Adrian Sandu

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 80

Top Venues

CoRR

SIAM J. Sci. Comput.

J. Comput. Appl. Math.

J. Comput. Phys.

Publications

Amit N. Subrahmanya, Andrey A. Popov, Reid Gomillion, Adrian Sandu
Preserving Nonlinear Constraints in Variational Flow Filtering Data Assimilation. CoRR (2024)
Roland Pulch, Adrian Sandu
Rosenbrock-W methods for stochastic Galerkin systems. J. Comput. Appl. Math. 438 (2024)
Abhinab Bhattacharjee, Andrey A. Popov, Arash Sarshar, Adrian Sandu
Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach. CoRR (2024)
Kevin Schäfers, Michael Günther, Adrian Sandu
Symplectic multirate generalized additive Runge-Kutta methods for Hamiltonian systems. CoRR (2023)
Adwait Verulkar, Corina Sandu, Adrian Sandu, Daniel Dopico
Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities. CoRR (2023)
Ali Haisam Muhammad Rafid, Adrian Sandu
Adversarial Training Using Feedback Loops. CoRR (2023)
Ali Haisam Muhammad Rafid, Adrian Sandu
Neural Network Reduction with Guided Regularizers. CoRR (2023)
Andrey A. Popov, Adrian Sandu
Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders. Frontiers Appl. Math. Stat. 8 (2022)
Andrey A. Popov, Adrian Sandu
The Model Forest Ensemble Kalman Filter. CoRR (2022)
Steven Roberts, Andrey A. Popov, Arash Sarshar, Adrian Sandu
A Fast Time-Stepping Strategy for Dynamical Systems Equipped with a Surrogate Model. SIAM J. Sci. Comput. 44 (3) (2022)
Steven Roberts, Adrian Sandu
Eliminating Order Reduction on Linear, Time-Dependent ODEs with GARK Methods. CoRR (2022)
Dylan Park, Changhong Mou, Honghu Liu, Adrian Sandu, Traian Iliescu
A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations. CoRR (2022)
Steven R. Glandon, Mahesh Narayanamurthi, Adrian Sandu
Linearly Implicit Multistep Methods for Time Integration. SIAM J. Sci. Comput. 44 (6) (2022)
Severiano González-Pinto, Domingo Hernández-Abreu, Maria S. Pérez-Rodríguez, Arash Sarshar, Steven Roberts, Adrian Sandu
A unified formulation of splitting-based implicit time integration schemes. J. Comput. Phys. 448 (2022)
Andrey A. Popov, Arash Sarshar, Austin Chennault, Adrian Sandu
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction. CoRR (2022)
Jostein Barry-Straume, Arash Sarshar, Andrey A. Popov, Adrian Sandu
Physics-informed neural networks for PDE-constrained optimization and control. CoRR (2022)
Arash Sarshar, Steven Roberts, Adrian Sandu
Alternating directions implicit integration in a general linear method framework. J. Comput. Appl. Math. 387 (2021)
Amit N. Subrahmanya, Andrey A. Popov, Adrian Sandu
An Ensemble Variational Fokker-Planck Method for Data Assimilation. CoRR (2021)
Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
Machine learning based algorithms for uncertainty quantification in numerical weather prediction models. J. Comput. Sci. 50 (2021)
Michael Günther, Adrian Sandu, Antonella Zanna
Symplectic GARK methods for Hamiltonian systems. CoRR (2021)
Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya, Rachel Cooper, Anuj Karpatne, Adrian Sandu
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation. CoRR (2021)
Steven Roberts, John Loffeld, Arash Sarshar, Carol S. Woodward, Adrian Sandu
Implicit Multirate GARK Methods. J. Sci. Comput. 87 (1) (2021)
Andrey A. Popov, Changhong Mou, Adrian Sandu, Traian Iliescu
A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. SIAM J. Sci. Comput. 43 (2) (2021)
Paul Tranquilli, Ross Glandon, Adrian Sandu
Subspace adaptivity in Rosenbrock-Krylov methods for the time integration of initial value problems. J. Comput. Appl. Math. 385 (2021)
Andrey A. Popov, Amit N. Subrahmanya, Adrian Sandu
A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter. CoRR (2021)
Michael Günther, Adrian Sandu
Multirate Linearly-Implicit GARK Schemes. CoRR (2021)
Rachel Cooper, Andrey A. Popov, Adrian Sandu
Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder. CoRR (2021)
Adrian Sandu, Vladimir Z. Tomov, Lenka Cervená, Tzanio V. Kolev
Conservative High-Order Time Integration for Lagrangian Hydrodynamics. SIAM J. Sci. Comput. 43 (1) (2021)
Andrey A. Popov, Adrian Sandu
Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders. CoRR (2021)
Severiano González-Pinto, Domingo Hernández-Abreu, Maria S. Pérez-Rodríguez, Arash Sarshar, Steven Roberts, Adrian Sandu
A unified formulation of splitting-based implicit time integration schemes. CoRR (2021)
Christoph Hachtel, Andreas Bartel, Michael Günther, Adrian Sandu
Multirate implicit Euler schemes for a class of differential-algebraic equations of index-1. J. Comput. Appl. Math. 387 (2021)
Steven Roberts, Arash Sarshar, Adrian Sandu
Coupled Multirate Infinitesimal GARK Schemes for Stiff Systems with Multiple Time Scales. SIAM J. Sci. Comput. 42 (3) (2020)
Ross Glandon, Mahesh Narayanamurthi, Adrian Sandu
Linearly Implicit Multistep Methods for Time Integration. CoRR (2020)
Adrian Sandu, Michael Günther, Steven Roberts
Linearly implicit GARK schemes. CoRR (2020)
Andrey A. Popov, Adrian Sandu
An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence. CoRR (2020)
Adrian Sandu
Convergence Results for Implicit-Explicit General Linear Methods. CoRR (2020)
Steven Roberts, Arash Sarshar, Adrian Sandu
Parallel implicit-explicit general linear methods. CoRR (2020)
Andrey A. Popov, Adrian Sandu, Elias David Niño Ruiz, Geir Evensen
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. CoRR (2020)
Andrey A. Popov, Changhong Mou, Traian Iliescu, Adrian Sandu
A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. CoRR (2020)
Mahesh Narayanamurthi, Ulrich Römer, Adrian Sandu
Goal-oriented a posteriori estimation of numerical errors in the solution of multiphysics systems. CoRR (2020)
Steven Roberts, Andrey A. Popov, Arash Sarshar, Adrian Sandu
A fast time-stepping strategy for ODE systems equipped with a surrogate model. CoRR (2020)
Arash Sarshar, Steven Roberts, Adrian Sandu
Design of High-Order Decoupled Multirate GARK Schemes. SIAM J. Sci. Comput. 41 (2) (2019)
Arash Sarshar, Adrian Sandu
Alternating Directions Implicit Integration in a General Linear Method Framework. CoRR (2019)
Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition. J. Comput. Sci. 36 (2019)
Steven Roberts, Andrey A. Popov, Adrian Sandu
ODE Test Problems: a MATLAB suite of initial value problems. CoRR (2019)
Ross Glandon, Paul Tranquilli, Adrian Sandu
Biorthogonal Rosenbrock-Krylov time discretization methods. CoRR (2019)
Mahesh Narayanamurthi, Adrian Sandu
Efficient implementation of partitioned stiff exponential Runge-Kutta methods. CoRR (2019)
Mahesh Narayanamurthi, Paul Tranquilli, Adrian Sandu, Mayya Tokman
EPIRK-W and EPIRK-K Time Discretization Methods. J. Sci. Comput. 78 (1) (2019)
Paul Tranquilli, Ross Glandon, Adrian Sandu
Adaptive Krylov-Type Time Integration Methods. CoRR (2019)
Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. ICCS (4) (2019)
Adrian Sandu
A Class of Multirate Infinitesimal GARK Methods. SIAM J. Numer. Anal. 57 (5) (2019)
Elias David Niño Ruiz, Adrian Sandu
Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation. Clust. Comput. 22 (Suppl 1) (2019)
Mahesh Narayanamurthi, Adrian Sandu
Partitioned Exponential Methods for Coupled Multiphysics Systems. CoRR (2019)
Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu
Tuning Covariance Localization Using Machine Learning. ICCS (4) (2019)
Steven Roberts, John Loffeld, Arash Sarshar, Carol S. Woodward, Adrian Sandu
Implicit multirate GARK methods. CoRR (2019)
John C. Little, Erich T. Hester, Sondoss ElSawah, George M. Filz, Adrian Sandu, Cayelan C. Carey, Takuya Iwanaga, Anthony J. Jakeman
A tiered, system-of-systems modeling framework for resolving complex socio-environmental policy issues. Environ. Model. Softw. 112 (2019)
Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu
A Machine Learning Approach to Adaptive Covariance Localization. CoRR (2018)
Steven Roberts, Arash Sarshar, Adrian Sandu
Coupled Multirate Infinitesimal GARK Schemes for Stiff Systems with Multiple Time Scales. CoRR (2018)
Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. CoRR (2018)
Adrian Sandu
A Class of Multirate Infinitesimal GARK Methods. CoRR (2018)
Andrey A. Popov, Adrian Sandu
A Bayesian Approach to Multivariate Adaptive Localization in Ensemble-Based Data Assimilation with Time-Dependent Extensions. CoRR (2018)
Razvan Stefanescu, Azam S. Zavar Moosavi, Adrian Sandu
Parametric domain decomposition for accurate reduced order models: Applications of MP-LROM methodology. J. Comput. Appl. Math. 340 (2018)
Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation. SIAM J. Sci. Comput. 40 (2) (2018)
Arash Sarshar, Steven Roberts, Adrian Sandu
Design of High-Order Decoupled Multirate GARK Schemes. CoRR (2018)
Ulrich Römer, Mahesh Narayanamurthi, Adrian Sandu
Solving parameter estimation problems with discrete adjoint exponential integrators. Optim. Methods Softw. 33 (4-6) (2018)
Ulrich Römer, Mahesh Narayanamurthi, Adrian Sandu
Solving Parameter Estimation Problems with Discrete Adjoint Exponential Integrators. CoRR (2017)
Azam S. Zavar Moosavi, Razvan Stefanescu, Adrian Sandu
Multivariate predictions of local reduced-order-model errors and dimensions. CoRR (2017)
Paul Tranquilli, Ross Glandon, Arash Sarshar, Adrian Sandu
Analytical Jacobian-vector products for the matrix-free time integration of partial differential equations. J. Comput. Appl. Math. 310 (2017)
Ahmed Attia, Adrian Sandu
DATeS: A Highly-Extensible Data Assimilation Testing Suite. CoRR (2017)
Mahesh Narayanamurthi, Paul Tranquilli, Adrian Sandu, Mayya Tokman
EPIRK-W and EPIRK-K time discretization methods. CoRR (2017)
Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
and Huber Norms. SIAM J. Sci. Comput. 39 (3) (2017)
Ahmed Attia, Razvan Stefanescu, Adrian Sandu
The Reduced-Order Hybrid Monte Carlo Sampling Smoother. CoRR (2016)
Elias D. Niño, Adrian Sandu, Xinwei Deng
A Parallel Implementation of the Ensemble Kalman Filter Based on Modified Cholesky Decomposition. CoRR (2016)
Arash Sarshar, Paul Tranquilli, Brent Pickering, Andrew McCall, Adrian Sandu, Christopher J. Roy
A Numerical Investigation of Matrix-Free Implicit Time-Stepping Methods for Large CFD Simulations. CoRR (2016)
Hong Zhang, Adrian Sandu, Sébastien Blaise
High Order Implicit-explicit General Linear Methods with Optimized Stability Regions. SIAM J. Sci. Comput. 38 (3) (2016)
Ahmed Attia, Azam S. Zavar Moosavi, Adrian Sandu
Cluster Sampling Filters for Non-Gaussian Data Assimilation. CoRR (2016)
Vishwas Rao, Adrian Sandu
A time-parallel approach to strong-constraint four-dimensional variational data assimilation. J. Comput. Phys. 313 (2016)
Michael Günther, Adrian Sandu
Multirate generalized additive Runge Kutta methods. Numerische Mathematik 133 (3) (2016)
Adrian Sandu
Rosenbrock methods with an explicit first stage. Int. J. Comput. Math. 93 (6) (2016)
Elias David Niño Ruiz, Adrian Sandu
A derivative-free trust region framework for variational data assimilation. J. Comput. Appl. Math. 293 (2016)
Elias David Niño Ruiz, Adrian Sandu, Jeffrey L. Anderson
An efficient implementation of the ensemble Kalman filter based on an iterative Sherman-Morrison formula. Stat. Comput. 25 (3) (2015)
Aniruddha S. Gokhale, Salim Hariri, Adrian Sandu, Vaidy S. Sunderam
Introduction to HiPC Workshops 3 and 4. HiPC Workshops (2015)
Adrian Sandu, Michael Günther
A Generalized-Structure Approach to Additive Runge-Kutta Methods. SIAM J. Numer. Anal. 53 (1) (2015)
Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition. ScalA@SC (2015)
Vishwas Rao, Adrian Sandu
A Time-parallel Approach to Strong-constraint Four-dimensional Variational Data Assimilation. CoRR (2015)
Vishwas Rao, Adrian Sandu
Parallel Solution of DDDAS Variational Inference Problems. ICCS (2015)
Ahmed Attia, Vishwas Rao, Adrian Sandu
A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation. CoRR (2015)
Evgeniy Zharovsky, Adrian Sandu, Hong Zhang
A Class Of Implicit-Explicit Two-Step Runge-Kutta Methods. SIAM J. Numer. Anal. 53 (1) (2015)
Hong Zhang, Adrian Sandu, Paul Tranquilli
Application of approximate matrix factorization to high order linearly implicit Runge-Kutta methods. J. Comput. Appl. Math. 286 (2015)
Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
and Huber norms. CoRR (2015)
Vishwas Rao, Adrian Sandu
A Posteriori Error Estimates for the Solution of Variational Inverse Problems. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)
Razvan Stefanescu, Adrian Sandu, Ionel Michael Navon
POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation. J. Comput. Phys. 295 (2015)
Azam S. Zavar Moosavi, Razvan Stefanescu, Adrian Sandu
Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques. CoRR (2015)
Tae-Hyuk Ahn, Adrian Sandu, Layne T. Watson, Clifford A. Shaffer, Yang Cao, William T. Baumann
A Framework to Analyze the Performance of Load Balancing Schemes for Ensembles of Stochastic Simulations. Int. J. Parallel Program. 43 (4) (2015)
Paul Tranquilli, Adrian Sandu
Lightly Implicit Krylov-Exponential (LIKE) Methods. CoRR (2014)
Azam S. Zavar Moosavi, Adrian Sandu
Approximate Exponential Algorithms to Solve the Chemical Master Equation. CoRR (2014)
Hong Zhang, Adrian Sandu, Paul Tranquilli
Application of approximate matrix factorization to high order linearly implicit Runge-Kutta methods. CoRR (2014)
Paul Tranquilli, Adrian Sandu
Rosenbrock-Krylov Methods for Large Systems of Differential Equations. SIAM J. Sci. Comput. 36 (3) (2014)
Angelamaria Cardone, Zdzislaw Jackiewicz, Adrian Sandu, Hong Zhang
Extrapolation-based implicit-explicit general linear methods. Numer. Algorithms 65 (3) (2014)
Paul Tranquilli, Adrian Sandu
Exponential-Krylov methods for ordinary differential equations. J. Comput. Phys. 278 (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Adrian Sandu