| Implicit Multirate Gark Methods | 0 | 0.34 | 2021 |
| Alternating directions implicit integration in a general linear method framework | 0 | 0.34 | 2021 |
| A Class of Multirate Infinitesimal GARK Methods | 0 | 0.34 | 2019 |
| Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation | 3 | 0.39 | 2019 |
| EPIRK-<Emphasis Type="Italic">W</Emphasis> and EPIRK-<Emphasis Type="Italic">K</Emphasis> Time Discretization Methods | 1 | 0.35 | 2019 |
| A tiered, system-of-systems modeling framework for resolving complex socio-environmental policy issues. | 1 | 0.37 | 2019 |
| ODE Test Problems: a MATLAB suite of initial value problems. | 0 | 0.34 | 2019 |
| A Learning-Based Approach For Uncertainty Analysis In Numerical Weather Prediction Models | 0 | 0.34 | 2019 |
| Tuning Covariance Localization Using Machine Learning | 0 | 0.34 | 2019 |
| Alternating Directions Implicit Integration in a General Linear Method Framework. | 0 | 0.34 | 2019 |
| A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. | 0 | 0.34 | 2018 |
| COUPLED MULTIRATE INFINITESIMAL GARK SCHEMES FOR STIFF SYSTEMS WITH MULTIPLE TIME SCALES | 0 | 0.34 | 2018 |
| Solving Parameter Estimation Problems with Discrete Adjoint Exponential Integrators. | 1 | 0.39 | 2018 |
| Design of High-Order Decoupled Multirate GARK Schemes. | 0 | 0.34 | 2018 |
| A Bayesian Approach to Multivariate Adaptive Localization in Ensemble-Based Data Assimilation with Time-Dependent Extensions. | 0 | 0.34 | 2018 |
| Parametric domain decomposition for accurate reduced order models: Applications of MP-LROM methodology. | 1 | 0.36 | 2018 |
| An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation. | 2 | 0.38 | 2018 |
| Robust Data Assimilation Using L1 and Huber Norms. | 0 | 0.34 | 2017 |
| DATeS: A Highly-Extensible Data Assimilation Testing Suite. | 0 | 0.34 | 2017 |
| Multivariate Predictions Of Local Reduced-Order-Model Errors And Dimensions | 5 | 0.56 | 2017 |
| Rosenbrock methods with an explicit first stage | 0 | 0.34 | 2016 |
| A Parallel Implementation of the Ensemble Kalman Filter Based on Modified Cholesky Decomposition. | 5 | 0.43 | 2016 |
| A Time-parallel Approach to Strong-constraint Four-dimensional Variational Data Assimilation. | 4 | 0.50 | 2016 |
| A Numerical Investigation of Matrix-Free Implicit Time-Stepping Methods for Large CFD Simulations. | 1 | 0.63 | 2016 |
| Cluster Sampling Filters for Non-Gaussian Data Assimilation. | 4 | 0.64 | 2016 |
| POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation. | 5 | 0.49 | 2015 |
| Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques. | 1 | 0.36 | 2015 |
| An efficient implementation of the ensemble Kalman filter based on an iterative Sherman–Morrison formula | 8 | 0.89 | 2015 |
| A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition. | 2 | 0.37 | 2015 |
| Parallel Solution Of Dddas Variational Inference Problems | 1 | 0.37 | 2015 |
| A Posteriori Error Estimates for the Solution of Variational Inverse Problems | 9 | 0.82 | 2015 |
| A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation | 7 | 0.99 | 2015 |
| POD/DEIM Strategies for reduced data assimilation systems. | 0 | 0.34 | 2014 |
| Lightly Implicit Krylov-Exponential (LIKE) Methods. | 0 | 0.34 | 2014 |
| A Sampling Filter for Non-Gaussian Data Assimilation. | 0 | 0.34 | 2014 |
| Space-time adaptive solution of inverse problems with the discrete adjoint method. | 6 | 0.48 | 2014 |
| An adjoint-based scalable algorithm for time-parallel integration. | 3 | 0.45 | 2014 |
| Optimization of Vehicle Dynamics based on Multibody Models using Adjoint Sensitivity Analysis. | 0 | 0.34 | 2014 |
| Efficient approximation of sparse Jacobians for time-implicit reduced order models. | 3 | 0.43 | 2014 |
| FATODE: A Library for Forward, Adjoint, and Tangent Linear Integration of ODEs. | 6 | 0.56 | 2014 |
| Rosenbrock-Krylov Methods for Large Systems of Differential Equations. | 5 | 0.65 | 2014 |
| Application of approximate matrix factorization to high order linearly implicit Runge-Kutta methods | 2 | 0.45 | 2014 |
| Multirate generalized additive Runge Kutta methods. | 2 | 0.53 | 2013 |
| A class of generalized additive Runge-Kutta methods. | 1 | 0.37 | 2013 |
| Implicit-explicit DIMSIM time stepping algorithms | 1 | 0.39 | 2013 |
| An optimization framework to improve 4D-Var data assimilation system performance | 3 | 0.68 | 2013 |
| Low-rank approximations for computing observation impact in 4D-Var data assimilation. | 0 | 0.34 | 2013 |
| CUDA acceleration of a matrix-free Rosenbrock-K method applied to the shallow water equations | 1 | 0.41 | 2013 |
| Implicit Simulation Methods for Stochastic Chemical Kinetics | 4 | 0.67 | 2013 |
| Extrapolated Multirate Methods for Differential Equations with Multiple Time Scales | 3 | 0.67 | 2013 |
