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Saeed Karimi

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Saeed Karimi
Name Saeed Karimi
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Degree Ph.D
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Email
 TitleJournal
1
Tensor splitting preconditioners for multilinear systems
Journal of Mathematical Modeling 12 (2024) 481–499
2
GIBS: a general and efficient iterative method for computing the approximate inverse and Moore–Penrose inverse of sparse matrices based on the Schultz iterative method with applications
LINEAR and MULTILINEAR ALGEBRA 1 (2022) 1-18
3
DIRECT IMPLEMENTATION OF TIKHONOV REGULARIZATION FOR THE FIRST KIND INTEGRAL EQUATION
JOURNAL OF COMPUTATIONAL MATHEMATICS 40 (2022) 337-355
4
A New Block-Diagonal Preconditioner for a Class of 3 × 3 Block Saddle Point Problems
Mediterranean Journal of Mathematics 19 (2022) ---
5
A gradient based iterative method and associated preconditioning technique for solving the large multilinear systems
CALCOLO 58 (2021) 15
6
A fast and efficient Newton-Shultz-type iterative method for computing inverse and Moore-Penrose inverse of tensors
Journal of Mathematical Modeling 9 (2021) 20
7
A rapid and powerful iterative method for computing inverses of sparse tensors with applications
APPLIED MATHEMATICS AND COMPUTATION 415 (2021) 14
8
A combining method for the approximate solution of spatial segregation limit of reaction-diffusion systems
COMPUTATIONAL METHODS FOR DIFFERENTIAL EQUATIONS (2020) ،
9
Extended conjugate gradient squared and conjugate residual squared methods for solving the generalized coupled Sylvester tensor equations
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2020) ،
10
An iterative method to compute minimum norm solutions of ill-posed problems in Hilbert spaces
AFRIKA MATEMATIKA (2019) ،
11
Weighted conjugate gradient type method for solving quadrature discretizatiion of Fredholhm integral equations of the first kind
Bulletin of the Iranian Mathematical Society (2018) ،
12
ON A SPLITTING PRECONDITIONER FOR SADDLE POINT PROBLEMS
International Journal of Applied Mathematics and Computer Science (2018) ،
13
ON A SPLITTING PRECONDITIONER FOR SADDLE POINT PROBLEMS
Journal of Applied Mathematics and Informatics (2018) ،
14
Global least squares method based on tensor form to solve linear systems in Kronecker format
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2017) ،
15
A weighted singular value decomposition for inverse problems
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS (2017) ،
16
Degenerate kernel approximation method for solving Hammerstein system of Fredholm integral equations of the second kind
Journal of Mathematical Modeling (2016) ،
17
integral equations systemA new iteration method for solving a class of Hammerstein type
COMPUTATIONAL METHODS FOR DIFFERENTIAL EQUATIONS (2016) ،
18
The right –left preconditioning technique for the solution of the large matrix equation AXB=C
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS (2015) ،
19
A general iterative approach for solving the general constrained linear matrix equations system
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2015) ،
20
NUMERICAL SOLUTION OF THE SYSTEM OF LINEAR FREDHOLM INTEGRAL EQUATIONS BASED ON DEGENERATING KERNELS
TWMS JOURNAL OF PURE AND APPLIED MATHEMATICS (2015) ،
21
Global least squares solution of matrix equation sP j=1 A jXjBj = E
Journal of Mathematical Modeling (2015) ،
22
The block preconditioned LSQR and GL-LSQR algorithms for the block partitioned matrices
APPLIED MATHEMATICS AND COMPUTATION (2014) ،
23
A new iterative method for solving linear Fredholm integral equations using the least squares method
APPLIED MATHEMATICS AND COMPUTATION (2014) ،
24
Global conjugate gradient method for solving large general Sylvester matrix equation
Journal of Mathematical Modeling (2013) ،
25
On the convergence of the Bl-LSQR algorithm for solving matrix equations
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS (2011) ،
26
A parallel algorithm to approximate inverse factors of a matrix via sparse–sparse iterations
APPLIED MATHEMATICS AND COMPUTATION (2006) 782،792
27
The block least squares method for solving nonsymmetric linear systems with multiple right-hand sides
APPLIED MATHEMATICS AND COMPUTATION (2006) ،
28
Global least squares method (Gl-LSQR) for solving general linear systems with several right-hand sides
APPLIED MATHEMATICS AND COMPUTATION (2006) ،