paul Heath, Stefan Güttel:
A Hamiltonian decomposition for fast interior-point solvers in model predictive control. Autom. 133: 109833 (2021) - [j22]Stefan Güttel, Marcel Schweitzer:
A Comparison of Limited-memory Krylov Methods for Stieltjes Functions of Hermitian Matrices. SIAM J. Matrix Anal. Appl. 42(1): 83-107 (2021) - [j21]Ion Victor Gosea, Stefan Güttel:
Algorithms for the Rational Approximation of Matrix-Valued Functions. SIAM J. Sci. Comput. 43(5): A3033-A3054 (2021) - [c3]Xinye Chen, Stefan Güttel:
A fast sorting-based aggregation method for symbolic time series representation. ICDM (Workshops) 2021: 1009-1016 - [i10]Kamil Oster, Stefan Güttel, Jonathan L. Shapiro, Lu Chen, Megan Jobson:
Pre-treatment of outliers and anomalies in plant data: Methodology and case study of a Vacuum Distillation Unit. CoRR abs/2106.14641 (2021) - [i9]Roberto Cahuantzi, Xinye Chen, Stefan Güttel:
A comparison of LSTM and GRU networks for learning symbolic sequences. CoRR abs/2107.02248 (2021) - [i8]Lev Yu. Barash, Stefan Güttel, Itay Hen:
Calculating elements of matrix functions using divided differences. CoRR abs/2107.14124 (2021) - [i7]Kamil Oster, Stefan Güttel, Lu Chen, Jonathan L. Shapiro, Megan Jobson:
Machine Learning-Based Soft Sensors for Vacuum Distillation Unit. CoRR abs/2111.11251 (2021) - 2020
- [j20]Steven Elsworth, Stefan Güttel:
ABBA: adaptive Brownian bridge-based symbolic aggregation of time series. Data Min. Knowl. Discov. 34(4): 1175-1200 (2020) - [j19]Steven Elsworth, Stefan Güttel:
The Block Rational Arnoldi Method. SIAM J. Matrix Anal. Appl. 41(2): 365-388 (2020) - [i6]Stefan Güttel, Daniel Kressner, Kathryn Lund:
Limited-memory polynomial methods for large-scale matrix functions. CoRR abs/2002.01682 (2020) - [i5]Steven Elsworth, Stefan Güttel:
Time Series Forecasting Using LSTM Networks: A Symbolic Approach. CoRR abs/2003.05672 (2020) - [i4]Ion Victor Gosea, Stefan Güttel:
Algorithms for the rational approximation of matrix-valued functions. CoRR abs/2003.06410 (2020) - [i3]Steven Elsworth, Stefan Güttel:
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series. CoRR abs/2003.12469 (2020) - [i2]Stefan Güttel, Marcel Schweitzer:
A comparison of limited-memory Krylov methods for Stieltjes functions of Hermitian matrices. CoRR abs/2006.05922 (2020)
2010 – 2019
- 2019
- [c2]Eduardo Poupard, William Paul Heath, Stefan Güttel:
A Hamiltonian Decomposition-based Splitting Method for Interior Point Solvers in Model Predictive Control. CDC 2019: 4337-4342 - 2018
- [j18]Timothy M. Kinyanjui, Jo Middleton, Stefan Güttel, Jackie Cassell, Joshua V. Ross, Thomas A. House:
Scabies in residential care homes: Modelling, inference and interventions for well-connected population sub-units. PLoS Comput. Biol. 14(3) (2018) - 2017
- [j17]Stefan Güttel, Françoise Tisseur:
The nonlinear eigenvalue problem. Acta Numer. 26: 1-94 (2017) - [j16]Mario Berljafa, Stefan Güttel:
The RKFIT Algorithm for Nonlinear Rational Approximation. SIAM J. Sci. Comput. 39(5) (2017) - [j15]Mario Berljafa, Stefan Güttel:
Parallelization of the Rational Arnoldi Algorithm. SIAM J. Sci. Comput. 39(5) (2017) - 2016
- [j14]Stefan Güttel, Yuji Nakatsukasa:
Scaled and Squared Subdiagonal Padé Approximation for the Matrix Exponential. SIAM J. Matrix Anal. Appl. 37(1): 145-170 (2016) - [j13]Vladimir Druskin, Stefan Güttel, Leonid Knizhnerman:
Near-Optimal Perfectly Matched Layers for Indefinite Helmholtz Problems. SIAM Rev. 58(1): 90-116 (2016) - 2015
- [j12]Mario Berljafa, Stefan Güttel:
Generalized Rational Krylov Decompositions with an Application to Rational Approximation. SIAM J. Matrix Anal. Appl. 36(2): 894-916 (2015) - [j11]Stefan Güttel, Eric Polizzi, Ping Tak Peter Tang, Gautier Viaud:
Zolotarev Quadrature Rules and Load Balancing for the FEAST Eigensolver. SIAM J. Sci. Comput. 37(4) (2015) - [c1]Timothy D. Butters, Stefan Güttel, Jonathan L. Shapiro:
Detecting and reducing redundancy in alarm networks. CASE 2015: 1224-1229 - 2014
- [j10]Stefan Güttel, Jennifer Pestana:
Some observations on weighted GMRES. Numer. Algorithms 67(4): 733-752 (2014) - [j9]Andreas Frommer, Stefan Güttel, Marcel Schweitzer:
Efficient and Stable Arnoldi Restarts for Matrix Functions Based on Quadrature. SIAM J. Matrix Anal. Appl. 35(2): 661-683 (2014) - [j8]Andreas Frommer, Stefan Güttel, Marcel Schweitzer:
Convergence of Restarted Krylov Subspace Methods for Stieltjes Functions of Matrices. SIAM J. Matrix Anal. Appl. 35(4): 1602-1624 (2014) - [j7]Stefan Güttel, Roel Van Beeumen, Karl Meerbergen, Wim Michiels:
NLEIGS: A Class of Fully Rational Krylov Methods for Nonlinear Eigenvalue Problems. SIAM J. Sci. Comput. 36(6) (2014) - [i1]Stefan Güttel, Eric Polizzi, Ping Tak Peter Tang, Gautier Viaud:
Zolotarev Quadrature Rules and Load Balancing for the FEAST Eigensolver. CoRR abs/1407.8078 (2014) - 2013
- [j6]Pedro Gonnet, Stefan Güttel, Lloyd N. Trefethen:
Robust Padé Approximation via SVD. SIAM Rev. 55(1): 101-117 (2013) - [j5]Martin J. Gander, Stefan Güttel:
PARAEXP: A Parallel Integrator for Linear Initial-Value Problems. SIAM J. Sci. Comput. 35(2) (2013) - [p1]Stefan Güttel:
A Parallel Overlapping Time-Domain Decomposition Method for ODEs. Domain Decomposition Methods in Science and Engineering XX 2013: 459-466 - 2012
- [j4]Bernhard Beckermann, Stefan Güttel:
Superlinear convergence of the rational Arnoldi method for the approximation of matrix functions. Numerische Mathematik 121(2): 205-236 (2012) - [j3]Stefan Güttel, Georges Klein:
Convergence of Linear Barycentric Rational Interpolation for Analytic Functions. SIAM J. Numer. Anal. 50(5): 2560-2580 (2012) - 2011
- [j2]Michael Eiermann, Oliver G. Ernst, Stefan Güttel:
Deflated Restarting for Matrix Functions. SIAM J. Matrix Anal. Appl. 32(2): 621-641 (2011) - 2010
- [j1]Bernhard Beckermann, Stefan Güttel, Raf Vandebril:
On the Convergence of Rational Ritz Values. SIAM J. Matrix Anal. Appl. 31(4): 1740-1774 (2010)
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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