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Mahesh Narayanamurthi
Mahesh Narayanamurthi
Unknown affiliation
Verified email at vt.edu
Title
Cited by
Cited by
Year
EPIRK-W and EPIRK-K Time Discretization Methods
M Narayanamurthi, P Tranquilli, A Sandu, M Tokman
Journal of Scientific Computing 78, 167-201, 2019
232019
Dates: A highly-extensible data assimilation testing suite
A Attia, A Sandu
arXiv preprint arXiv:1704.05594, 2017
72017
Partitioned exponential methods for coupled multiphysics systems
M Narayanamurthi, A Sandu
Applied Numerical Mathematics 161, 178-207, 2021
62021
Efficient implementation of partitioned stiff exponential Runge-Kutta methods
M Narayanamurthi, A Sandu
Applied Numerical Mathematics 152, 141-158, 2020
62020
Linearly implicit multistep methods for time integration
SR Glandon, M Narayanamurthi, A Sandu
SIAM Journal on Scientific Computing 44 (6), A3437-A3462, 2022
52022
EPIRK-K time discretization methods
M Narayanamurthi, P Tranquilli, A Sandu, MEW Tokman
J. Sci. Comput 78, 167-201, 2019
52019
Solving parameter estimation problems with discrete adjoint exponential integrators
U Römer, M Narayanamurthi, A Sandu
Optimization Methods and Software, 1-21, 2018
52018
Goal-oriented a posteriori estimation of numerical errors in the solution of multiphysics systems
M Narayanamurthi, U Römer, A Sandu
arXiv preprint arXiv:2001.08824, 2020
12020
Efficient implementation of partitioned stiff exponential runge-kutta methods
M Narayanamurthi, A Sandu
arXiv preprint arXiv:1912.01044, 2019
12019
Advanced Time Integration Methods with Applications to Simulation, Inverse Problems, and Uncertainty Quantification
M Narayanamurthi
Virginia Tech, 2020
2020
AD-Suite-A Test Suite for Algorithmic Differentiation
M Narayanamurthi, T Bosse, S Narayanan, P Hovland
Argonne National Lab.(ANL), Argonne, IL (United States), 2016
2016
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