Adrian Sandu - RankMe

199 papers A 1B 1Misc 26Journal 142Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Patankar predictor-corrector approach for positivity-preserving time integration. CoRR Kamila Nurkhametova, Reid Gomillion, Amit N. Subrahmanya, Adrian Sandu
2025	J	`jnl`	Ensemble based Closed-Loop Optimal Control using Physics-Informed Neural Networks. CoRR Jostein Barry-Straume, Adwait Verulkar, Arash Sarshar, Andrey A. Popov, Adrian Sandu
2025	J	`jnl`	Ensemble variational Fokker-Planck methods for data assimilation. J. Comput. Phys. Amit N. Subrahmanya, Andrey A. Popov, Adrian Sandu
2025	J	`jnl`	Multirate methods for ordinary differential equations. CoRR Michael Günther, Adrian Sandu
2024	J	`jnl`	Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach. CoRR Abhinab Bhattacharjee, Andrey A. Popov, Arash Sarshar, Adrian Sandu
2024	J	`jnl`	Preserving Nonlinear Constraints in Variational Flow Filtering Data Assimilation. CoRR Amit N. Subrahmanya, Andrey A. Popov, Reid Gomillion, Adrian Sandu
2024	J	`jnl`	Rosenbrock-W methods for stochastic Galerkin systems. J. Comput. Appl. Math. Roland Pulch, Adrian Sandu
2023	J	`jnl`	Adversarial Training Using Feedback Loops. CoRR Ali Haisam Muhammad Rafid, Adrian Sandu
2023	J	`jnl`	Neural Network Reduction with Guided Regularizers. CoRR Ali Haisam Muhammad Rafid, Adrian Sandu
2023	J	`jnl`	Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities. CoRR Adwait Verulkar, Corina Sandu, Adrian Sandu, Daniel Dopico
2023	J	`jnl`	Symplectic multirate generalized additive Runge-Kutta methods for Hamiltonian systems. CoRR Kevin Schäfers, Michael Günther, Adrian Sandu
2022	J	`jnl`	A Fast Time-Stepping Strategy for Dynamical Systems Equipped with a Surrogate Model. SIAM J. Sci. Comput. Steven B. Roberts, Andrey A. Popov, Arash Sarshar, Adrian Sandu
2022	J	`jnl`	A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction. CoRR Andrey A. Popov, Arash Sarshar, Austin Chennault, Adrian Sandu
2022	J	`jnl`	A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations. CoRR Dylan Park, Changhong Mou, Honghu Liu, Adrian Sandu, Traian Iliescu
2022	J	`jnl`	A unified formulation of splitting-based implicit time integration schemes. J. Comput. Phys. Severiano González-Pinto, Domingo Hernández-Abreu, Maria Soledad Pérez-Rodríguez, Arash Sarshar, Steven B. Roberts, Adrian Sandu
2022	J	`jnl`	Eliminating Order Reduction on Linear, Time-Dependent ODEs with GARK Methods. CoRR Steven B. Roberts, Adrian Sandu
2022	J	`jnl`	Linearly Implicit Multistep Methods for Time Integration. SIAM J. Sci. Comput. Steven R. Glandon, Mahesh Narayanamurthi, Adrian Sandu
2022	J	`jnl`	Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders. Frontiers Appl. Math. Stat. Andrey A. Popov, Adrian Sandu
2022	J	`jnl`	Physics-informed neural networks for PDE-constrained optimization and control. CoRR Jostein Barry-Straume, Arash Sarshar, Andrey A. Popov, Adrian Sandu
2022	J	`jnl`	The Model Forest Ensemble Kalman Filter. CoRR Andrey A. Popov, Adrian Sandu
2021	J	`jnl`	A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. SIAM J. Sci. Comput. Andrey A. Popov, Changhong Mou, Adrian Sandu, Traian Iliescu
2021	J	`jnl`	A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter. CoRR Andrey A. Popov, Amit N. Subrahmanya, Adrian Sandu
2021	J	`jnl`	A unified formulation of splitting-based implicit time integration schemes. CoRR Severiano González-Pinto, Domingo Hernández-Abreu, Maria Soledad Pérez-Rodríguez, Arash Sarshar, Steven B. Roberts, Adrian Sandu
2021	J	`jnl`	Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation. CoRR Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya, Rachel Cooper, Anuj Karpatne, Adrian Sandu
2021	J	`jnl`	Alternating directions implicit integration in a general linear method framework. J. Comput. Appl. Math. Arash Sarshar, Steven B. Roberts, Adrian Sandu
2021	J	`jnl`	An Ensemble Variational Fokker-Planck Method for Data Assimilation. CoRR Amit N. Subrahmanya, Andrey A. Popov, Adrian Sandu
2021	J	`jnl`	Conservative High-Order Time Integration for Lagrangian Hydrodynamics. SIAM J. Sci. Comput. Adrian Sandu, Vladimir Z. Tomov, Lenka Cervená, Tzanio V. Kolev
2021	J	`jnl`	Implicit Multirate GARK Methods. J. Sci. Comput. Steven B. Roberts, John Loffeld, Arash Sarshar, Carol S. Woodward, Adrian Sandu
2021	J	`jnl`	Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder. CoRR Rachel Cooper, Andrey A. Popov, Adrian Sandu
2021	J	`jnl`	Machine learning based algorithms for uncertainty quantification in numerical weather prediction models. J. Comput. Sci. Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
2021	J	`jnl`	Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders. CoRR Andrey A. Popov, Adrian Sandu
2021	J	`jnl`	Multirate Linearly-Implicit GARK Schemes. CoRR Michael Günther, Adrian Sandu
2021	J	`jnl`	Multirate implicit Euler schemes for a class of differential-algebraic equations of index-1. J. Comput. Appl. Math. Christoph Hachtel, Andreas Bartel, Michael Günther, Adrian Sandu
2021	J	`jnl`	Subspace adaptivity in Rosenbrock-Krylov methods for the time integration of initial value problems. J. Comput. Appl. Math. Paul Tranquilli, Ross Glandon, Adrian Sandu
2021	J	`jnl`	Symplectic GARK methods for Hamiltonian systems. CoRR Michael Günther, Adrian Sandu, Antonella Zanna
2020	J	`jnl`	A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. CoRR Andrey A. Popov, Changhong Mou, Traian Iliescu, Adrian Sandu
2020	J	`jnl`	A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. CoRR Andrey A. Popov, Adrian Sandu, Elias David Niño Ruiz, Geir Evensen
2020	J	`jnl`	A fast time-stepping strategy for ODE systems equipped with a surrogate model. CoRR Steven B. Roberts, Andrey A. Popov, Arash Sarshar, Adrian Sandu
2020	J	`jnl`	An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence. CoRR Andrey A. Popov, Adrian Sandu
2020	J	`jnl`	Convergence Results for Implicit-Explicit General Linear Methods. CoRR Adrian Sandu
2020	J	`jnl`	Coupled Multirate Infinitesimal GARK Schemes for Stiff Systems with Multiple Time Scales. SIAM J. Sci. Comput. Steven B. Roberts, Arash Sarshar, Adrian Sandu
2020	J	`jnl`	Goal-oriented a posteriori estimation of numerical errors in the solution of multiphysics systems. CoRR Mahesh Narayanamurthi, Ulrich Römer, Adrian Sandu
2020	J	`jnl`	Linearly Implicit Multistep Methods for Time Integration. CoRR Ross Glandon, Mahesh Narayanamurthi, Adrian Sandu
2020	J	`jnl`	Linearly implicit GARK schemes. CoRR Adrian Sandu, Michael Günther, Steven B. Roberts
2020	J	`jnl`	Parallel implicit-explicit general linear methods. CoRR Steven B. Roberts, Arash Sarshar, Adrian Sandu
2019	J	`jnl`	A Class of Multirate Infinitesimal GARK Methods. SIAM J. Numer. Anal. Adrian Sandu
2019	—	`conf`	A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. ICCS (4) Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
2019	J	`jnl`	A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition. J. Comput. Sci. Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
2019	J	`jnl`	A tiered, system-of-systems modeling framework for resolving complex socio-environmental policy issues. Environ. Model. Softw. John C. Little, Erich T. Hester, Sondoss Elsawah, George M. Filz, Adrian Sandu, Cayelan C. Carey, Takuya Iwanaga, Anthony J. Jakeman
2019	J	`jnl`	Adaptive Krylov-Type Time Integration Methods. CoRR Paul Tranquilli, Ross Glandon, Adrian Sandu
2019	J	`jnl`	Alternating Directions Implicit Integration in a General Linear Method Framework. CoRR Arash Sarshar, Adrian Sandu
2019	J	`jnl`	Biorthogonal Rosenbrock-Krylov time discretization methods. CoRR Ross Glandon, Paul Tranquilli, Adrian Sandu
2019	J	`jnl`	Design of High-Order Decoupled Multirate GARK Schemes. SIAM J. Sci. Comput. Arash Sarshar, Steven B. Roberts, Adrian Sandu
2019	J	`jnl`	EPIRK-W and EPIRK-K Time Discretization Methods. J. Sci. Comput. Mahesh Narayanamurthi, Paul Tranquilli, Adrian Sandu, Mayya Tokman
2019	J	`jnl`	Efficient implementation of partitioned stiff exponential Runge-Kutta methods. CoRR Mahesh Narayanamurthi, Adrian Sandu
2019	J	`jnl`	Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation. Clust. Comput. Elias David Niño Ruiz, Adrian Sandu
2019	J	`jnl`	Implicit multirate GARK methods. CoRR Steven B. Roberts, John Loffeld, Arash Sarshar, Carol S. Woodward, Adrian Sandu
2019	J	`jnl`	ODE Test Problems: a MATLAB suite of initial value problems. CoRR Steven B. Roberts, Andrey A. Popov, Adrian Sandu
2019	J	`jnl`	Partitioned Exponential Methods for Coupled Multiphysics Systems. CoRR Mahesh Narayanamurthi, Adrian Sandu
2019	—	`conf`	Tuning Covariance Localization Using Machine Learning. ICCS (4) Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu
2018	J	`jnl`	A Bayesian Approach to Multivariate Adaptive Localization in Ensemble-Based Data Assimilation with Time-Dependent Extensions. CoRR Andrey A. Popov, Adrian Sandu
2018	J	`jnl`	A Class of Multirate Infinitesimal GARK Methods. CoRR Adrian Sandu
2018	J	`jnl`	A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. CoRR Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
2018	J	`jnl`	A Machine Learning Approach to Adaptive Covariance Localization. CoRR Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu
2018	J	`jnl`	An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation. SIAM J. Sci. Comput. Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
2018	J	`jnl`	Coupled Multirate Infinitesimal GARK Schemes for Stiff Systems with Multiple Time Scales. CoRR Steven B. Roberts, Arash Sarshar, Adrian Sandu
2018	J	`jnl`	Design of High-Order Decoupled Multirate GARK Schemes. CoRR Arash Sarshar, Steven B. Roberts, Adrian Sandu
2018	J	`jnl`	Parametric domain decomposition for accurate reduced order models: Applications of MP-LROM methodology. J. Comput. Appl. Math. Razvan Stefanescu, Azam S. Zavar Moosavi, Adrian Sandu
2018	J	`jnl`	Solving parameter estimation problems with discrete adjoint exponential integrators. Optim. Methods Softw. Ulrich Römer, Mahesh Narayanamurthi, Adrian Sandu
2017	J	`jnl`	Analytical Jacobian-vector products for the matrix-free time integration of partial differential equations. J. Comput. Appl. Math. Paul Tranquilli, Ross Glandon, Arash Sarshar, Adrian Sandu
2017	J	`jnl`	DATeS: A Highly-Extensible Data Assimilation Testing Suite. CoRR Ahmed Attia, Adrian Sandu
2017	J	`jnl`	EPIRK-W and EPIRK-K time discretization methods. CoRR Mahesh Narayanamurthi, Paul Tranquilli, Adrian Sandu, Mayya Tokman
2017	J	`jnl`	Multivariate predictions of local reduced-order-model errors and dimensions. CoRR Azam S. Zavar Moosavi, Razvan Stefanescu, Adrian Sandu
2017	J	`jnl`	Robust Data Assimilation Using L SIAM J. Sci. Comput. Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
2017	J	`jnl`	Solving Parameter Estimation Problems with Discrete Adjoint Exponential Integrators. CoRR Ulrich Römer, Mahesh Narayanamurthi, Adrian Sandu
2016	J	`jnl`	A Numerical Investigation of Matrix-Free Implicit Time-Stepping Methods for Large CFD Simulations. CoRR Arash Sarshar, Paul Tranquilli, Brent Pickering, Andrew McCall, Adrian Sandu, Christopher J. Roy
2016	J	`jnl`	A Parallel Implementation of the Ensemble Kalman Filter Based on Modified Cholesky Decomposition. CoRR Elias D. Niño, Adrian Sandu, Xinwei Deng
2016	J	`jnl`	A derivative-free trust region framework for variational data assimilation. J. Comput. Appl. Math. Elias David Niño Ruiz, Adrian Sandu
2016	J	`jnl`	A time-parallel approach to strong-constraint four-dimensional variational data assimilation. J. Comput. Phys. Vishwas Rao, Adrian Sandu
2016	J	`jnl`	Cluster Sampling Filters for Non-Gaussian Data Assimilation. CoRR Ahmed Attia, Azam S. Zavar Moosavi, Adrian Sandu
2016	J	`jnl`	High Order Implicit-explicit General Linear Methods with Optimized Stability Regions. SIAM J. Sci. Comput. Hong Zhang, Adrian Sandu, Sébastien Blaise
2016	J	`jnl`	Multirate generalized additive Runge Kutta methods. Numerische Mathematik Michael Günther, Adrian Sandu
2016	J	`jnl`	Rosenbrock methods with an explicit first stage. Int. J. Comput. Math. Adrian Sandu
2016	J	`jnl`	The Reduced-Order Hybrid Monte Carlo Sampling Smoother. CoRR Ahmed Attia, Razvan Stefanescu, Adrian Sandu
2015	J	`jnl`	A Class Of Implicit-Explicit Two-Step Runge-Kutta Methods. SIAM J. Numer. Anal. Evgeniy Zharovsky, Adrian Sandu, Hong Zhang
2015	J	`jnl`	A Framework to Analyze the Performance of Load Balancing Schemes for Ensembles of Stochastic Simulations. Int. J. Parallel Program. Tae-Hyuk Ahn, Adrian Sandu, Layne T. Watson, Clifford A. Shaffer, Yang Cao, William T. Baumann
2015	J	`jnl`	A Generalized-Structure Approach to Additive Runge-Kutta Methods. SIAM J. Numer. Anal. Adrian Sandu, Michael Günther
2015	J	`jnl`	A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation. CoRR Ahmed Attia, Vishwas Rao, Adrian Sandu
2015	J	`jnl`	A Posteriori Error Estimates for the Solution of Variational Inverse Problems. SIAM/ASA J. Uncertain. Quantification Vishwas Rao, Adrian Sandu
2015	J	`jnl`	A Time-parallel Approach to Strong-constraint Four-dimensional Variational Data Assimilation. CoRR Vishwas Rao, Adrian Sandu
2015	—	`conf`	A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition. ScalA@SC Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
2015	J	`jnl`	An efficient implementation of the ensemble Kalman filter based on an iterative Sherman-Morrison formula. Stat. Comput. Elias David Niño Ruiz, Adrian Sandu, Jeffrey L. Anderson
2015	J	`jnl`	Application of approximate matrix factorization to high order linearly implicit Runge-Kutta methods. J. Comput. Appl. Math. Hong Zhang, Adrian Sandu, Paul Tranquilli
2015	—	`ch.`	Application of the Generalized Polynomial Chaos to the LQR Control Problem with Uncertain Parameters in the Formulation. Advanced Autonomous Vehicle Design for Severe Environments Corina Sandu, Emmanuel Blanchard, Adrian Sandu
2015	—	`ed.`	Dynamic Data-Driven Environmental Systems Science - First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers DyDESS Sai Ravela, Adrian Sandu
2015	J	`jnl`	Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques. CoRR Azam S. Zavar Moosavi, Razvan Stefanescu, Adrian Sandu
2015	—	`conf`	Introduction to HiPC Workshops 3 and 4. HiPC Workshops Aniruddha S. Gokhale, Salim Hariri, Adrian Sandu, Vaidy S. Sunderam
2015	J	`jnl`	POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation. J. Comput. Phys. Razvan Stefanescu, Adrian Sandu, Ionel Michael Navon
2015	Misc	`conf`	Parallel Solution of DDDAS Variational Inference Problems. ICCS Vishwas Rao, Adrian Sandu
2015	J	`jnl`	Robust data assimilation using L CoRR Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
2015	—	`ch.`	Treatment of Uncertainties in Multibody Dynamic Systems using a Generalized Polynomial Chaos Approach; Case Study on a Full Vehicle. Advanced Autonomous Vehicle Design for Severe Environments Corina Sandu, Lin Li, Adrian Sandu
2014	J	`jnl`	A Derivative-Free Trust Region Framework for Variational Data Assimilation. CoRR Elias D. Niño, Adrian Sandu
2014	Misc	`conf`	A Posteriori Error Estimates for DDDAS Inference Problems. ICCS Vishwas Rao, Adrian Sandu
2014	—	`conf`	A Sampling Approach for Four Dimensional Data Assimilation. DyDESS Ahmed Attia, Vishwas Rao, Adrian Sandu
2014	J	`jnl`	A Sampling Filter for Non-Gaussian Data Assimilation. CoRR Ahmed Attia, Adrian Sandu
2014	J	`jnl`	A new look at the chemical master equation. Numer. Algorithms Adrian Sandu
2014	J	`jnl`	An adjoint-based scalable algorithm for time-parallel integration. J. Comput. Sci. Vishwas Rao, Adrian Sandu
2014	J	`jnl`	An optimization framework to improve 4D-Var data assimilation system performance. J. Comput. Phys. Alexandru Cioaca, Adrian Sandu
2014	J	`jnl`	Application of approximate matrix factorization to high order linearly implicit Runge-Kutta methods. CoRR Hong Zhang, Adrian Sandu, Paul Tranquilli
2014	J	`jnl`	Approximate Exponential Algorithms to Solve the Chemical Master Equation. CoRR Azam S. Zavar Moosavi, Adrian Sandu
2014	J	`jnl`	Comparison of POD reduced order strategies for the nonlinear 2D Shallow Water Equations. CoRR Razvan Stefanescu, Adrian Sandu, Ionel Michael Navon
2014	J	`jnl`	Dynamic Response Optimization of Complex Multibody Systems in a Penalty Formulation using Adjoint Sensitivity. CoRR Yitao Zhu, Daniel Dopico, Corina Sandu, Adrian Sandu
2014	J	`jnl`	Efficient approximation of sparse Jacobians for time-implicit reduced order models. CoRR Razvan Stefanescu, Adrian Sandu
2014	J	`jnl`	Exponential-Krylov methods for ordinary differential equations. J. Comput. Phys. Paul Tranquilli, Adrian Sandu
2014	J	`jnl`	Extrapolation-based implicit-explicit general linear methods. Numer. Algorithms Angelamaria Cardone, Zdzislaw Jackiewicz, Adrian Sandu, Hong Zhang
2014	J	`jnl`	FATODE: A Library for Forward, Adjoint, and Tangent Linear Integration of ODEs. SIAM J. Sci. Comput. Hong Zhang, Adrian Sandu
2014	J	`jnl`	High Order Implicit-Explicit General Linear Methods with Optimized Stability Regions. CoRR Hong Zhang, Adrian Sandu, Sébastien Blaise
2014	J	`jnl`	Lightly Implicit Krylov-Exponential (LIKE) Methods. CoRR Paul Tranquilli, Adrian Sandu
2014	J	`jnl`	Low-rank approximations for computing observation impact in 4D-Var data assimilation. Comput. Math. Appl. Alexandru Cioaca, Adrian Sandu
2014	J	`jnl`	POD/DEIM Strategies for reduced data assimilation systems. CoRR Razvan Stefanescu, Adrian Sandu, Ionel Michael Navon
2014	J	`jnl`	Partitioned and Implicit-Explicit General Linear Methods for Ordinary Differential Equations. J. Sci. Comput. Hong Zhang, Adrian Sandu, Sébastien Blaise
2014	J	`jnl`	Rosenbrock-Krylov Methods for Large Systems of Differential Equations. SIAM J. Sci. Comput. Paul Tranquilli, Adrian Sandu
2014	J	`jnl`	Solving stochastic chemical kinetics by Metropolis Hastings sampling. CoRR Azam S. Zavar Moosavi, Paul Tranquilli, Adrian Sandu
2014	J	`jnl`	Space-time adaptive solution of inverse problems with the discrete adjoint method. J. Comput. Phys. Mihai Alexe, Adrian Sandu
2014	—	`conf`	Variational Data Assimilation Based on Derivative-Free Optimization. DyDESS Elias D. Niño, Adrian Sandu
2013	J	`jnl`	A Practical Method to Estimate Information Content in the Context of 4D-Var Data Assimilation. SIAM/ASA J. Uncertain. Quantification Kumaresh Singh, Adrian Sandu, M. Jardak, Kevin W. Bowman, Meemong Lee
2013	J	`jnl`	A class of generalized additive Runge-Kutta methods. CoRR Adrian Sandu, Michael Günther
2013	J	`jnl`	An Efficient Implementation of the Ensemble Kalman Filter Based on an Iterative Sherman-Morrison Formula CoRR Elias David Niño Ruiz, Adrian Sandu, Jeffrey L. Anderson
2013	J	`jnl`	An Optimization Framework to Improve 4D-Var Data Assimilation System Performance. CoRR Alexandru Cioaca, Adrian Sandu
2013	—	`conf`	CUDA acceleration of a matrix-free Rosenbrock-K method applied to the shallow water equations. ScalA@SC Paul Tranquilli, Ross Glandon, Adrian Sandu
2013	Misc	`conf`	Dynamic Sensor Network Configuration in InfoSymbiotic Systems Using Model Singular Vectors. ICCS Adrian Sandu, Alexandru Cioaca, Vishwas Rao
2013	J	`jnl`	Efficient methods for computing observation impact in 4D-Var data assimilation CoRR Alexandru Cioaca, Adrian Sandu, Eric de Sturler
2013	J	`jnl`	Extrapolated Multirate Methods for Differential Equations with Multiple Time Scales. J. Sci. Comput. Emil M. Constantinescu, Adrian Sandu
2013	J	`jnl`	Extrapolation-based implicit-explicit general linear methods CoRR Angelamaria Cardone, Zdzislaw Jackiewicz, Hong Zhang, Adrian Sandu
2013	J	`jnl`	Implicit Simulation Methods for Stochastic Chemical Kinetics CoRR Tae-Hyuk Ahn, Adrian Sandu, Xiaoying Han
2013	J	`jnl`	Implicit-explicit DIMSIM time stepping algorithms CoRR Hong Zhang, Adrian Sandu
2013	J	`jnl`	Low-rank Approximations for Computing Observation Impact in 4D-Var Data Assimilation. CoRR Alexandru Cioaca, Adrian Sandu
2013	J	`jnl`	Multirate generalized additive Runge Kutta methods. CoRR Michael Günther, Adrian Sandu
2013	—	`ch.`	Stability Analysis of the Matrix-Free Linearly Implicit Euler Method. Domain Decomposition Methods in Science and Engineering XX Adrian Sandu, Amik St.-Cyr
2012	Misc	`conf`	A Second-order Diagonally-Implicit-Explicit Multi-Stage Integration Method. ICCS Hong Zhang, Adrian Sandu
2012	Misc	`conf`	An Adjoint Based Implementation of the Parareal Algorithm. ICCS Vishwas Rao, Adrian Sandu
2012	Misc	`conf`	An Effcient Implementation of the Ensemble Kalman Filter Based on Iterative Sherman Morrison Formula. ICCS Elias D. Niño, Adrian Sandu, Jeffrey L. Anderson
2012	Misc	`conf`	Information Theoretic Metrics to Characterize Observations in Variational Data Assimilation. ICCS Kumaresh Singh, Adrian Sandu, M. Jardak, Meemong Lee, Kevin W. Bowman
2012	J	`jnl`	Second-order adjoints for solving PDE-constrained optimization problems. Optim. Methods Softw. Alexandru Cioaca, Mihai Alexe, Adrian Sandu
2012	J	`jnl`	Variational chemical data assimilation with approximate adjoints. Comput. Geosci. Kumaresh Singh, Adrian Sandu
2011	J	`jnl`	Automatic Generation of Multicore Chemical Kernels. IEEE Trans. Parallel Distributed Syst. John C. Linford, John Michalakes, Manish Vachharajani, Adrian Sandu
2011	—	`conf`	Efficient Computation of Observation Impact in 4D-Var Data Assimilation. WoCoUQ Alexandru Cioaca, Adrian Sandu, Eric de Sturler, Emil M. Constantinescu
2011	—	`conf`	FATODE: a library for forward, adjoint and tangent linear integration of stiff systems. SpringSim (HPC) Hong Zhang, Adrian Sandu
2011	—	`conf`	Fully implicit tau-leaping methods for the stochastic simulation of chemical kinetics. SpringSim (HPC) Tae-Hyuk Ahn, Adrian Sandu
2011	Misc	`conf`	Implicit Second Order Weak Taylor Tau-Leaping Methods for the Stochastic Simulation of Chemical Kinetics. ICCS Tae-Hyuk Ahn, Adrian Sandu
2011	Misc	`conf`	On the adaptive solution of space-time inverse problems with the adjoint method. ICCS Mihai Alexe, Adrian Sandu
2011	J	`jnl`	Scalable heterogeneous parallelism for atmospheric modeling and simulation. J. Supercomput. John C. Linford, Adrian Sandu
2010	—	`conf`	An efficient error control mechanism for the adaptive 'parareal' time discretization algorithm. SpringSim Bianca Lepsa, Adrian Sandu
2010	—	`conf`	Collocation least-squares polynomial chaos method. SpringSim Haiyan Cheng, Adrian Sandu
2010	—	`conf`	Development and acceleration of parallel chemical transport models. SpringSim Paul Eller, Kumaresh Singh, Adrian Sandu
2010	J	`jnl`	Extrapolated Implicit-Explicit Time Stepping. SIAM J. Sci. Comput. Emil M. Constantinescu, Adrian Sandu
2010	J	`jnl`	Forward, tangent linear, and adjoint Runge-Kutta methods for stiff chemical kinetic simulations. Int. J. Comput. Math. Adrian Sandu, Philipp Miehe
2010	—	`conf`	Obtaining and using second order derivative information in the solution of large scale inverse problems. SpringSim Mihai Alexe, Alexandru Cioaca, Adrian Sandu
2010	J	`jnl`	Optimal Explicit Strong-Stability-Preserving General Linear Methods. SIAM J. Sci. Comput. Emil M. Constantinescu, Adrian Sandu
2010	—	`conf`	Parallel stochastic simulations of budding yeast cell cycle: load balancing strategies and theoretical analysis. BCB Tae-Hyuk Ahn, Adrian Sandu
2009	B	`conf`	A comparison of programming models for multiprocessors with explicitly managed memory hierarchies. PPoPP Scott Schneider, Jae-Seung Yeom, Benjamin Rose, John C. Linford, Adrian Sandu, Dimitrios S. Nikolopoulos
2009	—	`conf`	Atmospheric and Oceanic Computational Science. ICCS (2) Adrian Sandu, Amik St.-Cyr, Katherine J. Evans
2009	—	`conf`	Chemical Data Assimilation with CMAQ: Continuous vs. Discrete Advection Adjoints. ICCS (2) Tianyi Gou, Kumaresh Singh, Adrian Sandu
2009	J	`jnl`	Efficient uncertainty quantification with the polynomial chaos method for stiff systems. Math. Comput. Simul. Haiyan Cheng, Adrian Sandu
2009	—	`conf`	Explicit Time Stepping Methods with High Stage Order and Monotonicity Properties. ICCS (2) Emil M. Constantinescu, Adrian Sandu
2009	J	`jnl`	Forward and adjoint sensitivity analysis with continuous explicit Runge-Kutta schemes. Appl. Math. Comput. Mihai Alexe, Adrian Sandu
2009	—	`conf`	Improving GEOS-Chem Model Tropospheric Ozone through Assimilation of Pseudo Tropospheric Emission Spectrometer Profile Retrievals. ICCS (2) Kumaresh Singh, Paul Eller, Adrian Sandu, Kevin W. Bowman, Dylan B. A. Jones, Meemong Lee
2009	A	`conf`	Multi-core acceleration of chemical kinetics for simulation and prediction. SC John C. Linford, John Michalakes, Manish Vachharajani, Adrian Sandu
2009	J	`jnl`	Multirate Explicit Adams Methods for Time Integration of Conservation Laws. J. Sci. Comput. Adrian Sandu, Emil M. Constantinescu
2009	J	`jnl`	On the discrete adjoints of adaptive time stepping algorithms. J. Comput. Appl. Math. Mihai Alexe, Adrian Sandu
2009	—	`conf`	Towards the construction of a standard adjoint GEOS-Chem model. SpringSim Kumaresh Singh, Paul Eller, Adrian Sandu, Daven Henze, Kevin W. Bowman, Monika Kopacz, Meemong Lee
2009	Misc	`conf`	Uncertainty apportionment for air quality forecast models. SAC Haiyan Cheng, Adrian Sandu
2009	J	`jnl`	Uncertainty quantification and apportionment in air quality models using the polynomial chaos method. Environ. Model. Softw. Haiyan Cheng, Adrian Sandu
2009	Misc	`conf`	Vector stream processing for effective application of heterogeneous parallelism. SAC John C. Linford, Adrian Sandu
2008	J	`jnl`	Discrete second order adjoints in atmospheric chemical transport modeling. J. Comput. Phys. Adrian Sandu, Lin Zhang
2008	—	`conf`	Optimizing large scale chemical transport models for multicore platforms. SpringSim John C. Linford, Adrian Sandu
2008	J	`jnl`	Predicting air quality: Improvements through advanced methods to integrate models and measurements. J. Comput. Phys. Gregory R. Carmichael, Adrian Sandu, Tianfeng Chai, Dacian N. Daescu, Emil M. Constantinescu, Youhua Tang
2007	—	`conf`	An investigation of discrete adjoints for flux-limited numerical schemes. ACM Southeast Regional Conference Mihai Alexe, Adrian Sandu
2007	Misc	`conf`	Data Assimilation in Multiscale Chemical Transport Models. International Conference on Computational Science (1) Lin Zhang, Adrian Sandu
2007	Misc	`conf`	Localized Ensemble Kalman Dynamic Data Assimilation for Atmospheric Chemistry. International Conference on Computational Science (1) Adrian Sandu, Emil M. Constantinescu, Gregory R. Carmichael, Tianfeng Chai, John H. Seinfeld, Dacian N. Daescu
2007	J	`jnl`	Multirate Timestepping Methods for Hyperbolic Conservation Laws. J. Sci. Comput. Emil M. Constantinescu, Adrian Sandu
2007	—	`conf`	Numerical study of uncertainty quantification techniques for implicit stiff systems. ACM Southeast Regional Conference Haiyan Cheng, Adrian Sandu
2007	—	`conf`	Performance of stabilized explicit time integration methods for parallel air quality models. SpringSim (2) Anurag Srivastava, John C. Linford, Adrian Sandu
2006	Misc	`conf`	Forward, Tangent Linear, and Adjoint Runge-Kutta Methods in KPP-2.2. International Conference on Computational Science (3) Philipp Miehe, Adrian Sandu
2006	Misc	`conf`	On the Properties of Runge-Kutta Discrete Adjoints. International Conference on Computational Science (4) Adrian Sandu
2006	Misc	`conf`	Targeted Observations for Atmospheric Chemistry and Transport Models. International Conference on Computational Science (1) Adrian Sandu
2005	Misc	`conf`	Analysis of Discrete Adjoints for Upwind Numerical Schemes. International Conference on Computational Science (2) Zheng Liu, Adrian Sandu
2005	Misc	`conf`	Ensemble-Based Data Assimilation for Atmospheric Chemical Transport Models. International Conference on Computational Science (2) Adrian Sandu, Emil M. Constantinescu, Wenyuan Liao, Gregory R. Carmichael, Tianfeng Chai, John H. Seinfeld, Dacian N. Daescu
2005	Misc	`conf`	On Adaptive Mesh Refinement for Atmospheric Pollution Models. International Conference on Computational Science (2) Emil M. Constantinescu, Adrian Sandu
2005	Misc	`conf`	Total Energy Singular Vectors for Atmospheric Chemical Transport Models. International Conference on Computational Science (2) Wenyuan Liao, Adrian Sandu
2004	Misc	`conf`	Adaptive resolution modeling of regional air quality. SAC Chaitanya Belwal, Adrian Sandu, Emil M. Constantinescu
2004	Misc	`conf`	Computational Aspects of Data Assimilation for Aerosol Dynamics. International Conference on Computational Science Adrian Sandu, Wenyuan Liao, Gregory R. Carmichael, Daven Henze, John H. Seinfeld, Tianfeng Chai, Dacian N. Daescu
2004	Misc	`conf`	Editorial message: special track on computational sciences. SAC Adrian Sandu
2003	Misc	`conf`	Computational Aspects of Chemical Data Assimilation into Atmospheric Models. International Conference on Computational Science Gregory R. Carmichael, Dacian N. Daescu, Adrian Sandu, Tianfeng Chai
2003	Misc	`conf`	Computational Sciences Track Editorial. SAC Adrian Sandu
2003	Misc	`conf`	Discretizing Aerosol Dynamics with B-Splines. SAC Adrian Sandu, Christian T. Borden
2001	—	`conf`	Parallel Molecular Dynamics on Scyld Clusters. PP John F. Duff, Phillip Merkey, Adrian Sandu
2000	J	`jnl`	Application of ADIFOR for air pollution model sensitivity studies. Environ. Model. Softw. Shan He, Gregory R. Carmichael, Adrian Sandu, Brian Hotchkiss, Valeriu Damian-Iordache
1997	J	`jnl`	Improved Quasi-Steady-State-Approximation Methods for Atmospheric Chemistry Integration. SIAM J. Sci. Comput. Laurent O. Jay, Adrian Sandu, Florian A. Potra, Gregory R. Carmichael