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Mircea Grigoriu

According to our database1, Mircea Grigoriu authored at least 15 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2020
Data-based importance sampling estimates for extreme events.
[BibTeX]
[DOI]
Mircea Grigoriu
J. Comput. Phys., 2020

Time evolution of the characteristic and probability density function of diffusion processes via neural networks.
[BibTeX]
[DOI]
Wayne Isaac Tan Uy
,
Mircea Grigoriu
CoRR, 2020

2019
Specification of Additional Information for Solving Stochastic Inverse Problems.
[BibTeX]
[DOI]
Wayne Isaac T. Uy
,
Mircea Grigoriu
SIAM J. Sci. Comput., 2019

PC Translation Models for Random Vectors and Multivariate Extremes.
[BibTeX]
[DOI]
Mircea Grigoriu
SIAM J. Sci. Comput., 2019

Finite dimensional models for random functions.
[BibTeX]
[DOI]
Mircea Grigoriu
J. Comput. Phys., 2019

2017
Monte Carlo algorithm for vector-valued Gaussianfunctions with preset component accuracies.
[BibTeX]
[DOI]
Mircea Grigoriu
Monte Carlo Methods Appl., 2017

Estimates of System Response Maxima by Extreme Value Theory and Surrogate Models.
[BibTeX]
[DOI]
Mircea Grigoriu
SIAM/ASA J. Uncertain. Quantification, 2017

2016
Microstructure Models and Material Response by Extreme Value Theory.
[BibTeX]
[DOI]
Mircea Grigoriu
SIAM/ASA J. Uncertain. Quantification, 2016

2015
Parametric models for samples of random functions.
[BibTeX]
[DOI]
Mircea Grigoriu
J. Comput. Phys., 2015

2014
An efficient Monte Carlo solution for problems with random matrices.
[BibTeX]
[DOI]
Mircea Grigoriu
Monte Carlo Methods Appl., 2014

Response Statistics for Random Heterogeneous Microstructures.
[BibTeX]
[DOI]
Mircea Grigoriu
SIAM/ASA J. Uncertain. Quantification, 2014

2013
An algorithm for on-the-fly generation of samples of non-stationary Gaussian processes based on a sampling theorem.
[BibTeX]
[DOI]
Richard V. Field Jr.
,
Mircea Grigoriu
,
Clark R. Dohrmann
Monte Carlo Methods Appl., 2013

2012
A method for solving stochastic equations by reduced order models and local approximations.
[BibTeX]
[DOI]
Mircea Grigoriu
J. Comput. Phys., 2012

2010
A spectral-based Monte Carlo algorithm for generating samples of nonstationary Gaussian processes.
[BibTeX]
[DOI]
Mircea Grigoriu
Monte Carlo Methods Appl., 2010

Probabilistic models for stochastic elliptic partial differential equations.
[BibTeX]
[DOI]
Mircea Grigoriu
J. Comput. Phys., 2010


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