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2020 – today
- 2024
[j45]Sean Reiter
, Tobias Damm, Mark Embree, Serkan Gugercin:
On the balanced truncation error bound and sign parameters from arrowhead realizations. Adv. Comput. Math. 50(1): 10 (2024)- [j44]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structured interpolation for multivariate transfer functions of quadratic-bilinear systems. Adv. Comput. Math. 50(2): 18 (2024) - [j43]Ion Victor Gosea, Serkan Gugercin, Steffen W. R. Werner:
Structured barycentric forms for interpolation-based data-driven reduced modeling of second-order systems. Adv. Comput. Math. 50(2): 26 (2024) - [i53]Petar Mlinaric, Peter Benner, Serkan Gugercin:
Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. CoRR abs/2401.10047 (2024) - [i52]Sean Reiter, Igor Pontes Duff, Ion Victor Gosea, Serkan Gugercin:
𝓗2 optimal model reduction of linear systems with multiple quadratic outputs. CoRR abs/2405.05951 (2024) - [i51]Alessandro Borghi, Tobias Breiten, Serkan Gugercin:
Balanced truncation with conformal maps. CoRR abs/2405.15656 (2024) - [i50]Michael S. Ackermann, Serkan Gugercin:
Time-Domain Iterative Rational Krylov Method. CoRR abs/2407.12670 (2024) - [i49]Ion Victor Gosea, Serkan Gugercin, Christopher Beattie:
A non-intrusive data-based reformulation of a hybrid projection-based model reduction method. CoRR abs/2407.13073 (2024) - 2023
- [j42]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
A unifying framework for tangential interpolation of structured bilinear control systems. Numerische Mathematik 155(3-4): 445-483 (2023) - [j41]Petar Mlinaric, Serkan Gugercin:
A Unifying Framework for Interpolatory \({\boldsymbol{\mathcal{L}_2}}\)-Optimal Reduced-Order Modeling. SIAM J. Numer. Anal. 61(5): 2133-2156 (2023) - [j40]Michael C. Brennan, Mark Embree, Serkan Gugercin:
Contour Integral Methods for Nonlinear Eigenvalue Problems: A Systems Theoretic Approach. SIAM Rev. 65(2): 439-470 (2023) - [j39]Petar Mlinaric, Serkan Gugercin:
\(\boldsymbol{\mathcal{L}_2}\)-Optimal Reduced-Order Modeling Using Parameter-Separable Forms. SIAM J. Sci. Comput. 45(2): 554- (2023) - [j38]Andrea Carracedo Rodriguez, Linus Balicki, Serkan Gugercin:
The p-AAA Algorithm for Data-Driven Modeling of Parametric Dynamical Systems. SIAM J. Sci. Comput. 45(3): 1332-1358 (2023) - [i48]Boris Kramer, Serkan Gugercin, Jeff Borggaard:
Nonlinear Balanced Truncation: Part 2 - Model Reduction on Manifolds. CoRR abs/2302.02036 (2023) - [i47]Ion Victor Gosea, Serkan Gugercin, Steffen W. R. Werner:
Structured barycentric forms for interpolation-based data-driven reduced modeling of second-order systems. CoRR abs/2303.12576 (2023) - [i46]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structured interpolation for multivariate transfer functions of quadratic-bilinear systems. CoRR abs/2304.14292 (2023) - [i45]Petar Mlinaric, Peter Benner, Serkan Gugercin:
Interpolatory H2-optimality Conditions for Structured Linear Time-invariant Systems. CoRR abs/2310.10618 (2023) - [i44]Petar Mlinaric, Christopher Beattie, Zlatko Drmac, Serkan Gugercin:
IRKA is a Riemannian Gradient Descent Method. CoRR abs/2311.02031 (2023) - [i43]Michael S. Ackermann, Serkan Gugercin:
Frequency-Based Reduced Models from Purely Time-Domain Data via Data Informativity. CoRR abs/2311.05012 (2023) - [i42]Sean Reiter, Ion Victor Gosea, Serkan Gugercin:
Generalizations of data-driven balancing: what to sample for different balancing-based reduced models. CoRR abs/2312.12561 (2023) - 2022
- [j37]Ion Victor Gosea, Serkan Gugercin:
Data-Driven Modeling of Linear Dynamical Systems with Quadratic Output in the AAA Framework. J. Sci. Comput. 91(1): 16 (2022) - [j36]Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan:
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. J. Sci. Comput. 91(1): 29 (2022) - [j35]Ion Victor Gosea, Serkan Gugercin, Christopher Beattie:
Data-Driven Balancing of Linear Dynamical Systems. SIAM J. Sci. Comput. 44(1): 554- (2022) - [c25]Nitin Shyamkumar, Serkan Gugercin, Benjamin Peherstorfer:
Towards context-aware learning for control: Balancing stability and model-learning error. ACC 2022: 4808-4813 - [i41]Bita Safaee, Serkan Gugercin:
Structure-Preserving Model Reduction for Nonlinear Power Grid Network. CoRR abs/2203.09021 (2022) - [i40]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
A unifying framework for tangential interpolation of structured bilinear control systems. CoRR abs/2206.01657 (2022) - [i39]Petar Mlinaric, Serkan Gugercin:
L2-optimal Reduced-order Modeling Using Parameter-separable Forms. CoRR abs/2206.02929 (2022) - [i38]Petar Mlinaric, Serkan Gugercin:
A Unifying Framework for Interpolatory $\mathcal{L}_2$-optimal Reduced-order Modeling. CoRR abs/2209.00714 (2022) - 2021
- [j34]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structure-preserving interpolation of bilinear control systems. Adv. Comput. Math. 47(3): 43 (2021) - [j33]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structure-preserving interpolation for model reduction of parametric bilinear systems. Autom. 132: 109799 (2021) - [j32]Arielle Carr, Eric de Sturler, Serkan Gugercin:
Preconditioning Parametrized Linear Systems. SIAM J. Sci. Comput. 43(3): A2242-A2267 (2021) - [c24]Bita Safaee, Serkan Gugercin:
Structure-preserving Model Reduction of Parametric Power Networks. ACC 2021: 1824-1829 - [c23]Bita Safaee, Serkan Gugercin:
Data-driven modeling of power networks1. CDC 2021: 4236-4241 - [c22]Ion Victor Gosea, Serkan Gugercin, Benjamin Unger:
Parametric model reduction via rational interpolation along parameters. CDC 2021: 6895-6900 - [i37]V. V. N. Sriram Malladi, Mohammad I. Albakri, Manu Krishnan, Serkan Gugercin, Pablo A. Tarazaga:
Estimating Experimental Dispersion Curves from Steady-State Frequency Response Measurements. CoRR abs/2101.00155 (2021) - [i36]Bita Safaee, Serkan Gugercin:
Structure-preserving Model Reduction of Parametric Power Networks. CoRR abs/2102.05179 (2021) - [i35]Ion Victor Gosea, Serkan Gugercin:
Data-driven modeling of linear dynamical systems with quadratic output in the AAA framework. CoRR abs/2102.13487 (2021) - [i34]Ion Victor Gosea, Serkan Gugercin, Christopher Beattie:
Data-driven balancing of linear dynamical systems. CoRR abs/2104.01006 (2021) - [i33]Ion Victor Gosea, Serkan Gugercin, Benjamin Unger:
Parametric model reduction via rational interpolation along parameters. CoRR abs/2104.01016 (2021) - [i32]Bita Safaee, Serkan Gugercin:
Data-driven modeling of power networks. CoRR abs/2104.06478 (2021) - [i31]Steffen W. R. Werner, Ion Victor Gosea, Serkan Gugercin:
Structured vector fitting framework for mechanical systems. CoRR abs/2110.09220 (2021) - [i30]Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan:
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. CoRR abs/2111.13246 (2021) - 2020
- [j31]Christopher Beattie, Serkan Gugercin, Zoran Tomljanovic:
Sampling-free model reduction of systems with low-rank parameterization. Adv. Comput. Math. 46(6): 83 (2020) - [j30]Benjamin Peherstorfer, Zlatko Drmac, Serkan Gugercin:
Stability of Discrete Empirical Interpolation and Gappy Proper Orthogonal Decomposition with Randomized and Deterministic Sampling Points. SIAM J. Sci. Comput. 42(5): A2837-A2864 (2020) - [i29]Andrea Carracedo Rodriguez, Serkan Gugercin:
The p-AAA algorithm for data driven modeling of parametric dynamical systems. CoRR abs/2003.06536 (2020) - [i28]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structure-Preserving Interpolation of Bilinear Control Systems. CoRR abs/2005.00795 (2020) - [i27]Ion Victor Gosea, Serkan Gugercin:
The AAA framework for modeling linear dynamical systems with quadratic output. CoRR abs/2005.10316 (2020) - [i26]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) - [i25]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structure-Preserving Interpolation for Model Reduction of Parametric Bilinear Systems. CoRR abs/2007.11269 (2020) - [i24]Sean Reiter, Mark Embree, Serkan Gugercin:
The balanced truncation bound is tight for SISO systems when the truncated system is state-space symmetric. CoRR abs/2011.07170 (2020) - [i23]Michael C. Brennan, Mark Embree, Serkan Gugercin:
Contour Integral Methods for Nonlinear Eigenvalue Problems: A Systems Theoretic Approach. CoRR abs/2012.14979 (2020)
2010 – 2019
- 2019
- [j29]Benjamin Unger, Serkan Gugercin:
Kolmogorov n-widths for linear dynamical systems. Adv. Comput. Math. 45(5): 2273-2286 (2019) - [j28]Klajdi Sinani, Serkan Gugercin:
H2(tf) optimality conditions for a finite-time horizon. Autom. 110 (2019) - [i22]Tobias Breiten, Christopher A. Beattie, Serkan Gugercin:
H2-gap model reduction for stabilizable and detectable systems. CoRR abs/1909.13764 (2019) - [i21]Christopher A. Beattie, Serkan Gugercin, Volker Mehrmann:
Structure-preserving Interpolatory Model Reduction for Port-Hamiltonian Differential-Algebraic Systems. CoRR abs/1910.05674 (2019) - [i20]Christopher Beattie, Zlatko Drmac, Serkan Gugercin:
Revisiting IRKA: Connections with pole placement and backward stability. CoRR abs/1911.05804 (2019) - [i19]Christopher Beattie, Serkan Gugercin, Zoran Tomljanovic:
Sampling-free parametric model reduction for structured systems. CoRR abs/1912.11382 (2019) - [i18]Mohammad I. Albakri, Vijaya V. N. Sriram Malladi, Serkan Gugercin, Pablo A. Tarazaga:
Estimating Dispersion Curves from Frequency Response Functions via Vector-Fitting. CoRR abs/1912.12348 (2019) - 2018
- [j27]Zoran Tomljanovic, Christopher Beattie, Serkan Gugercin:
Damping optimization of parameter dependent mechanical systems by rational interpolation. Adv. Comput. Math. 44(6): 1797-1820 (2018) - [j26]Andrea Carracedo Rodriguez, Serkan Gugercin, Jeff Borggaard:
Interpolatory model reduction of parameterized bilinear dynamical systems. Adv. Comput. Math. 44(6): 1887-1916 (2018) - [j25]Peter Benner, Pawan Goyal, Serkan Gugercin:
H2-Quasi-Optimal Model Order Reduction for Quadratic-Bilinear Control Systems. SIAM J. Matrix Anal. Appl. 39(2): 983-1032 (2018) - [i17]Benjamin Unger, Serkan Gugercin:
Kolmogorov n-widths for linear dynamical systems. CoRR abs/1806.09880 (2018) - [i16]Klajdi Sinani, Serkan Gugercin:
H2(tf) Optimality Conditions for a Finite-time Horizon. CoRR abs/1806.10797 (2018) - 2017
- [j24]Christopher Beattie, Serkan Gugercin, Volker Mehrmann:
Model reduction for systems with inhomogeneous initial conditions. Syst. Control. Lett. 99: 99-106 (2017) - [j23]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) - [j22]Benjamin Peherstorfer, Serkan Gugercin, Karen Willcox:
Data-Driven Reduced Model Construction with Time-Domain Loewner Models. SIAM J. Sci. Comput. 39(5) (2017) - [i15]Caleb C. Magruder, Serkan Gugercin, Christopher A. Beattie:
Linear time-periodic dynamical systems: An H2 analysis and a model reduction framework. CoRR abs/1706.03248 (2017) - [i14]Andrea Carracedo Rodriguez, Serkan Gugercin, Jeff Borggaard:
Interpolatory Model Reduction of Parameterized Bilinear Dynamical Systems. CoRR abs/1712.07308 (2017) - 2016
- [j21]Zlatko Drmac, Serkan Gugercin:
A New Selection Operator for the Discrete Empirical Interpolation Method - Improved A Priori Error Bound and Extensions. SIAM J. Sci. Comput. 38(2) (2016) - [j20]Saifon Chaturantabut, Christopher A. Beattie, Serkan Gugercin:
Structure-Preserving Model Reduction for Nonlinear Port-Hamiltonian Systems. SIAM J. Sci. Comput. 38(5) (2016) - [c21]Jeff Borggaard, Serkan Gugercin, Lizette Zietsman:
Feedback stabilization of fluids using reduced-order models for control and compensator design. CDC 2016: 7579-7585 - [i13]Alessandro Castagnotto, Christopher Beattie, Serkan Gugercin:
Interpolatory methods for H∞ model reduction of multi-input/multi-output systems. CoRR abs/1610.01039 (2016) - [i12]Christopher A. Beattie, Serkan Gugercin, Volker Mehrmann:
Model Reduction for Large-scale Dynamical Systems with Inhomogeneous Initial Conditions. CoRR abs/1610.03262 (2016) - [i11]Philipp Schulze, Benjamin Unger, Christopher A. Beattie, Serkan Gugercin:
Data-driven Structured Realization. CoRR abs/1611.02072 (2016) - 2015
- [j19]Tobias Breiten, Christopher A. Beattie, Serkan Gugercin:
Near-optimal frequency-weighted interpolatory model reduction. Syst. Control. Lett. 78: 8-18 (2015) - [j18]Garret M. Flagg, Serkan Gugercin:
Multipoint Volterra Series Interpolation and H2 Optimal Model Reduction of Bilinear Systems. SIAM J. Matrix Anal. Appl. 36(2): 549-579 (2015) - [j17]Peter Benner, Serkan Gugercin, Karen Willcox:
A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems. SIAM Rev. 57(4): 483-531 (2015) - [j16]Zlatko Drmac, Serkan Gugercin, Christopher A. Beattie:
Quadrature-Based Vector Fitting for Discretized H2 Approximation. SIAM J. Sci. Comput. 37(2) (2015) - [j15]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) - [j14]Zlatko Drmac, Serkan Gugercin, Christopher Beattie:
Vector Fitting for Matrix-valued Rational Approximation. SIAM J. Sci. Comput. 37(5) (2015) - [i10]Zlatko Drmac, Serkan Gugercin, Christopher A. Beattie:
Vector Fitting for Matrix-valued Rational Approximation. CoRR abs/1503.00411 (2015) - [i9]Zlatko Drmac, Serkan Gugercin:
A New Selection Operator for the Discrete Empirical Interpolation Method - improved a priori error bound and extensions. CoRR abs/1505.00370 (2015) - 2014
- [i8]Zlatko Drmac, Serkan Gugercin, Christopher A. Beattie:
Quadrature-Based Vector Fitting: Implications For H2 System Approximation. CoRR abs/1403.4655 (2014) - [i7]Jeff Borggaard, Serkan Gugercin:
Model Reduction for DAEs with an Application to Flow Control. CoRR abs/1406.1253 (2014) - [i6]Christopher A. Beattie, Serkan Gugercin:
Model Reduction by Rational Interpolation. CoRR abs/1409.2140 (2014) - 2013
- [j13]Branimir Anic, Christopher A. Beattie, Serkan Gugercin, Athanasios C. Antoulas:
Interpolatory weighted-H2H2 model reduction. Autom. 49(5): 1275-1280 (2013) - [j12]Garret M. Flagg, Christopher A. Beattie, Serkan Gugercin:
Interpolatory H∞H∞ model reduction. Syst. Control. Lett. 62(7): 567-574 (2013) - [j11]Serkan Gugercin, Tatjana Stykel, Sarah Wyatt:
Model Reduction of Descriptor Systems by Interpolatory Projection Methods. SIAM J. Sci. Comput. 35(5) (2013) - [i5]Serkan Gugercin, Tatjana Stykel, Sarah Wyatt:
Model Reduction of Descriptor Systems by Interpolatory Projection Methods. CoRR abs/1301.4524 (2013) - [i4]Tobias Breiten, Christopher A. Beattie, Serkan Gugercin:
Near-optimal Frequency-weighted Interpolatory Model Reduction. CoRR abs/1309.0136 (2013) - [i3]Garret M. Flagg, Serkan Gugercin:
Multipoint Volterra Series Interpolation and H2 Optimal Model Reduction of Bilinear Systems. CoRR abs/1312.2627 (2013) - 2012
- [j10]Serkan Gugercin, Rostyslav V. Polyuga, Christopher A. Beattie, Arjan van der Schaft:
Structure-preserving tangential interpolation for model reduction of port-Hamiltonian systems. Autom. 48(9): 1963-1974 (2012) - [j9]Garret M. Flagg, Christopher A. Beattie, Serkan Gugercin:
Convergence of the Iterative Rational Krylov Algorithm. Syst. Control. Lett. 61(6): 688-691 (2012) - [j8]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) - [c20]Jeff Borggaard, Eugene M. Cliff, Serkan Gugercin:
Model reduction for indoor-air behavior in control design for energy-efficient buildings. ACC 2012: 2283-2288 - [c19]Christopher A. Beattie, Serkan Gugercin:
Realization-independent ℌ2-approximation. CDC 2012: 4953-4958 - [i2]Branimir Anic, Christopher A. Beattie, Serkan Gugercin, Athanasios C. Antoulas:
Interpolatory Weighted-H2 Model Reduction. CoRR abs/1201.2592 (2012) - [i1]Garret M. Flagg, Serkan Gugercin:
On the ADI method for the Sylvester Equation and the optimal-$\mathcal{H}_2$ points. CoRR abs/1201.4779 (2012) - 2011
- [j7]Ulrike Baur, Christopher A. Beattie, Peter Benner, Serkan Gugercin:
Interpolatory Projection Methods for Parameterized Model Reduction. SIAM J. Sci. Comput. 33(5): 2489-2518 (2011) - [j6]Christopher A. Beattie, Zlatko Drmac, Serkan Gugercin:
A note on shifted Hessenberg systems and frequency response computation. ACM Trans. Math. Softw. 38(2): 12:1-12:16 (2011) - [c18]Christopher A. Beattie, Serkan Gugercin:
Structure-preserving model reduction for nonlinear port-Hamiltonian systems. CDC/ECC 2011: 6564-6569 - 2010
- [c17]Garret M. Flagg, Serkan Gugercin, Christopher A. Beattie:
An interpolation-based approach to ℋ∞ model reduction of dynamical systems. CDC 2010: 6791-6796 - [c16]Caleb Magruder, Christopher A. Beattie, Serkan Gugercin:
Rational Krylov methods for optimal ℒ2 model reduction. CDC 2010: 6797-6802
2000 – 2009
- 2009
- [j5]Christopher A. Beattie, Serkan Gugercin:
Interpolatory projection methods for structure-preserving model reduction. Syst. Control. Lett. 58(3): 225-232 (2009) - [c15]Serkan Gugercin, Rostyslav V. Polyuga, Christopher A. Beattie, Arjan van der Schaft:
Interpolation-based H2 model reduction for port-Hamiltonian systems. CDC 2009: 5362-5369 - [c14]Christopher A. Beattie, Serkan Gugercin:
A trust region method for optimal H2 model reduction. CDC 2009: 5370-5375 - 2008
- [j4]Serkan Gugercin, Karen Willcox:
Krylov projection framework for Fourier model reduction. Autom. 44(1): 209-215 (2008) - [j3]Serkan Gugercin, Athanasios C. Antoulas, Christopher A. Beattie:
H2 Model Reduction for Large-Scale Linear Dynamical Systems. SIAM J. Matrix Anal. Appl. 30(2): 609-638 (2008) - [c13]Christopher A. Beattie, Serkan Gugercin:
Interpolation theory for structure-preserving model reduction. CDC 2008: 4204-4208 - 2007
- [c12]Christopher A. Beattie, Serkan Gugercin:
Krylov-based minimization for optimal H2 model reduction. CDC 2007: 4385-4390 - 2006
- [c11]Christopher A. Beattie, Serkan Gugercin:
Inexact Solves in Krylov-based Model Reduction. CDC 2006: 3405-3411 - [c10]Christopher A. Beattie, Jeff Borggaard, Serkan Gugercin, Traian Iliescu:
A Domain Decomposition Approach to POD. CDC 2006: 6750-6756 - 2005
- [c9]Christopher A. Beattie, Serkan Gugercin:
Krylov-based model reduction of second-order systems with proportional damping. CDC/ECC 2005: 2278-2283 - [c8]Serkan Gugercin:
An iterative SVD-Krylov based method for model reduction of large-scale dynamical systems. CDC/ECC 2005: 5905-5910 - 2004
- [c7]Serkan Gugercin, Athanasios C. Antoulas, Christopher A. Beattie, Eduardo Gildin:
Krylov-based controller reduction for large-scale systems. CDC 2004: 3074-3077 - 2003
- [j2]Serkan Gugercin, Danny C. Sorensen, Athanasios C. Antoulas:
A Modified Low-Rank Smith Method for Large-Scale Lyapunov Equations. Numer. Algorithms 32(1): 27-55 (2003) - [j1]Serkan Gugercin, Athanasios C. Antoulas, H. P. Zhang:
An approach to identification for robust control. IEEE Trans. Autom. Control. 48(6): 1109-1115 (2003) - [c6]Serkan Gugercin, Athanasios C. Antoulas:
An H2 error expression for the Lanczos procedure. CDC 2003: 1869-1872 - [c5]Serkan Gugercin, Athanasios C. Antoulas:
A time-limited balanced reduction method. CDC 2003: 5250-5253 - [c4]Serkan Gugercin, Athanasios C. Antoulas:
A survey of balancing methods for model reduction. ECC 2003: 968-973 - 2002
- [c3]Athanasios C. Antoulas, Serkan Gugercin:
A new approach to model reduction which preserves stability and passivity: an overview. CDC 2002: 2544-2545 - 2001
- [c2]Serkan Gugercin, Athanasios C. Antoulas, Nazareth Bedrossian:
Approximation of the International Space Station 1R and 12A models. CDC 2001: 1515-1516 - 2000
- [c1]Serkan Gugercin, Athanasios C. Antoulas:
A comparative study of 7 algorithms for model reduction. CDC 2000: 2367-2372
Coauthor Index
Christopher A. Beattie
aka: Christopher Beattie
aka: Christopher Beattie
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