Results 11 to 20 of about 285,904 (328)
Linear Convergence Rate of Splitting Algorithms for Multi-Block Constrained Convex Minimizations
Multi-block linear constrained separable convex minimizations are ubiquitous and have been drawing increasing attention in recent researches. The alternating direction method of multipliers (ADMM) has been well studied and used in the literature for the ...
Xiaoge Deng, Feng Liu, Feng Huang
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Collision-aware distributed detection with population-splitting algorithms
We consider the design of distributed detection algorithms for single-hop, single-channel wireless sensor networks in which sensor nodes send their local decisions to a fusion center (FC) by using a random access protocol.
Seksan Laitrakun
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Constructing benchmark test sets for biological sequence analysis using independent set algorithms.
Biological sequence families contain many sequences that are very similar to each other because they are related by evolution, so the strategy for splitting data into separate training and test sets is a nontrivial choice in benchmarking sequence ...
Samantha Petti, Sean R Eddy
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With the increasing computational facilities and data availability, machine learning (ML) models are gaining wide attention in landslide modeling.
Minu Treesa Abraham +4 more
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A two-sweep shift-splitting iterative method for complex symmetric linear systems
Recently, Chen and Ma [21] constructed the generalized shift-splitting (GSS) preconditioner, and gave the corresponding theoretical analysis and numerical experiments.
Li-Tao Zhang +5 more
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Field-Split Preconditioned Inexact Newton Algorithms [PDF]
Summary: The multiplicative Schwarz preconditioned inexact Newton (MSPIN) algorithm is presented as a complement to additive Schwarz preconditioned inexact Newton (ASPIN). At an algebraic level, ASPIN and MSPIN are variants of the same strategy to improve the convergence of systems with unbalanced nonlinearities; however, they have natural ...
Liu, Lulu, Keyes, David E.
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A Note on the Construction of Explicit Symplectic Integrators for Schwarzschild Spacetimes
In recent publications, the construction of explicit symplectic integrators for Schwarzschild- and Kerr-type spacetimes is based on splitting and composition methods for numerical integrations of Hamiltonians or time-transformed Hamiltonians associated ...
Naying Zhou +3 more
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A new generalized shift-splitting method for nonsymmetric saddle point problems
Recently, Huang and Huang [ Journal of Computational and Applied Mathematics , 328 (2018) 381–399] proposed a modified generalized shift-splitting preconditioned (denoted by MGSSP) method for solving large sparse saddle point problems, and gave the ...
Tao Wei, Li-Tao Zhang
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Stochastic split determinant algorithms [PDF]
LATTICE99 (Algorithms), 3 ...
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Splitting and combination are two important events of group target motion. However, the existing tracking approaches for group target splitting and combination events suffer the problems of high-computational cost and low accuracy.
Linhai Gan, Gang Wang
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