Results 21 to 30 of about 92,985 (260)
Skeletons for distributed topological computation [PDF]
Parallel implementation of topological algorithms is highly desirable, but the challenges, from reconstructing algorithms around independent threads through to runtime load balancing, have proven to be formidable. This problem, made all the more acute by the diversity of hardware platforms, has led to new kinds of implementation platform for ...
Duke, DJ, Hosseini, F
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The Yaroslavl International Conference on Discrete Geometry dedicated to the centenary of A. D. Alexandrov was organized by the International B.N. Delaunay Laboratory "Discrete and Computational Geometry" and took place from August 13 to 18, 2012 at the ...
N. Dolbilin +4 more
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Topological Signature of 19th Century Novelists: Persistent Homology in Text Mining
Topological Data Analysis (TDA) refers to a collection of methods that find the structure of shapes in data. Although recently, TDA methods have been used in many areas of data mining, it has not been widely applied to text mining tasks.
Shafie Gholizadeh +2 more
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Topology of the mesoscale connectome of the mouse brain
The wiring diagram of the mouse brain has recently been mapped at a mesoscopic scale in the Allen Mouse Brain Connectivity Atlas. Axonal projections from brain regions were traced using green fluoresent proteins.
Grange Pascal
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The adjoint method is a very promising gradient-based optimisation framework for computational fluid dynamics (CFD), because of its independence of the computation cost from the number of design variables.
Mirza Popovac
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Deep Learning-Based Accuracy Upgrade of Reduced Order Models in Topology Optimization
Topology optimization problems pose substantial requirements in computing resources, which become prohibitive in cases of large-scale design domains discretized with fine finite element meshes.
Nikos Ath. Kallioras +2 more
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HiTop 2.0: combining topology optimisation with multiple feature size controls and human preferences
Topology optimisation is a computational design approach that generates high-performing, efficient structures uniquely suited to a design engineer’s goal.
Gillian Schiffer +2 more
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Enhancing Firefly Algorithm with Dual-Population Topology Coevolution
The firefly algorithm (FA) is a meta-heuristic swarm intelligence optimization algorithm. It simulates the social behavior of fireflies with their flash and attraction characteristics.
Wei Li, Wangdong Li, Ying Huang
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This paper addresses the problem of resilient average consensus in the presence of Byzantine agents in multi-agent networks. An event-triggered secure acceptance and broadcasting algorithm is proposed in which full knowledge of the network and high ...
Peng Zhang +4 more
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Current Open Problems in Discrete and Computational Geometry
We have selected problems that may not yet be well known, but have the potential to push the research in interesting directions. In particular, we state problems that do not require specific knowledge outside the standard circle of ideas in discrete ...
H. Edelsbrunner, A. Ivanov, R. Karasev
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