Khalide Jbilou

Orcid: 0000-0003-4887-683X

According to our database1, Khalide Jbilou authored at least 84 papers between 1993 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A tensor bidiagonalization method for higher-order singular value decomposition with applications.
Numer. Linear Algebra Appl., March, 2024

N-mode minimal tensor extrapolation methods.
Numer. Algorithms, February, 2024

Higher order multi-dimension reduction methods via Einstein-product.
CoRR, 2024

Trace Ratio Based Manifold Learning with Tensor Data.
CoRR, 2024

Extended block Hessenberg process for the evaluation of matrix functions.
CoRR, 2024

Multidimensional extrapolated global proximal gradient and applications for image processing.
CoRR, 2024

2023
Krylov subspace solvers for ℓ1 regularized logistic regression method.
Commun. Stat. Simul. Comput., June, 2023

A Data-Driven Krylov Model Order Reduction for Large-Scale Dynamical Systems.
J. Sci. Comput., April, 2023

Vector Aitken extrapolation method for multilinear PageRank computations.
J. Appl. Math. Comput., February, 2023

The global Golub-Kahan method and Gauss quadrature for tensor function approximation.
Numer. Algorithms, January, 2023

A low-rank non-convex norm method for multiview graph clustering.
CoRR, 2023

Einstien-Multidimensional Extrapolation methods.
CoRR, 2023

Tensor Golub Kahan based on Einstein product.
CoRR, 2023

A Rational Krylov Subspace Method for the Computation of the Matrix Exponential Operator.
CoRR, 2023

A model reduction method for large-scale linear multidimensional dynamical systems.
CoRR, 2023

Spectral computation with third-order tensors using the t-product.
CoRR, 2023

High-dimensional multi-view clustering methods.
CoRR, 2023

Auxiliary Splines Space Preconditioning for B-Splines Finite Elements: The case of H(curl, Ω) and H(div, Ω) elliptic problems.
CoRR, 2023

Golub Kahan Based Methods for Partial Multidimensional Singular Value Decomposition.
Proceedings of the 13th International Conference on Dependable Systems, 2023

2022
A model reduction method in large scale dynamical systems using an extended-rational block Arnoldi method.
J. Appl. Math. Comput., February, 2022

An Extended-Rational Arnoldi Method for Large Matrix Exponential Evaluations.
J. Sci. Comput., 2022

A Tensor Regularized Nuclear Norm Method for Image and Video Completion.
J. Optim. Theory Appl., 2022

The extended symmetric block Lanczos method for matrix-valued Gauss-type quadrature rules.
J. Comput. Appl. Math., 2022

Comparative study of <i>L</i><sub>1</sub> regularized logistic regression methods for variable selection.
Commun. Stat. Simul. Comput., 2022

Multilinear Discriminant Analysis using a new family of tensor-tensor products.
CoRR, 2022

Generalized L-product for hight order tensors with applications using GPU computation.
CoRR, 2022

An efficient extended block Arnoldi algorithm for feedback stabilization of incompressible Navier-Stokes flow problems.
CoRR, 2022

2021
Tensor extrapolation methods with applications.
Numer. Algorithms, 2021

The extended global Lanczos method, Gauss-Radau quadrature, and matrix function approximation.
J. Comput. Appl. Math., 2021

A multidimensional principal component analysis via the c-product Golub-Kahan-SVD for classification and face recognition.
CoRR, 2021

Discrete cosine transform LSQR and GMRES methods for multidimensional ill-posed problems.
CoRR, 2021

RBF approximation of three dimensional PDEs using Tensor Krylov subspace methods.
CoRR, 2021

On the tensor nuclear norm and the total variation regularization for image and video completion.
CoRR, 2021

A computational method for model reduction in index-2 dynamical systems for Stokes equations.
Comput. Math. Appl., 2021

2020
Approximate solutions to large nonsymmetric differential Riccati problems with applications to transport theory.
Numer. Linear Algebra Appl., 2020

Special volume on mathematical modeling with applications.
Numer. Algorithms, 2020

Extended nonsymmetric global Lanczos method for matrix function approximation.
Numer. Algorithms, 2020

Golub-Kahan bidiagonalization for ill-conditioned tensor equations with applications.
Numer. Algorithms, 2020

On global iterative schemes based on Hessenberg process for (ill-posed) Sylvester tensor equations.
J. Comput. Appl. Math., 2020

Numerical methods for differential linear matrix equations via Krylov subspace methods.
J. Comput. Appl. Math., 2020

Numerical Analysis and Scientific Computation (NASCA18).
J. Comput. Appl. Math., 2020

A generalized matrix Krylov subspace method for TV regularization.
J. Comput. Appl. Math., 2020

On some tensor tubal-Krylov subspace methods via the T-product.
CoRR, 2020

Tensor Krylov subspace methods via the T-product for color image processing.
CoRR, 2020

Tensor GMRES and Golub-Kahan Bidiagonalization methods via the Einstein product with applications to image and video processing.
CoRR, 2020

The global extended-rational Arnoldi method for matrix function approximation.
CoRR, 2020

2019
Nonlinear Least-Squares Approach for Large-Scale Algebraic Riccati Equations.
SIAM J. Sci. Comput., 2019

GRPIA: a new algorithm for computing interpolation polynomials.
Numer. Algorithms, 2019

A Tangential Block Lanczos Method for Model Reduction of Large-Scale First and Second Order Dynamical Systems.
J. Sci. Comput., 2019

An adaptive block tangential method for multi-input multi-output dynamical systems.
J. Comput. Appl. Math., 2019

On the Golub-Kahan bidiagonalization for ill-posed tensor equations with applications to color image restoration.
CoRR, 2019

A block tangential Lanczos method for model reduction of large-scale first and second order dynamical systems.
CoRR, 2019

2018
Computational Krylov-based methods for large-scale differential Sylvester matrix problems.
Numer. Linear Algebra Appl., 2018

Numerical solutions to large-scale differential Lyapunov matrix equations.
Numer. Algorithms, 2018

A Computational Global Tangential Krylov Subspace Method for Model Reduction of Large-Scale MIMO Dynamical Systems.
J. Sci. Comput., 2018

Conditional Gradient Method for Double-Convex Fractional Programming Matrix Problems.
J. Optim. Theory Appl., 2018

Approximate solutions to large nonsymmetric differential Riccati problems.
CoRR, 2018

2017
A matrix rational Lanczos method for model reduction in large-scale first- and second-order dynamical systems.
Numer. Linear Algebra Appl., 2017

On some properties of the extended block and global Arnoldi methods with applications to model reduction.
Numer. Algorithms, 2017

Global Golub-Kahan bidiagonalization applied to large discrete ill-posed problems.
J. Comput. Appl. Math., 2017

A global rational Arnoldi method for model reduction.
J. Comput. Appl. Math., 2017

2016
An Adaptive Rational Block Lanczos-Type Algorithm for Model Reduction of Large Scale Dynamical Systems.
J. Sci. Comput., 2016

A preconditioned block Arnoldi method for large scale Lyapunov and algebraic Riccati equations.
J. Glob. Optim., 2016

A global Lanczos method for image restoration.
J. Comput. Appl. Math., 2016

2015
Matrix polynomial and epsilon-type extrapolation methods with applications.
Numer. Algorithms, 2015

On some Krylov subspace based methods for large-scale nonsymmetric algebraic Riccati problems.
Comput. Math. Appl., 2015

2014
Conditional gradient Tikhonov method for a convex optimization problem in image restoration.
J. Comput. Appl. Math., 2014

A meshless RBF method for computing a numerical solution of unsteady Burgers'-type equations.
Comput. Math. Appl., 2014

2013
A preconditioned block Arnoldi method for large Sylvester matrix equations.
Numer. Linear Algebra Appl., 2013

2012
A Kronecker approximation with a convex constrained optimization method for blind image restoration.
Optim. Lett., 2012

A generalized global Arnoldi method for ill-posed matrix equations.
J. Comput. Appl. Math., 2012

Inverse problems: Computation and applications.
J. Comput. Appl. Math., 2012

2011
Block Arnoldi-based methods for large scale discrete-time algebraic Riccati equations.
J. Comput. Appl. Math., 2011

Convex constrained optimization for large-scale generalized Sylvester equations.
Comput. Optim. Appl., 2011

2010
A numerical method for one-dimensional diffusion problem using Fourier transform and the B-spline Galerkin method.
Appl. Math. Comput., 2010

2009
Vector extrapolation enhanced TSVD for linear discrete ill-posed problems.
Numer. Algorithms, 2009

2008
A note on the numerical approximate solutions for generalized Sylvester matrix equations with applications.
Appl. Math. Comput., 2008

2007
On block minimal residual methods.
Appl. Math. Lett., 2007

2006
An Arnoldi based algorithm for large algebraic Riccati equations.
Appl. Math. Lett., 2006

Low rank approximate solutions to large Sylvester matrix equations.
Appl. Math. Comput., 2006

Matrix Krylov subspace methods for large scale model reduction problems.
Appl. Math. Comput., 2006

2003
Block Krylov Subspace Methods for Large Algebraic Riccati Equations.
Numer. Algorithms, 2003

2002
Block Krylov Subspace Methods for Solving Large Sylvester Equations.
Numer. Algorithms, 2002

1993
A general projection algorithm for solving systems of linear equations.
Numer. Algorithms, 1993


  Loading...