Results 111 to 120 of about 2,786 (218)
Integral equation analysis of complex (M)MIC-structures with optimized system matrix decomposition and novel quadrature techniques [PDF]
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
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An Introduction to Krylov Subspace Methods
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.
openaire +2 more sources
Regularization properties of Krylov subspace methods
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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Adaptive Solution of Infinite Linear Systems by Krylov Subspace Methods [PDF]
In this paper we consider the problem of approximating the solution of infinite linear systems, finitely expressed by a sparse coefficient matrix. We analyze various algorithms based on Krylov subspace methods embedded in an adaptive enlargement scheme ...
Romani, Francesco +3 more
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Approximate Exponential Integrators for Time-Dependent Equation-of-Motion Coupled Cluster Theory. [PDF]
Williams-Young DB +3 more
europepmc +1 more source
Keywords: secant methods, Krylov subspace methods, nonlinear equations, Newton's method, Broydcn's method AMS(MOS) subject classification: 3504, 35Q35, 35M10 ...
Fast Krylov-Secant Methods +7 more
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Krylov subspace methods for computing hydrodynamic interactions in brownian dynamics simulations. [PDF]
Ando T, Chow E, Saad Y, Skolnick J.
europepmc +1 more source
Equivalence between the combined approximations technique and Krylov subspace methods
The objective of this Note is to examine the equivalence between the CA technique and Krylov subspace methods. It is shown that the CA technique is a preconditioned Krylov subspace method.
Nair, Prasanth B.
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Introduction Fractional differential equations (FDEs) have attracted much attention and have been widely used in the fields of finance, physics, image processing, and biology, etc.
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Fast sampling from a Gaussian Markov random field using Krylov subspace approaches
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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