Suchergebnisse - Approximate inverse matrix algorithms

Optimal server resource reservation policies for priority classes of users under cyclic non-homogeneous markov modeling von Koutras, V.P., Platis, A.N., Gravvanis, G.A.

“… Resource availability optimization is studied on a server–client system where different users are partitioned into priority classes. The aim is to provide …”
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A parallel algorithm to approximate inverse factors of a matrix via sparse–sparse iterations von Salkuyeh, Davod Khojasteh, Karimi, Saeed, Toutounian, Faezeh

“… ], the authors proposed the BAIB algorithm to approximate inverse factors of a matrix. In this paper a parallel version of the BAIB algorithm is presented …”
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Parallel multigrid algorithms based on generic approximate sparse inverses: an SMP approach von Filelis-Papadopoulos, Christos K., Gravvanis, George A.

“… ) threads, for multicore systems. Parallelization of the Generic Approximate Sparse Inverse Matrix (GenAspI …”
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Finite Element Approximate Inverse Preconditioning for solving 3D Biharmonic Problems on Shared Memory Systems von Gravvanis, G A, Giannoutakis, K M

“… Additionally, parallel approximate inverse matrix algorithms are introduced for the efficient solution of sparse linear systems, based on an anti-diagonal computational approach that eliminates the data dependencies …”
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Regularization of inverse problems by an approximate matrix-function technique von Cipolla, Stefano, Donatelli, Marco, Durastante, Fabio

“… In this work, we introduce and investigate a class of matrix-free regularization techniques for discrete linear ill-posed problems based on the approximate computation of a special matrix-function …”
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An iterative method for computing the approximate inverse of a square matrix and the Moore–Penrose inverse of a non-square matrix von Toutounian, F., Soleymani, F.

“… Based on this iterative scheme, we propose the main contribution of this paper as a new high-order computational algorithm for finding an approximate inverse of a square matrix …”
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On the performance of parallel approximate inverse preconditioning using Java multithreading techniques von Gravvanis, George A., Epitropou, Victor N., Giannoutakis, Konstantinos M.

“… on symmetric multiprocessor systems. A new parallel algorithm for computing a class of optimized approximate inverse matrix is introduced …”
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Sparse approximate inverse preconditioned CG-FFT algorithm with block toeplitz matrix for fast analysis of microstrip circuits von Chen, R. S., Tsang, K. F., Yung, Edward K. N.

“… ‐FFT algorithm with this Sparse Approximate Inverse preconditioner can converge hundreds of times faster than the conventional one for the analysis of microstrip …”
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Software rejuvenation and resource reservation policies for optimizing server resource availability using cyclic nonhomogeneous Markov chains von Koutras, V. P., Platis, A. N., Gravvanis, G. A.

“… Software rejuvenation is modeled in a client–server system, which provides resources to priority classes of users. To assure availability, resource reservation …”
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Parallel imaging reconstruction for arbitrary trajectories using k-space sparse matrices (kSPA) von Liu, Chunlei, Bammer, Roland, Moseley, Michael E.

“… of the development of several effective parallel imaging reconstruction algorithms. Despite the success of these algorithms, it remains a challenge in many applications to rapidly and reliably reconstruct an image from partially …”
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A Two-Phase Cyclic Nonhomogeneous Markov Chain Performability Evaluation by Explicit Approximate Inverses Applied to a Replicated Database System von Platis, A. N., Gravvanis, G. A., Giannoutakis, K. M., Lipitakis, E. A.

“… of efficient computational methods by using explicit approximate inverse preconditioning methods.[PUBLICATION ABSTRACT] …”
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A Scalable $O(N)$ Algorithm for Large-Scale Parallel First-Principles Molecular Dynamics Simulations von Osei-Kuffuor, Daniel, Fattebert, Jean-Luc

“… We present a scalable algorithm for approximately computing selected entries of the inverse of the overlap matrix, based on an approximate inverse technique, by inverting local blocks …”
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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 von Khosravi Dehdezi, Eisa, Karimi, Saeed

“… In this paper, an algorithm is proposed to compute the inverse of an invertible matrix …”
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On the Numerical Modeling and Solution of a Time Harmonic 3D Wave Equation by Explicit Approximate Inverse Preconditioning von Karamouta, A., Filelis-Papadopoulos, C.K., Gravvanis, G.A., Chryssomallis, M.T.

“… Explicit Preconditioned Biconjugate gradient methods, based on approximate inverse are used for the evaluation of the field distributions inside an electromagnetic cavity resonator …”
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Successive matrix squaring algorithm for computing outer inverses von STANIMIROVIC, Predrag S, CVETKOVIC-ILIC, Dragana S

“… In this paper, we derive a successive matrix squaring (SMS) algorithm to approximate an outer generalized inverse with prescribed range and null space of a given matrix A ∈ C r m × n …”
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High Performance Inverse Preconditioning von Gravvanis, George A.

“… In this paper we present an overview on the design issues of parallel approximate inverse matrix algorithms, based on an anti-diagonal “wave pattern” approach and a “fish-bone …”
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An iterative method for computing the approximate inverse of a square matrix and the MooreaPenrose inverse of a non-square matrix von Toutounian, F, Soleymani, F

“… Based on this iterative scheme, we propose the main contribution of this paper as a new high-order computational algorithm for finding an approximate inverse of a square matrix …”
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On the GPGPU parallelization issues of finite element approximate inverse preconditioning von Filelis-Papadopoulos, C.K., Gravvanis, G.A., Matskanidis, P.I., Giannoutakis, K.M.

“… The effectiveness of explicit approximate inverse preconditioning schemes relies on the use of efficient preconditioners that are close approximants to the coefficient matrix and are fast to compute in parallel …”
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Multilevel approaches for FSAI preconditioning von Magri, Victor A. P., Franceschini, Andrea, Ferronato, Massimiliano, Janna, Carlo

“… Summary Factorized sparse approximate inverse (FSAI) preconditioners are robust algorithms for symmetric positive matrices, which are particularly attractive …”
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An improved precoding of Approximative Matrix Inverse Computations based on norm minimization algorithm in massive MIMO system von Hongliu Tu, Yanjun Hu, Yaohua Xu, Fengrong Li

“… Approximative Matrix Inverse Computations (AMIC) algorithm is a kind of low-complexity precoding for large multiuser MIMO systems, but the Bite Error Rate (BER …”
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