Results 21 to 30 of about 132,832 (312)
Finite-Difference Operators for 2D problems [PDF]
This paper presents the concept of using algorithms for reducing the dimensions of finite-difference equations of two-dimensional (2D) problems, for second-order partial differential equations.
T. Sobczyk
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Systolic preconditioning algorithms for the iterative solution of sparse linear systems [PDF]
Systolic algorithms for preconditioned iterative procedures are described and discussed in relation to existing systolic arrays for iterative methods applied to the systems of linear equations arising from the solution of partial differential equations ...
Megson, G.M., Evans, D.J.
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The article is devoted to the research and development of a highly available distributed automated computing system by iterative algorithms based on the microservice architecture in a cloud infrastructure.
Denis Zolotariov
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Iterative thresholding for sparse approximations [PDF]
Sparse signal expansions represent or approximate a signal using a small number of elements from a large collection of elementary waveforms. Finding the optimal sparse expansion is known to be NP hard in general and non-optimal strategies such as ...
Blumensath, T. +3 more
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Exploiting sparsity in the image gradient magnitude has proved to be an effective means for reducing the sampling rate in the projection view angle in computed tomography (CT).
Emil Y. Sidky +3 more
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Iterative Algorithms for General Multivalued Variational Inequalities
We introduce and study some new classes of variational inequalities and the Wiener-Hopf equations. Using essentially the projection technique, we establish the equivalence between these problems.
Yonghong Yao +3 more
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Fast iterative algorithms for birefringent filter design [PDF]
Fast iterative algorithms for designing birefringent filters with any specified spectral response are proposed. From the Jones formalism, we derive two polynomials representing the transmitted and rejected response of the filter, respectively.
Abdelhak Boukharouba
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Topological Value Iteration Algorithms
Value iteration is a powerful yet inefficient algorithm for Markov decision processes (MDPs) because it puts the majority of its effort into backing up the entire state space, which turns out to be unnecessary in many cases. In order to overcome this problem, many approaches have been proposed.
Peng Dai 0001 +3 more
openaire +4 more sources
Iterative algorithms with seminorm-induced oblique projections
A definition of oblique projections onto closed convex sets that use seminorms induced by diagonal matrices which may have zeros on the diagonal is introduced.
Yair Censor, Tommy Elfving
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Performance and design of a reduced complexity iterative equalizer for precoded ISI channels [PDF]
The paper considers the performance and design of a reduced complexity iterative equalizer, for a system including a rate one recursive channel precoder.
Nix, AR +5 more
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