S. Vatankhah

发表

Regularization parameter estimation for underdetermined problems by the χ 2 principle with application to 2D focusing gravity inversion

Rosemary A Renaut, Saeed Vatankhah, R. Renaut, 2014, 1402.3365.

Unbiased predictive risk estimation of the Tikhonov regularization parameter: convergence with increasing rank approximations of the singular value decomposition

R. Renaut, S. Vatankhah, Anthony W. Helmstetter, 2018, BIT Numerical Mathematics.

Total variation regularization of the 3-D gravity inverse problem using a randomized generalized singular value decomposition

Rosemary A. Renaut, Saeed Vatankhah, Vahid E. Ardestani, 2017, 1709.08125.

3-D Projected L1 inversion of gravity data using truncated unbiased predictive risk estimator for regularization parameter estimation

Rosemary A. Renaut, Saeed Vatankhah, Vahid E. Ardestani, 2017 .

CONVERGENCE OF REGULARIZATION PARAMETERS FOR SOLUTIONS USING THE FILTERED TRUNCATED SINGULAR VALUE DECOMPOSITION

R. Renaut, S. Vatankhah, Anthony W. Helmstetter, 2018 .

Susceptibility and remanent magnetization inversion of magnetic data with a priori information of the Köenigsberger ratio

Xiangyun Hu, Shuang Liu, Tao Yang, 2020 .

Comment On : “ Three-dimensional potential field data inversion with L 0 quasi-norm sparse constraints ” , by Zhaohai

S. Vatankhah, Meng, 2018 .

Large-scale Inversion of Magnetic Data Using Golub-Kahan Bidiagonalization with Truncated Generalized Cross Validation for Regularization Parameter Estimation

S. Vatankhah, 2018 .

A fast algorithm for regularized focused 3D inversion of gravity data using randomized singular-value decomposition

S. Vatankhah, V. E. Ardestani, Rosemary Anne Renaut, 2017, GEOPHYSICS.

3-D Projected $ L_{1}$ inversion of gravity data

R. Renaut, S. Vatankhah, V. E. Ardestani, 2016, 1601.00114.

A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the $2D$ fast Fourier transform

Jarom D. Hogue, R. Renaut, S. Vatankhah, 2020, Geophysical Journal International.

A fast algorithm for regularized focused 3D inversion of gravity data using randomized singular-value decomposition

S. Vatankhah, V. E. Ardestani, Rosemary Anne Renaut, 2017, GEOPHYSICS.

Unbiased predictive risk estimation of the Tikhonov regularization parameter: convergence with increasing rank approximations of the singular value decomposition

R. Renaut, S. Vatankhah, Anthony W. Helmstetter, 2019, BIT Numerical Mathematics.

Hybrid and iteratively reweighted regularization by unbiased predictive risk and weighted GCV for projected systems 5 December 2016

Rosemary A. Renaut, Saeed Vatankhah, Vahid E. Ardestani, 2016 .

The IDQ curve: A tool for evaluating the direction of remanent magnetization from magnetic anomalies

Xiangyun Hu, Shuang Liu, Henglei Zhang, 2020 .

Improving the use of the randomized singular value decomposition for the inversion of gravity and magnetic data pdf

Rosemary A. Renaut, Xiangyun Hu, Saeed Vatankhah, 2019, GEOPHYSICS.

Application of the χ2 principle and unbiased predictive risk estimator for determining the regularization parameter in 3-D focusing gravity inversion

Rosemary A. Renaut, Saeed Vatankhah, Vahid E. Ardestani, 2014, 1408.0712.

Automatic estimation of the regularization parameter in 2-D focusing gravity inversion: an application to the Safo manganese mine in northwest of Iran

Rosemary A. Renaut, Saeed Vatankhah, Vahid E. Ardestani, 2013, ArXiv.

Automatic estimation of the regularization parameter in 2-D focusing gravity inversion: an application to the Safo manganese mine in northwest of Iran pdf

Rosemary A. Renaut, Saeed Vatankhah, Vahid E. Ardestani, 2013, ArXiv.

Large-scale focusing joint inversion of gravity and magnetic data with Gramian constraint

R. Renaut, Xingguo Huang, S. Vatankhah, 2021, Geophysical Journal International.

The northeastern Algeria hydrothermal system: gravimetric data and structural implication

R. Renaut, S. Maouche, S. Vatankhah, 2023, Geothermal Energy.

Efficiently Implementing and Balancing the Mixed Lp-Norm Joint Inversion of Gravity and Magnetic Data

R. Renaut, Xingguo Huang, S. Vatankhah, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Research Note: A unifying framework for the widely used stabilization of potential field inverse problems

Rosemary A. Renaut, Shuang Liu, Saeed Vatankhah, 2020, Geophysical Prospecting.

A Tutorial and Open Source Software for the Efficient Evaluation of Gravity and Magnetic Kernels

Jarom D. Hogue, R. Renaut, S. Vatankhah, 2019, Comput. Geosci..

Regularization parameter estimation for underdetermined problems by the χ 2 principle with application to 2D focusing gravity inversion

R. Renaut, S. Vatankhah, V. E. Ardestani, 2014, 1402.3365.

An Efficient Alternating Algorithm for the Lₚ-Norm Cross-Gradient Joint Inversion of Gravity and Magnetic Data Using the 2-D Fast Fourier Transform

Jarom D. Hogue, Xiangyun Hu, R. Renaut, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Comment on: `Improving compact gravity inversion based on new weighting functions', by Mohammad Hossein Ghalehnoee, Abdolhamid Ansari and Ahmad Ghorbani

R. Renaut, S. Vatankhah, 2017 .

A fast algorithm for regularized focused 3-D inversion of gravity data using the randomized SVD

Rosemary A. Renaut, Saeed Vatankhah, Vahid E. Ardestani, 2017 .

Hybrid and Iteratively Reweighted Regularization by Unbiased Predictive Risk and Weighted GCV for Projected Systems

R. Renaut, S. Vatankhah, V. E. Ardestani, 2015, SIAM J. Sci. Comput..

Fast and sparse inversion of magnetic data with truncated generalized cross validation

S. Vatankhah, A. Rosemary, G. A. F. Kheirabad, 2016 .

Regularization Parameter Estimation: Stabilization of LSQR Algorithms by Iterative Reweighting

Rosemary A. Renaut, Saeed Vatankhah, R. Renaut, 2015 .

IGUG: A MATLAB package for 3D inversion of gravity data using graph theory

Saeed Vatankhah, Vahid Ebrahimzadeh Ardestani, Susan Soodmand Niri, 2018, Comput. Geosci..