Research Management System | Persian Gulf University | Saeed Karimi

Name	Saeed Karimi
Affiliation	—
Degree	Ph.D
Website	—
Email	karimi [at] pgu [dot] ac [dot] ir

	Title	Journal
1	An iterative method for solving the generalized total least squares problem	Journal of Mathematical Modeling 13 (2025) 573-592
2	An iterative method for solving the constrained tensor equations with the Einstein product	JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 362 (2025) 18
3	Tensor splitting preconditioners for multilinear systems	Journal of Mathematical Modeling 12 (2024) 481–499
4	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
5	DIRECT IMPLEMENTATION OF TIKHONOV REGULARIZATION FOR THE FIRST KIND INTEGRAL EQUATION	JOURNAL OF COMPUTATIONAL MATHEMATICS 40 (2022) 337-355
6	A New Block-Diagonal Preconditioner for a Class of 3 × 3 Block Saddle Point Problems	Mediterranean Journal of Mathematics 19 (2022) ---
7	A gradient based iterative method and associated preconditioning technique for solving the large multilinear systems	CALCOLO 58 (2021) 15
8	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
9	A rapid and powerful iterative method for computing inverses of sparse tensors with applications	APPLIED MATHEMATICS AND COMPUTATION 415 (2021) 14
10	A combining method for the approximate solution of spatial segregation limit of reaction-diffusion systems	COMPUTATIONAL METHODS FOR DIFFERENTIAL EQUATIONS (2020) ،
11	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) ،
12	An iterative method to compute minimum norm solutions of ill-posed problems in Hilbert spaces	AFRIKA MATEMATIKA (2019) ،
13	Weighted conjugate gradient type method for solving quadrature discretizatiion of Fredholhm integral equations of the first kind	Bulletin of the Iranian Mathematical Society (2018) ،
14	ON A SPLITTING PRECONDITIONER FOR SADDLE POINT PROBLEMS	International Journal of Applied Mathematics and Computer Science (2018) ،
15	ON A SPLITTING PRECONDITIONER FOR SADDLE POINT PROBLEMS	Journal of Applied Mathematics and Informatics (2018) ،
16	Global least squares method based on tensor form to solve linear systems in Kronecker format	TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2017) ،
17	A weighted singular value decomposition for inverse problems	NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS (2017) ،
18	Degenerate kernel approximation method for solving Hammerstein system of Fredholm integral equations of the second kind	Journal of Mathematical Modeling (2016) ،
19	integral equations systemA new iteration method for solving a class of Hammerstein type	COMPUTATIONAL METHODS FOR DIFFERENTIAL EQUATIONS (2016) ،
20	The right –left preconditioning technique for the solution of the large matrix equation AXB=C	INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS (2015) ،
21	A general iterative approach for solving the general constrained linear matrix equations system	TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2015) ،
22	NUMERICAL SOLUTION OF THE SYSTEM OF LINEAR FREDHOLM INTEGRAL EQUATIONS BASED ON DEGENERATING KERNELS	TWMS JOURNAL OF PURE AND APPLIED MATHEMATICS (2015) ،
23	Global least squares solution of matrix equation sP j=1 A jXjBj = E	Journal of Mathematical Modeling (2015) ،
24	The block preconditioned LSQR and GL-LSQR algorithms for the block partitioned matrices	APPLIED MATHEMATICS AND COMPUTATION (2014) ،
25	A new iterative method for solving linear Fredholm integral equations using the least squares method	APPLIED MATHEMATICS AND COMPUTATION (2014) ،
26	Global conjugate gradient method for solving large general Sylvester matrix equation	Journal of Mathematical Modeling (2013) ،
27	On the convergence of the Bl-LSQR algorithm for solving matrix equations	INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS (2011) ،
28	A parallel algorithm to approximate inverse factors of a matrix via sparse–sparse iterations	APPLIED MATHEMATICS AND COMPUTATION (2006) 782،792
29	The block least squares method for solving nonsymmetric linear systems with multiple right-hand sides	APPLIED MATHEMATICS AND COMPUTATION (2006) ،
30	Global least squares method (Gl-LSQR) for solving general linear systems with several right-hand sides	APPLIED MATHEMATICS AND COMPUTATION (2006) ،