Results 31 to 40 of about 564,243 (186)
Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography
Iterative image reconstruction algorithms for optoacoustic tomography (OAT), also known as photoacoustic tomography, have the ability to improve image quality over analytic algorithms due to their ability to incorporate accurate models of the imaging ...
Alexander A Oraevsky +9 more
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State determination: An iterative algorithm [PDF]
11 pages 3 ...
Goyeneche, Dardo M. +1 more
openaire +2 more sources
A Novel Kernel-Based Regularization Technique for PET Image Reconstruction
Positron emission tomography (PET) is an imaging technique that generates 3D detail of physiological processes at the cellular level. The technique requires a radioactive tracer, which decays and releases a positron that collides with an electron ...
Abdelwahhab Boudjelal +2 more
doaj +1 more source
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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Parallel extragradient-proximal methods for split equilibrium problems [PDF]
In this paper, we introduce two parallel extragradient-proximal methods for solving split equilibrium problems. The algorithms combine the extragradient method, the proximal method and the hybrid (outer approximation) method.
Van Hieu, Dang
core +4 more sources
Improved algorithm for periodic steady-state analysis in nonlinear electromagnetic devices [PDF]
This paper presents the improved methodology for the direct calculation of steady-state periodic solutions for electromagnetic devices, as described by nonlinear differential equations, in the time domain.
T.J. Sobczyk, M. Radzik
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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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There has been significant interest and progress recently in algorithms that solve regression problems involving tall and thin matrices in input sparsity time.
Li, Mu, Miller, Gary L., Peng, Richard
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Parameter-independent Iterative Approximate Byzantine Consensus [PDF]
In this work, we explore iterative approximate Byzantine consensus algorithms that do not make explicit use of the global parameter of the graph, i.e., the upper-bound on the number of faults ...
Tseng, Lewis, Vaidya, Nitin H.
core +1 more source
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.
Dai, P. +3 more
openaire +3 more sources

