CM2023: 21ST COPPER MOUNTAIN CONFERENCE ON MULTIGRID METHODS

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Abu-Labdeh, Razan	Monolithic Multigrid Preconditioners for High-Order Discretizations of the Navier-Stokes Equations
Adler, James	Nested Iteration and Nonlinear Methods for Liquid Crystal Shape Optimization Applications Variational modeling of fluid in poroelastic medium
Alexandersen, Joe	Towards fast topology optimisation of transient problems: parallel space-time multigrid
Ali, Ahsan	Algebraic multigrid methods for non-symmetric problems
Almgren, Ann	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Alzuhairy, Sumaya	Multilevel methods for optimal control of elliptic equations with stochastic coefficients discretized using stochastic collocation
Andrei, Anca	Nested Iteration and Nonlinear Methods for Liquid Crystal Shape Optimization Applications
Andrej, Julian	Scalable solvers for multi-ion transport in electrochemistry
Ang, Andersen	MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
Anzt, Hartwig	Distributed Preconditioning for Cardiac Simulations on modern GPUs using BDDC
Atherton, Timothy	Nested Iteration and Nonlinear Methods for Liquid Crystal Shape Optimization Applications
B
Badger, Jacob	Scalable DPG multigrid solver with applications in wave propagation
Baelmans, Martine	A Two-phases Hybrid Method for Modelling Neutral Particles in the Plasma Edge of a Fusion Device
Beck, Victor	Scalable solvers for multi-ion transport in electrochemistry
Betteridge, Jack	Hybridised multigrid for compatible finite element discretisations in climate and weather prediction
Bodner, Benjamin Jacob	On Applying AMG Perspectives to Graph Neural Networks for Image Semantic Segmentation.
Boginski, Vladimir	Potential energy principles in networked systems and their connections to optimization problems on graphs Cascade Prediction in Networks Via Euclidean Embedding
Bolten, Matthias	Parameterized Runge-Kutta Integrators on Coarse Levels in Multigrid Reduction in Time Discrete Event-Handling for Spectral Deferred Corrections Compatible Relaxation and Block Smoothers for AMG
Bonilla, Jesus	Towards a scalable fully-implicit VMS formulation for Low Mach compressible visco-resistive MHD for application to MCF in Tokamak relevant geometries Block Preconditioning for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Bouillon, Arne	A Multilevel Formulation of EKI and EKS Analysis of ParaDiag and ParaOpt for time-parallel linear optimal control
Brannick, James	Compatible Relaxation and Block Smoothers for AMG
Brannick, James J.	Algebraic multigrid methods for non-symmetric problems
Bui, Duc Quang	Optimized Schwarz Method in Time for Transport Control
C
Carson, Erin	Efficient Hybrid Smoothers in AMG and GMRES: Neumann Proxies and Gershgorin's Circle Theorem
Chang, Kai	Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches
Chaudet-Dumas, Bastien	Optimizing the Space-Time Multigrid Algorithm with Block-Jacobi Smoother
Chen, Zhangxin	History Matching Reservoir Models With Many Objective Bayesian Optimization
Claus, Lisa	Compatible Relaxation and Block Smoothers for AMG
Cojean, Terry	Distributed Preconditioning for Cardiac Simulations on modern GPUs using BDDC
Condon, Laura E.	Performance evaluation of a continental-scale, integrated hydrologic model: adventures of a hydrologist in computer science
Cotter, Colin	Hybridised multigrid for compatible finite element discretisations in climate and weather prediction
Crockatt, Michael	A multigrid method for generalized extended magnetohydrodynamics Towards a scalable fully-implicit VMS formulation for Low Mach compressible visco-resistive MHD for application to MCF in Tokamak relevant geometries
Cyr, Eric C.	Torchbraid - a framework for layer-parallel training A 2-Level Domain Decomposition Preconditioner for KKT Systems with Heat-Equation Constraints Time-Parallel Multigrid Preconditioning for KKT Systems Arising in Constrained Optimization
D
D'Ambra, Pasqua	Efficient Hybrid Smoothers in AMG and GMRES: Neumann Proxies and Gershgorin's Circle Theorem
De Sterck, Hans	MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
De Sterck, Hans	Multigrid reduction-in-time for linear acoustics
Dekeyser, Wouter	A Two-phases Hybrid Method for Modelling Neutral Particles in the Plasma Edge of a Fusion Device
Delourme, Bérangère	Optimized Schwarz Method in Time for Transport Control
Demkowicz, Leszek	Scalable DPG multigrid solver with applications in wave propagation
Draganescu, Andrei	Multilevel methods for optimal control of elliptic equations with stochastic coefficients discretized using stochastic collocation
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Egger, Herbert	Multigrid in Time for Time-Periodic Parabolic Evolution Problems
Eliasof, Moshe	On Applying AMG Perspectives to Graph Neural Networks for Image Semantic Segmentation.
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Fairbanks, Hillary	Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Markov Chain Monte Carlo
Falgout, Robert D.	Algebraic multigrid methods for non-symmetric problems Multigrid reduction-in-time for linear acoustics Toward a multilevel method for the Helmholtz equation Improving AMG Strength of Connection Compatible Relaxation and Block Smoothers for AMG
Fare, Clyde	History Matching Reservoir Models With Many Objective Bayesian Optimization
Farrell, Patrick	Monolithic Multigrid Preconditioners for High-Order Discretizations of the Navier-Stokes Equations
Fedeli, Luca	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Formenti, Arianna	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Fujii, Akihiro	Parameterized Runge-Kutta Integrators on Coarse Levels in Multigrid Reduction in Time
Fung, Frederick	A Remark on Inter-mesh Transfer Operators of V-scheme Multigrid Method for Shrinking Meshes in One-Dimension
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Gander, Martin Jakob	Optimizing the Space-Time Multigrid Algorithm with Block-Jacobi Smoother
Gangl, Peter	Parallel Space-Time Finite Element Method for the Eddy Current Problem in Moving Domains
Gao, Xinfeng	Accelerating the Maximum Likelihood Ensemble Smoother by Multigrid-in-Time for Data Assimilation
Garten, Marco	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Geremew, Wondi	Cascade Prediction in Networks Via Euclidean Embedding
Gibson, Thomas	Hybridised multigrid for compatible finite element discretisations in climate and weather prediction
Gobrial, Mario	Parallel Space-Time Finite Element Method for the Eddy Current Problem in Moving Domains
Goebel, Fritz	Distributed Preconditioning for Cardiac Simulations on modern GPUs using BDDC
Goswami, Somdatta	On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations
Gott, Kevin	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Gratton, Serge	Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training
Gregory, Thomas	A novel solver technique for anisotropic heat flux in plasma modelling using AIR
Griffith, Matthew	Hybridised multigrid for compatible finite element discretisations in climate and weather prediction
Groenewald, Roelof	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Grote, David	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Guzik, Stephen	Accelerating the Maximum Likelihood Ensemble Smoother by Multigrid-in-Time for Data Assimilation
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Hahne, Jens	Torchbraid - a framework for layer-parallel training
Halpern, Laurence	Optimized Schwarz Method in Time for Transport Control
Harper, Graham	Data-Driven Approaches for Patch-Based Multigrid Smoothers
Haut, Terry	Multimodel, Multiscale Parallel-in-Time for Kinetic Plasmas
He, Yunhui	Data-driven Multigrid methods based on local Fourier analysis
Hirstoaga, Sever	Efficacy of a parareal algorithm for solving highly oscillatory Vlasov-Poisson systems
Hittinger, Jeffrey	Multimodel, Multiscale Parallel-in-Time for Kinetic Plasmas
Howle, Victoria	Preconditioning for implicit Runge-Kutta methods for hyperbolic pde problems
Hu, Jonathan	Block Preconditioning for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Hu, Xiaozhe	Variational modeling of fluid in poroelastic medium
Huebl, Axel	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Hurst, Christopher	Accelerating the Maximum Likelihood Ensemble Smoother by Multigrid-in-Time for Data Assimilation
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Iliev, Oleg	Numerical study of efficient preconditioners for solving Stokes and Stokes-Brinkman problems in complicated geometries
Ingelaere, Toon	A Multilevel Formulation of EKI and EKS
J
Jambunathan, Revathi	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Jordan, Kirk E	History Matching Reservoir Models With Many Objective Bayesian Optimization Emerging Architectures Will Be Heterogeneous: What are the Challenges and Opportunities of these Future Architectures
K
Kahana, Adar	A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations Preconditioning for Large Scale Systems based on the HINTS
Kahl, Karsten	Discrete Fourier analysis -- A structural approach with applications to local Fourier analysis
Kahl, Karsten	MGiaD: Multigrid in all dimensions. Efficiency and robustness of convolutional neural networks by weight-sharing and coarsening in resolution and channel dimensions
Karniadakis, George Em	A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations Preconditioning for Large Scale Systems based on the HINTS
Kirby, Robert	Irksome: Automated Runge-Kutta methods and monolithic multigrid for time-stepping PDE Monolithic Multigrid Preconditioners for High-Order Discretizations of the Navier-Stokes Equations
Kirshtein, Arkadz	Variational modeling of fluid in poroelastic medium
Klein, Christoph	Preconditioning Sparse Matrices with Alternating and Multiplicative Operator Splittings
Koellermeier, Julian	A Two-phases Hybrid Method for Modelling Neutral Particles in the Plasma Edge of a Fusion Device
Kohl, Nils	Multigrid methods using Block Floating Point Arithmetic
Kopanicakova, Alena	Preconditioning for Large Scale Systems based on the HINTS Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training
Kothari, Hardik	A multigrid method for solving variational inequalities
Krause, Rolf	A multigrid method for solving variational inequalities
Krzysik, Oliver A.	Algebraic multigrid methods for non-symmetric problems Multigrid reduction-in-time for linear acoustics
Kumar, Prabhat	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Kwok, Félix	Paraopt algorithm and Runge-Kutta methods
Kwok, Félix	Optimized Schwarz Method in Time for Transport Control
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Langer, Ulrich	Multigrid in Time for Time-Periodic Parabolic Evolution Problems
Lecouvez, Matthieu	Toward a multilevel method for the Helmholtz equation
Lehe, Remi	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Li, Rui Peng	Multilevel-in-Width Training for Deep Neural Network Regression Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches Data-driven Multigrid methods based on local Fourier analysis
Long, Katharine	Preconditioning for implicit Runge-Kutta methods for hyperbolic pde problems
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MacLachlan, Scott	MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods Gradient-based optimization of sparse relaxation schemes Irksome: Automated Runge-Kutta methods and monolithic multigrid for time-stepping PDE Monolithic Multigrid Preconditioners for High-Order Discretizations of the Navier-Stokes Equations Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations Well-balanced aggregation for algebraic multigrid
Maes, Vince	A Two-phases Hybrid Method for Modelling Neutral Particles in the Plasma Edge of a Fusion Device
Mao, Christina	Multilevel-in-Width Training for Deep Neural Network Regression
Maxwell, Reed M.	Performance evaluation of a continental-scale, integrated hydrologic model: adventures of a hydrologist in computer science
McCoid, Conor	Visualization of simplicial intersections
McCormick, Stephen	Multigrid methods using Block Floating Point Arithmetic
Meerbergen, Karl	Analysis of ParaDiag and ParaOpt for time-parallel linear optimal control
Melvin, Thomas	Hybridised multigrid for compatible finite element discretisations in climate and weather prediction
Miller, Phil	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Mitchell, Wayne	Improving AMG Strength of Connection
Moore, Nicholas	Torchbraid - a framework for layer-parallel training
Mueller, Eike	Hybridised multigrid for compatible finite element discretisations in climate and weather prediction
Muravleva, Ekaterina	Numerical study of efficient preconditioners for solving Stokes and Stokes-Brinkman problems in complicated geometries
Myers, Andrew	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
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Nakajima, Kengo	Parameterized Runge-Kutta Integrators on Coarse Levels in Multigrid Reduction in Time Communication-Computation Overlapping in Parallel Multigrid Methods
Nguyen, Nam	Cascade Prediction in Networks Via Euclidean Embedding
Nikolaev, Alexander	Cascade Prediction in Networks Via Euclidean Embedding
Nytko, Nicolas	MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods Gradient-based optimization of sparse relaxation schemes Well-balanced aggregation for algebraic multigrid
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Ohm, Peter	Towards a scalable fully-implicit VMS formulation for Low Mach compressible visco-resistive MHD for application to MCF in Tokamak relevant geometries Block Preconditioning for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Olson, Luke	MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods Gradient-based optimization of sparse relaxation schemes Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations Well-balanced aggregation for algebraic multigrid
Osei-Kuffuor, Daniel	Improving AMG Strength of Connection
Oseledets, Ivan	Numerical study of efficient preconditioners for solving Stokes and Stokes-Brinkman problems in complicated geometries
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Pasiliao, Eduardo	Cascade Prediction in Networks Via Euclidean Embedding
Pathak, Jay	A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations
Pawlowski, Roger	Towards a scalable fully-implicit VMS formulation for Low Mach compressible visco-resistive MHD for application to MCF in Tokamak relevant geometries
Phillips, Edward	Towards a scalable fully-implicit VMS formulation for Low Mach compressible visco-resistive MHD for application to MCF in Tokamak relevant geometries
Pimanov, Vladislav	Numerical study of efficient preconditioners for solving Stokes and Stokes-Brinkman problems in complicated geometries
Pogozelskyte, Ausra	Optimizing the Space-Time Multigrid Algorithm with Block-Jacobi Smoother
Ponce, Colin	Multilevel-in-Width Training for Deep Neural Network Regression
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Ramet, Pierre	Toward a multilevel method for the Helmholtz equation
Ranade, Rishikesh	A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations
Rani, Aman	Preconditioning for implicit Runge-Kutta methods for hyperbolic pde problems
Richefort, Clément	Toward a multilevel method for the Helmholtz equation
Ricketson, Lee	Multimodel, Multiscale Parallel-in-Time for Kinetic Plasmas
Ridzal, Denis	Time-Parallel Multigrid Preconditioning for KKT Systems Arising in Constrained Optimization
Robinson, Allen	A multigrid method for generalized extended magnetohydrodynamics
Rottmann, Matthias	MGiaD: Multigrid in all dimensions. Efficiency and robustness of convolutional neural networks by weight-sharing and coarsening in resolution and channel dimensions
Roy, Thomas	Scalable solvers for multi-ion transport in electrochemistry
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Salomon, Julien	Paraopt algorithm and Runge-Kutta methods
Samaey, Giovanni	A Micro-Macro Markov Chain Monte Carlo Method with Applications in Molecular Dynamics A Multilevel Formulation of EKI and EKS A Two-phases Hybrid Method for Modelling Neutral Particles in the Plasma Edge of a Fusion Device Analysis of ParaDiag and ParaOpt for time-parallel linear optimal control
Samoil, Steven	History Matching Reservoir Models With Many Objective Bayesian Optimization
Sandberg, Ryan T.	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Schafelner, Andreas	Multigrid in Time for Time-Periodic Parabolic Evolution Problems
Schroder, Jacob	Torchbraid - a framework for layer-parallel training Generalizing Approximate Ideal Restriction (AIR) Algebraic Multigrid Algebraic multigrid methods for non-symmetric problems Multigrid reduction-in-time for linear acoustics
Semenov, Alexander	Cascade Prediction in Networks Via Euclidean Embedding
Shadid, John	Towards a scalable fully-implicit VMS formulation for Low Mach compressible visco-resistive MHD for application to MCF in Tokamak relevant geometries Block Preconditioning for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Shapoval, Olga	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Shen, Taoli	Compatible Relaxation and Block Smoothers for AMG
Siegel, Jonathan	Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev Spaces
Sinn, Alexander	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Sousedik, Bedrich	Multilevel methods for optimal control of elliptic equations with stochastic coefficients discretized using stochastic collocation
Southworth, Ben	Torchbraid - a framework for layer-parallel training Generalizing Approximate Ideal Restriction (AIR) Algebraic Multigrid Algebraic multigrid methods for non-symmetric problems A novel solver technique for anisotropic heat flux in plasma modelling using AIR
Speck, Robert	Discrete Event-Handling for Spectral Deferred Corrections
Steinbach, Olaf	Parallel Space-Time Finite Element Method for the Eddy Current Problem in Moving Domains
Strake, Julius	Discrete Event-Handling for Spectral Deferred Corrections
Strzodka, Robert	Preconditioning Sparse Matrices with Alternating and Multiplicative Operator Splittings
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Taghibakhshi, Ali	MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods Gradient-based optimization of sparse relaxation schemes Well-balanced aggregation for algebraic multigrid
Tamstorf, Rasmus	Multigrid methods using Block Floating Point Arithmetic
Tang, Qi	Algebraic multigrid methods for non-symmetric problems
Tang, Xian-Zhu	Algebraic multigrid methods for non-symmetric problems Towards a scalable fully-implicit VMS formulation for Low Mach compressible visco-resistive MHD for application to MCF in Tokamak relevant geometries A novel solver technique for anisotropic heat flux in plasma modelling using AIR
Thevenet, Maxence	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Thomas, Stephen	Efficient Hybrid Smoothers in AMG and GMRES: Neumann Proxies and Gershgorin's Circle Theorem
Tijerina-Kreuzer, Danielle	Performance evaluation of a continental-scale, integrated hydrologic model: adventures of a hydrologist in computer science
Tognon, D. Norbert	Paraopt algorithm and Runge-Kutta methods
Toint, Philippe	Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training
Tranquilli, Paul	Multimodel, Multiscale Parallel-in-Time for Kinetic Plasmas
Treister, Eran	On Applying AMG Perspectives to Graph Neural Networks for Image Semantic Segmentation.
Tuminaro, Raymond	A multigrid method for generalized extended magnetohydrodynamics Data-Driven Approaches for Patch-Based Multigrid Smoothers Block Preconditioning for Magnetic Confinement Fusion Relevant Resistive MHD Simulations Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations
Turkel, Eli	A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods
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Vacek, Petr	Efficient Hybrid Smoothers in AMG and GMRES: Neumann Proxies and Gershgorin's Circle Theorem
van Betteray, Antonia	MGiaD: Multigrid in all dimensions. Efficiency and robustness of convolutional neural networks by weight-sharing and coarsening in resolution and channel dimensions
Vandecasteele, Hannes	A Micro-Macro Markov Chain Monte Carlo Method with Applications in Molecular Dynamics
Vargas, David	A general framework for deriving coarse grid operators for Multigrid Reduction in Time
Vassilevski, Panayot	Multilevel-in-Width Training for Deep Neural Network Regression Matrix-based Redistribution for Improved Coarse Level Scaling in Multilevel Markov Chain Monte Carlo
Vavasis, Stephen	MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
Vay, Jean-Luc	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Vincenti, Henri	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Voronin, Alexey	Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations
Vuchkov, Radoslav	Time-Parallel Multigrid Preconditioning for KKT Systems Arising in Constrained Optimization
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West, Benjamin D.	Performance evaluation of a continental-scale, integrated hydrologic model: adventures of a hydrologist in computer science
West, Matthew	MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods Gradient-based optimization of sparse relaxation schemes Well-balanced aggregation for algebraic multigrid
Wimmer, Golo	A novel solver technique for anisotropic heat flux in plasma modelling using AIR
Wimmer, Lisa	Discrete Event-Handling for Spectral Deferred Corrections
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Xi, Yuanzhe	Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches
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Yang, Chen	Performance evaluation of a continental-scale, integrated hydrologic model: adventures of a hydrologist in computer science
Yoda, Ryo	Parameterized Runge-Kutta Integrators on Coarse Levels in Multigrid Reduction in Time
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Zaim, Neil	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Zaman, Tareq	Well-balanced aggregation for algebraic multigrid
Zaman, Tareq Uz	MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods Gradient-based optimization of sparse relaxation schemes
Zhang, Enrui	A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations
Zhang, Junjie	Discrete Event-Handling for Spectral Deferred Corrections
Zhang, Weiqun	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Zikatanov, Ludmil	An algorithm for rational approximation of fractional powers of matrices via the reduced basis method
Zoni, Edoardo	Overview of the WarpX code: numerical methods and algorithms, software engineering strategies, and applications
Zulehner, Walter	Multigrid in Time for Time-Periodic Parabolic Evolution Problems
Zuo, Cheng	An algorithm for rational approximation of fractional powers of matrices via the reduced basis method

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