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Rosemary A. Renaut
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- affiliation: Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2023
- [j25]Saeed Vatankhah, Xingguo Huang, Rosemary A. Renaut, Kevin Mickus, Hojjat Kabirzadeh, Jun Lin:
Efficiently Implementing and Balancing the Mixed Lp-Norm Joint Inversion of Gravity and Magnetic Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - 2022
- [j24]Saeed Vatankhah, Shuang Liu, Rosemary Anne Renaut, Xiangyun Hu, Jarom D. Hogue, Mostafa Gharloghi:
An Efficient Alternating Algorithm for the Lₚ-Norm Cross-Gradient Joint Inversion of Gravity and Magnetic Data Using the 2-D Fast Fourier Transform. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - 2021
- [i8]Michael J. Byrne, Rosemary A. Renaut:
Learning multiple regularization parameters for generalized Tikhonov regularization using multiple data sets without true data. CoRR abs/2112.12344 (2021) - [i7]Saeed Vatankhah, Rosemary A. Renaut, Xingguo Huang, Kevin Mickus, Mostafa Gharloghi:
Large-scale focusing joint inversion of gravity and magnetic data with Gramian constraint. CoRR abs/2112.15562 (2021) - 2020
- [j23]Jarom D. Hogue, Rosemary Anne Renaut, Saeed Vatankhah:
A tutorial and open source software for the efficient evaluation of gravity and magnetic kernels. Comput. Geosci. 144: 104575 (2020) - [i6]Saeed Vatankhah, Shuang Liu, Rosemary A. Renaut, Xiangyun Hu, Mostafa Gharloghi:
Generalized L$_p$-norm joint inversion of gravity and magnetic data using cross-gradient constraint. CoRR abs/2001.03579 (2020) - [i5]Rosemary A. Renaut, Jarom D. Hogue, Saeed Vatankhah:
A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the $2D$ fast Fourier transform. CoRR abs/2004.13904 (2020)
2010 – 2019
- 2019
- [j22]Saeed Vatankhah, Vahid Ebrahimzadeh Ardestani, Susan Soodmand Niri, Rosemary Anne Renaut, Hojjat Kabirzadeh:
IGUG: A MATLAB package for 3D inversion of gravity data using graph theory. Comput. Geosci. 128: 19-29 (2019) - [i4]Saeed Vatankhah, Shuang Liu, Rosemary A. Renaut, Xiangyun Hu, Jamaledin Baniamerian:
Improving the use of the randomized singular value decomposition for the inversion of gravity and magnetic data. CoRR abs/1906.11221 (2019) - [i3]Dan Zhu, Rosemary A. Renaut, Hongwei Li, Tianyou Liu:
Fast non-convex low-rank matrix decomposition for separation of potential field data using minimal memory. CoRR abs/1912.06240 (2019) - [i2]Jarom D. Hogue, Rosemary A. Renaut, Saeed Vatankhah:
A Tutorial and Open Source Software for the Efficient Evaluation of Gravity and Magnetic Kernels. CoRR abs/1912.06976 (2019) - 2017
- [j21]Rosemary A. Renaut, Saeed Vatankhah, Vahid E. Ardestani:
Hybrid and Iteratively Reweighted Regularization by Unbiased Predictive Risk and Weighted GCV for Projected Systems. SIAM J. Sci. Comput. 39(2) (2017) - 2015
- [j20]Jakob K. Hansen, Jarom D. Hogue, Grant K. Sander, Rosemary A. Renaut, Sudeep C. Popat:
Non-negatively constrained least squares and parameter choice by the residual periodogram for the inversion of electrochemical impedance spectroscopy data. J. Comput. Appl. Math. 278: 52-74 (2015) - 2013
- [i1]Saeed Vatankhah, Vahid E. Ardestani, Rosemary A. Renaut:
Automatic estimation of the regularization parameter in 2-D focusing gravity inversion: an application to the Safo manganese mine in northwest of Iran. CoRR abs/1310.0068 (2013) - 2012
- [j19]Anne Gelb, Rosemary A. Renaut, Svetlana Roudenko, Douglas Cochran:
Special Issue on Mathematical Methods in Medical Imaging - Guest Editors' Introduction. J. Sci. Comput. 50(3): 493-494 (2012) - [j18]Wolfgang Stefan, Adityavikram Viswanathan, Anne Gelb, Rosemary A. Renaut:
Sparsity Enforcing Edge Detection Method for Blurred and Noisy Fourier data. J. Sci. Comput. 50(3): 536-556 (2012) - [j17]Wolfgang Stefan, Kewei Chen, Hongbin Guo, Rosemary A. Renaut, Svetlana Roudenko:
Wavelet-Based De-noising of Positron Emission Tomography Scans. J. Sci. Comput. 50(3): 665-677 (2012) - [j16]Rosemary A. Renaut, Youzuo Lin, Hongbin Guo:
Multisplitting for regularized least squares with Krylov subspace recycling. Numer. Linear Algebra Appl. 19(4): 655-676 (2012) - 2011
- [j15]Hongbin Guo, Rosemary A. Renaut:
Revisiting stopping rules for iterative methods used in emission tomography. Comput. Medical Imaging Graph. 35(5): 398-406 (2011) - 2010
- [j14]Rosemary A. Renaut, Iveta Hnetynková, Jodi L. Mead:
Regularization parameter estimation for large-scale Tikhonov regularization using a priori information. Comput. Stat. Data Anal. 54(12): 3430-3445 (2010) - [j13]Adityavikram Viswanathan, Anne Gelb, Douglas Cochran, Rosemary A. Renaut:
On Reconstruction from Non-uniform Spectral Data. J. Sci. Comput. 45(1-3): 487-513 (2010) - [j12]Wolfgang Stefan, Rosemary A. Renaut, Anne Gelb:
Improved Total Variation-Type Regularization Using Higher Order Edge Detectors. SIAM J. Imaging Sci. 3(2): 232-251 (2010)
2000 – 2009
- 2009
- [j11]Hongbin Guo, Rosemary A. Renaut, Kewei Chen, Eric Reiman:
FDG-PET parametric imaging by total variation minimization. Comput. Medical Imaging Graph. 33(4): 295-303 (2009) - 2007
- [c5]Asaad F. Said, Lina J. Karam, Michael E. Berens, Zoé Lacroix, Rosemary A. Renaut:
Migration and Proliferation Analysis for Bladder Cancer Cells. ISBI 2007: 320-323 - 2005
- [j10]Hongbin Guo, Rosemary A. Renaut:
Parallel variable distribution for total least squares. Numer. Linear Algebra Appl. 12(9): 859-876 (2005) - 2004
- [j9]Kewei Chen, Eric M. Reiman, Gene E. Alexander, Daniel Bandy, Rosemary A. Renaut, William R. Crum, Nick C. Fox, Martin Rossor:
An automated algorithm for the computation of brain volume change from sequential MRIs using an iterative principal component analysis and its evaluation for the assessment of whole-brain atrophy rates in patients with probable Alzheimer's disease. NeuroImage 22(1): 134-143 (2004) - [j8]Hongbin Guo, Rosemary A. Renaut:
Estimation of uTƒ(A)v for large-scale unsymmetric matrices. Numer. Linear Algebra Appl. 11(1): 75-89 (2004) - [j7]Rosemary A. Renaut, Hongbin Guo:
Efficient Algorithms for Solution of Regularized Total Least Squares. SIAM J. Matrix Anal. Appl. 26(2): 457-476 (2004) - 2003
- [j6]Rosemary A. Renaut, Ulrich Rüde:
Editorial. Future Gener. Comput. Syst. 19(8): 1265 (2003) - [j5]Rick Archibald, Kewei Chen, Anne Gelb, Rosemary A. Renaut:
Improving tissue segmentation of human brain MRI through preprocessing by the Gegenbauer reconstruction method. NeuroImage 20(1): 489-502 (2003) - 2002
- [j4]Jodi L. Mead, Rosemary A. Renaut:
Accuracy, Resolution, and Stability Properties of a Modified Chebyshev Method. SIAM J. Sci. Comput. 24(1): 143-160 (2002)
1990 – 1999
- 1998
- [j3]Rosemary A. Renaut:
A parallel multisplitting solution of the least squares problem. Numer. Linear Algebra Appl. 5(1): 11-31 (1998) - 1997
- [j2]Rosemary A. Renaut, Yi Su:
Evaluation of Chebyshev pseudospectral methods for third order differential equations. Numer. Algorithms 16(3-4): 255-281 (1997) - 1995
- [j1]Rosemary A. Renaut, Hans D. Mittelmann:
Parallel Multisplittings for Optimization. Parallel Algorithms Appl. 7(1-2): 17-27 (1995) - [c4]Rosemary A. Renaut, Hans D. Mittelmann:
Parallel Multisplittings for Optimisation. PP 1995: 104-105 - 1994
- [c3]Mahn-ling Woo, Rosemary A. Renaut:
Unordered parallel distance-1 and distance-2 FFT algorithms of radix 2 and (4-2). SAC 1994: 504-509 - 1991
- [c2]Mahn-ling Woo, Rosemary A. Renaut:
Parallel power-of-two FFTs on hypercubes. SC 1991: 754-763
1980 – 1989
- 1988
- [c1]Rosemary A. Renaut, J. Petersen:
Evaluation of a vector hypercube for seismic modelling. C³P 1988: 1187-1192
Coauthor Index
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