Results 141 to 150 of about 14,496,760 (259)
Fast sampling from a Gaussian Markov random field using Krylov subspace approaches [PDF]
, 2008 Many applications in spatial statistics, geostatistics and image analysis require efficient techniques for sampling from large Gaussian Markov random fields (GMRFs).
Simpson, Daniel P. +2 more
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Connecting randomized iterative methods with Krylov subspaces
CoRRRandomized iterative methods, such as the randomized Kaczmarz method, have gained significant attention for solving large-scale linear systems due to their simplicity and efficiency. Meanwhile, Krylov subspace methods have emerged as a powerful class of algorithms, known for their robust theoretical foundations and rapid convergence properties. Despite
Yonghan Sun, Deren Han, Jiaxin Xie
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Integral equation analysis of complex (M)MIC-structures with optimized system matrix decomposition and novel quadrature techniques [PDF]
Advances in Radio Science, 2004 Using integral equation methods for the analysis of complex (M)MIC structures, the computation and storage effort for the solution of the linear systems of equations with their fully populated matrices still forms the main bottleneck.
T. Vaupel, V. Hansen
doaj
An Introduction to Krylov Subspace Methods
, 2018 Nowadays, many fields of study are have to deal with large and sparse data matrixes, but the most important issue is finding the inverse of these matrixes. Thankfully, Krylov subspace methods can be used in solving these types of problem. However, it is difficult to understand mathematical principles behind these methods.
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Forecasting linear dynamical systems using subspace methods [PDF]
A new procedure to predict with subspace methods is presented in this paper. It is based on combining multiple forecasts obtained from setting a range of values for a specic parameter that is typically xed by the user in the subspace methods literature ...
Alfredo García-Hiernaux
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Information Retrieval Using Krylov Subspace Methods
, 2004 In this dissertation we discuss how simple Krylov subspace methods can be used for information retrieval (IR). The dissertation consists of two parts.
Blom, Katarina
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Krylov subspace methods for computing hydrodynamic interactions in brownian dynamics simulations. [PDF]
J Chem Phys, 2012 Ando T, Chow E, Saad Y, Skolnick J.
europepmc +1 more source
Regularization properties of Krylov subspace methods
, 2019 The aim of this thesis is to study and describe regularizing properties of iterative Krylov subspace methods for finding a solution of linear algebraic ill- posed problems contaminated by white noise. First we explain properties of this kind of problems,
Kučerová, Andrea
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Deflated Krylov Subspace Methods for Nearly Singular Linear Systems
, 1987 This paper concerns the use of Krylov subspace methods for the solution of nearly singular nonsymmetric linear systems. We show that the Incomplete Orthogonalization Methods (IOM) in conjunction with certain deflation techniques of Stewart and Chan can ...
Symes, W.W., Meza,Juan Camilo
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Fault tolerance in Krylov subspace methods [PDF]
The increasing complexity of modern high-performance computing (HPC) systems, with their vast number of processing units and extensive memory hierarchies, introduces significant challenges to system resilience, particularly in the face of soft errors ...
Pandit, Sandesh
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