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