Adrian Sandu

Orcid: 0000-0002-5380-0103

According to our database1, Adrian Sandu authored at least 172 papers between 1997 and 2024.

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Bibliography

2024
Rosenbrock-W methods for stochastic Galerkin systems.
J. Comput. Appl. Math., March, 2024

Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach.
CoRR, 2024

2023
Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities.
CoRR, 2023

Adversarial Training Using Feedback Loops.
CoRR, 2023

Symplectic multirate generalized additive Runge-Kutta methods for Hamiltonian systems.
CoRR, 2023

Neural Network Reduction with Guided Regularizers.
CoRR, 2023

2022
A Fast Time-Stepping Strategy for Dynamical Systems Equipped with a Surrogate Model.
SIAM J. Sci. Comput., 2022

Linearly Implicit Multistep Methods for Time Integration.
SIAM J. Sci. Comput., 2022

A unified formulation of splitting-based implicit time integration schemes.
J. Comput. Phys., 2022

Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders.
Frontiers Appl. Math. Stat., 2022

A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations.
CoRR, 2022

The Model Forest Ensemble Kalman Filter.
CoRR, 2022

A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction.
CoRR, 2022

Physics-informed neural networks for PDE-constrained optimization and control.
CoRR, 2022

Eliminating Order Reduction on Linear, Time-Dependent ODEs with GARK Methods.
CoRR, 2022

2021
Conservative High-Order Time Integration for Lagrangian Hydrodynamics.
SIAM J. Sci. Comput., 2021

A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates.
SIAM J. Sci. Comput., 2021

Implicit Multirate GARK Methods.
J. Sci. Comput., 2021

Machine learning based algorithms for uncertainty quantification in numerical weather prediction models.
J. Comput. Sci., 2021

Subspace adaptivity in Rosenbrock-Krylov methods for the time integration of initial value problems.
J. Comput. Appl. Math., 2021

Alternating directions implicit integration in a general linear method framework.
J. Comput. Appl. Math., 2021

Multirate implicit Euler schemes for a class of differential-algebraic equations of index-1.
J. Comput. Appl. Math., 2021

An Ensemble Variational Fokker-Planck Method for Data Assimilation.
CoRR, 2021

Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation.
CoRR, 2021

A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter.
CoRR, 2021

Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder.
CoRR, 2021

Symplectic GARK methods for Hamiltonian systems.
CoRR, 2021

Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders.
CoRR, 2021

Multirate Linearly-Implicit GARK Schemes.
CoRR, 2021

2020
Coupled Multirate Infinitesimal GARK Schemes for Stiff Systems with Multiple Time Scales.
SIAM J. Sci. Comput., 2020

A fast time-stepping strategy for ODE systems equipped with a surrogate model.
CoRR, 2020

Linearly implicit GARK schemes.
CoRR, 2020

Convergence Results for Implicit-Explicit General Linear Methods.
CoRR, 2020

An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence.
CoRR, 2020

A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering.
CoRR, 2020

Parallel implicit-explicit general linear methods.
CoRR, 2020

Goal-oriented a posteriori estimation of numerical errors in the solution of multiphysics systems.
CoRR, 2020

2019
Design of High-Order Decoupled Multirate GARK Schemes.
SIAM J. Sci. Comput., 2019

A Class of Multirate Infinitesimal GARK Methods.
SIAM J. Numer. Anal., 2019

EPIRK-W and EPIRK-K Time Discretization Methods.
J. Sci. Comput., 2019

A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition.
J. Comput. Sci., 2019

A tiered, system-of-systems modeling framework for resolving complex socio-environmental policy issues.
Environ. Model. Softw., 2019

Efficient implementation of partitioned stiff exponential Runge-Kutta methods.
CoRR, 2019

Adaptive Krylov-Type Time Integration Methods.
CoRR, 2019

Biorthogonal Rosenbrock-Krylov time discretization methods.
CoRR, 2019

Partitioned Exponential Methods for Coupled Multiphysics Systems.
CoRR, 2019

Alternating Directions Implicit Integration in a General Linear Method Framework.
CoRR, 2019

ODE Test Problems: a MATLAB suite of initial value problems.
CoRR, 2019

Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation.
Clust. Comput., 2019

A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models.
Proceedings of the Computational Science - ICCS 2019, 2019

Tuning Covariance Localization Using Machine Learning.
Proceedings of the Computational Science - ICCS 2019, 2019

2018
An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation.
SIAM J. Sci. Comput., 2018

Solving parameter estimation problems with discrete adjoint exponential integrators.
Optim. Methods Softw., 2018

Parametric domain decomposition for accurate reduced order models: Applications of MP-LROM methodology.
J. Comput. Appl. Math., 2018

A Bayesian Approach to Multivariate Adaptive Localization in Ensemble-Based Data Assimilation with Time-Dependent Extensions.
CoRR, 2018

A Machine Learning Approach to Adaptive Covariance Localization.
CoRR, 2018

2017
Robust Data Assimilation Using L<sub>1</sub> and Huber Norms.
SIAM J. Sci. Comput., 2017

Analytical Jacobian-vector products for the matrix-free time integration of partial differential equations.
J. Comput. Appl. Math., 2017

Multivariate predictions of local reduced-order-model errors and dimensions.
CoRR, 2017

DATeS: A Highly-Extensible Data Assimilation Testing Suite.
CoRR, 2017

2016
High Order Implicit-explicit General Linear Methods with Optimized Stability Regions.
SIAM J. Sci. Comput., 2016

Multirate generalized additive Runge Kutta methods.
Numerische Mathematik, 2016

A time-parallel approach to strong-constraint four-dimensional variational data assimilation.
J. Comput. Phys., 2016

A derivative-free trust region framework for variational data assimilation.
J. Comput. Appl. Math., 2016

Rosenbrock methods with an explicit first stage.
Int. J. Comput. Math., 2016

A Numerical Investigation of Matrix-Free Implicit Time-Stepping Methods for Large CFD Simulations.
CoRR, 2016

The Reduced-Order Hybrid Monte Carlo Sampling Smoother.
CoRR, 2016

Cluster Sampling Filters for Non-Gaussian Data Assimilation.
CoRR, 2016

2015
Treatment of Uncertainties in Multibody Dynamic Systems using a Generalized Polynomial Chaos Approach; Case Study on a Full Vehicle.
Proceedings of the Advanced Autonomous Vehicle Design for Severe Environments, 2015

Application of the Generalized Polynomial Chaos to the LQR Control Problem with Uncertain Parameters in the Formulation.
Proceedings of the Advanced Autonomous Vehicle Design for Severe Environments, 2015

A Class Of Implicit-Explicit Two-Step Runge-Kutta Methods.
SIAM J. Numer. Anal., 2015

A Generalized-Structure Approach to Additive Runge-Kutta Methods.
SIAM J. Numer. Anal., 2015

An efficient implementation of the ensemble Kalman filter based on an iterative Sherman-Morrison formula.
Stat. Comput., 2015

A Posteriori Error Estimates for the Solution of Variational Inverse Problems.
SIAM/ASA J. Uncertain. Quantification, 2015

POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation.
J. Comput. Phys., 2015

Application of approximate matrix factorization to high order linearly implicit Runge-Kutta methods.
J. Comput. Appl. Math., 2015

A Framework to Analyze the Performance of Load Balancing Schemes for Ensembles of Stochastic Simulations.
Int. J. Parallel Program., 2015

Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques.
CoRR, 2015

A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation.
CoRR, 2015

A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition.
Proceedings of the 6th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2015

Parallel Solution of DDDAS Variational Inference Problems.
Proceedings of the International Conference on Computational Science, 2015

Introduction to HiPC Workshops 3 and 4.
Proceedings of the 22nd IEEE International Conference on High Performance Computing Workshops, 2015

2014
FATODE: A Library for Forward, Adjoint, and Tangent Linear Integration of ODEs.
SIAM J. Sci. Comput., 2014

Rosenbrock-Krylov Methods for Large Systems of Differential Equations.
SIAM J. Sci. Comput., 2014

A new look at the chemical master equation.
Numer. Algorithms, 2014

Extrapolation-based implicit-explicit general linear methods.
Numer. Algorithms, 2014

Partitioned and Implicit-Explicit General Linear Methods for Ordinary Differential Equations.
J. Sci. Comput., 2014

An adjoint-based scalable algorithm for time-parallel integration.
J. Comput. Sci., 2014

Exponential-Krylov methods for ordinary differential equations.
J. Comput. Phys., 2014

An optimization framework to improve 4D-Var data assimilation system performance.
J. Comput. Phys., 2014

Space-time adaptive solution of inverse problems with the discrete adjoint method.
J. Comput. Phys., 2014

Dynamic Response Optimization of Complex Multibody Systems in a Penalty Formulation using Adjoint Sensitivity.
CoRR, 2014

Lightly Implicit Krylov-Exponential (LIKE) Methods.
CoRR, 2014

POD/DEIM Strategies for reduced data assimilation systems.
CoRR, 2014

Comparison of POD reduced order strategies for the nonlinear 2D Shallow Water Equations.
CoRR, 2014

Efficient approximation of sparse Jacobians for time-implicit reduced order models.
CoRR, 2014

Solving stochastic chemical kinetics by Metropolis Hastings sampling.
CoRR, 2014

Approximate Exponential Algorithms to Solve the Chemical Master Equation.
CoRR, 2014

A Sampling Filter for Non-Gaussian Data Assimilation.
CoRR, 2014

Low-rank approximations for computing observation impact in 4D-Var data assimilation.
Comput. Math. Appl., 2014

A Posteriori Error Estimates for DDDAS Inference Problems.
Proceedings of the International Conference on Computational Science, 2014

Variational Data Assimilation Based on Derivative-Free Optimization.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

A Sampling Approach for Four Dimensional Data Assimilation.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

2013
Stability Analysis of the Matrix-Free Linearly Implicit Euler Method.
Proceedings of the Domain Decomposition Methods in Science and Engineering XX, 2013

A Practical Method to Estimate Information Content in the Context of 4D-Var Data Assimilation.
SIAM/ASA J. Uncertain. Quantification, 2013

Extrapolated Multirate Methods for Differential Equations with Multiple Time Scales.
J. Sci. Comput., 2013

Efficient methods for computing observation impact in 4D-Var data assimilation
CoRR, 2013

Implicit Simulation Methods for Stochastic Chemical Kinetics
CoRR, 2013

Implicit-explicit DIMSIM time stepping algorithms
CoRR, 2013

A class of generalized additive Runge-Kutta methods.
CoRR, 2013

CUDA acceleration of a matrix-free Rosenbrock-K method applied to the shallow water equations.
Proceedings of the Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2013

Dynamic Sensor Network Configuration in InfoSymbiotic Systems Using Model Singular Vectors.
Proceedings of the International Conference on Computational Science, 2013

2012
A Second-order Diagonally-Implicit-Explicit Multi-Stage Integration Method.
Proceedings of the International Conference on Computational Science, 2012

Information Theoretic Metrics to Characterize Observations in Variational Data Assimilation.
Proceedings of the International Conference on Computational Science, 2012

An Adjoint Based Implementation of the Parareal Algorithm.
Proceedings of the International Conference on Computational Science, 2012

An Effcient Implementation of the Ensemble Kalman Filter Based on Iterative Sherman Morrison Formula.
Proceedings of the International Conference on Computational Science, 2012

Second-order adjoints for solving PDE-constrained optimization problems.
Optim. Methods Softw., 2012

Variational chemical data assimilation with approximate adjoints.
Comput. Geosci., 2012

2011
Automatic Generation of Multicore Chemical Kernels.
IEEE Trans. Parallel Distributed Syst., 2011

Scalable heterogeneous parallelism for atmospheric modeling and simulation.
J. Supercomput., 2011

On the adaptive solution of space-time inverse problems with the adjoint method.
Proceedings of the International Conference on Computational Science, 2011

Implicit Second Order Weak Taylor Tau-Leaping Methods for the Stochastic Simulation of Chemical Kinetics.
Proceedings of the International Conference on Computational Science, 2011

FATODE: a library for forward, adjoint and tangent linear integration of stiff systems.
Proceedings of the 2011 Spring Simulation Multi-conference, 2011

Fully implicit tau-leaping methods for the stochastic simulation of chemical kinetics.
Proceedings of the 2011 Spring Simulation Multi-conference, 2011

Efficient Computation of Observation Impact in 4D-Var Data Assimilation.
Proceedings of the Uncertainty Quantification in Scientific Computing, 2011

2010
Optimal Explicit Strong-Stability-Preserving General Linear Methods.
SIAM J. Sci. Comput., 2010

Extrapolated Implicit-Explicit Time Stepping.
SIAM J. Sci. Comput., 2010

Forward, tangent linear, and adjoint Runge-Kutta methods for stiff chemical kinetic simulations.
Int. J. Comput. Math., 2010

An efficient error control mechanism for the adaptive 'parareal' time discretization algorithm.
Proceedings of the 2010 Spring Simulation Multiconference, 2010

Development and acceleration of parallel chemical transport models.
Proceedings of the 2010 Spring Simulation Multiconference, 2010

Collocation least-squares polynomial chaos method.
Proceedings of the 2010 Spring Simulation Multiconference, 2010

Obtaining and using second order derivative information in the solution of large scale inverse problems.
Proceedings of the 2010 Spring Simulation Multiconference, 2010

Parallel stochastic simulations of budding yeast cell cycle: load balancing strategies and theoretical analysis.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Efficient uncertainty quantification with the polynomial chaos method for stiff systems.
Math. Comput. Simul., 2009

Multirate Explicit Adams Methods for Time Integration of Conservation Laws.
J. Sci. Comput., 2009

On the discrete adjoints of adaptive time stepping algorithms.
J. Comput. Appl. Math., 2009

Uncertainty quantification and apportionment in air quality models using the polynomial chaos method.
Environ. Model. Softw., 2009

Forward and adjoint sensitivity analysis with continuous explicit Runge-Kutta schemes.
Appl. Math. Comput., 2009

Towards the construction of a standard adjoint GEOS-Chem model.
Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, 2009

Multi-core acceleration of chemical kinetics for simulation and prediction.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

Vector stream processing for effective application of heterogeneous parallelism.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Uncertainty apportionment for air quality forecast models.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

A comparison of programming models for multiprocessors with explicitly managed memory hierarchies.
Proceedings of the 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2009

Improving GEOS-Chem Model Tropospheric Ozone through Assimilation of Pseudo Tropospheric Emission Spectrometer Profile Retrievals.
Proceedings of the Computational Science, 2009

Atmospheric and Oceanic Computational Science.
Proceedings of the Computational Science, 2009

Chemical Data Assimilation with CMAQ: Continuous vs. Discrete Advection Adjoints.
Proceedings of the Computational Science, 2009

Explicit Time Stepping Methods with High Stage Order and Monotonicity Properties.
Proceedings of the Computational Science, 2009

2008
Discrete second order adjoints in atmospheric chemical transport modeling.
J. Comput. Phys., 2008

Predicting air quality: Improvements through advanced methods to integrate models and measurements.
J. Comput. Phys., 2008

Optimizing large scale chemical transport models for multicore platforms.
Proceedings of the 2008 Spring Simulation Multiconference, 2008

2007
Multirate Timestepping Methods for Hyperbolic Conservation Laws.
J. Sci. Comput., 2007

Performance of stabilized explicit time integration methods for parallel air quality models.
Proceedings of the 2007 Spring Simulation Multiconference, 2007

Data Assimilation in Multiscale Chemical Transport Models.
Proceedings of the Computational Science, 2007

Localized Ensemble Kalman Dynamic Data Assimilation for Atmospheric Chemistry.
Proceedings of the Computational Science, 2007

Numerical study of uncertainty quantification techniques for implicit stiff systems.
Proceedings of the 45th Annual Southeast Regional Conference, 2007

An investigation of discrete adjoints for flux-limited numerical schemes.
Proceedings of the 45th Annual Southeast Regional Conference, 2007

2006
On the Properties of Runge-Kutta Discrete Adjoints.
Proceedings of the Computational Science, 2006

Targeted Observations for Atmospheric Chemistry and Transport Models.
Proceedings of the Computational Science, 2006

Forward, Tangent Linear, and Adjoint Runge-Kutta Methods in KPP-2.2.
Proceedings of the Computational Science, 2006

2005
Ensemble-Based Data Assimilation for Atmospheric Chemical Transport Models.
Proceedings of the Computational Science, 2005

Analysis of Discrete Adjoints for Upwind Numerical Schemes.
Proceedings of the Computational Science, 2005

Total Energy Singular Vectors for Atmospheric Chemical Transport Models.
Proceedings of the Computational Science, 2005

On Adaptive Mesh Refinement for Atmospheric Pollution Models.
Proceedings of the Computational Science, 2005

2004
Editorial message: special track on computational sciences.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Adaptive resolution modeling of regional air quality.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Computational Aspects of Data Assimilation for Aerosol Dynamics.
Proceedings of the Computational Science, 2004

2003
Discretizing Aerosol Dynamics with B-Splines.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

Computational Sciences Track Editorial.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

Computational Aspects of Chemical Data Assimilation into Atmospheric Models.
Proceedings of the Computational Science - ICCS 2003, 2003

2001
Parallel Molecular Dynamics on Scyld Clusters.
Proceedings of the Tenth SIAM Conference on Parallel Processing for Scientific Computing, 2001

2000
Application of ADIFOR for air pollution model sensitivity studies.
Environ. Model. Softw., 2000

1997
Improved Quasi-Steady-State-Approximation Methods for Atmospheric Chemistry Integration.
SIAM J. Sci. Comput., 1997


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