Alexander V. Mamonov

Maxim A. Olshanskii

SIAM J. Sci. Comput., 2024

When Data Driven Reduced Order Modeling Meets Full Waveform Inversion.

[BibT_eX]

[DOI]

SIAM Rev., 2024

2023

Waveform Inversion with a Data Driven Estimate of the Internal Wave.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., March, 2023

Analysis of a tensor POD-ROM for parameter dependent parabolic problems.

[BibT_eX]

[DOI]

Maxim A. Olshanskii

CoRR, 2023

2022

Distance Preserving Model Order Reduction of Graph-Laplacians and Cluster Analysis.

[BibT_eX]

[DOI]

J. Sci. Comput., 2022

Velocity estimation via model order reduction.

[BibT_eX]

[DOI]

CoRR, 2022

Waveform inversion via reduced order modeling.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Interpolatory tensorial reduced order models for parametric dynamical systems.

[BibT_eX]

[DOI]

Maxim A. Olshanskii

CoRR, 2021

Reduced order model approach for imaging with waves.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Reduced Order Model Approach to Inverse Scattering.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2020

2019

Robust nonlinear processing of active array data in inverse scattering via truncated reduced order models.

[BibT_eX]

[DOI]

J. Comput. Phys., 2019

Reduced order models for spectral domain inversion: Embedding into the continuous problem and generation of internal data.

[BibT_eX]

[DOI]

CoRR, 2019

2018

A Nonlinear Method for Imaging with Acoustic Waves Via Reduced Order Model Backprojection.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2018

Clustering of graph vertex subset via Krylov subspace model reduction.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Multiscale S-Fraction Reduced-Order Models for Massive Wavefield Simulations.

[BibT_eX]

[DOI]