An alternating direction multiplier method for the inversion of FDEM data

Numerical optimization and variational techniques (65K10) Numerical solutions to equations with nonlinear operators (65J15) Systems of nonlinear integral equations (45G15)

Cites Work

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Large-scale Tikhonov regularization via reduction by orthogonal projection
FDEMtools: a Matlab package for FDEM data inversion
Recovering the electrical conductivity of the soil via a linear integral model
Whiteness constraints in a unified variational framework for image restoration
Residual whiteness principle for parameter-free image restoration
An $\ell^2$-$\ell^q$ regularization method for large discrete ill-posed problems
A comparison of parameter choice rules for $\ell^p$-$\ell^q$ minimization
Inversion of multiconfiguration complex EMI data with minimum gradient support regularization: a case study
Variational image restoration with constraints on noise whiteness
Majorization-minimization generalized Krylov subspace methods for ${\ell _p}$-${\ell _q}$ optimization applied to image restoration
Identifying the magnetic permeability in multi-frequency EM data inversion
Exploiting residual information in the parameter choice for discrete ill-posed problems
Regularized minimal-norm solution of an overdetermined system of first kind integral equations
Constrained total variation deblurring models and fast algorithms based on alternating direction method of multipliers
Variational image denoising based on autocorrelation whiteness
Regularized solution of a nonlinear problem in electromagnetic sounding
Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems
A Generalized Krylov Subspace Method for $\ell_p$-$\ell_q$ Minimization
Deblurring Images
Residual periodograms for choosing regularization parameters for ill-posed problems
Globally convergent block-coordinate techniques for unconstrained optimization
Regularized Inversion of Multi-Frequency EM Data in Geophysical Applications
A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring
A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions
A variational non-linear constrained model for the inversion of FDEM data*
Parameter Estimation for Blind and Non-Blind Deblurring Using Residual Whiteness Measures
Limited memory restarted $\ell^p$-$\ell^q$ minimization methods using generalized Krylov subspaces
An efficient implementation of the Gauss-Newton method via generalized Krylov subspaces
ADMM-based residual whiteness principle for automatic parameter selection in single image super-resolution problems
Software for limited memory restarted $\ell^p$-$\ell^q$ minimization methods using generalized Krylov subspaces