Risultati della ricerca - distributed evolution (algorithm OR (algorithmsssic OR Algorithmssicssic))

A fast tree algorithm for multi-component coagulation equation di Watanabe, Taichi K., Kataoka, Akimasa

Sommario: “... the time evolution of dust distribution across multiple properties requires numerical computation. However...”
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An efficient solution algorithm for force-driven continuum and rarefied flows di Liu, Shuangqing, Li, Zuoxu, Zhang, Yonghao, Xiao, Tianbai

Sommario: “... to characterize non-equilibrium particle distributions) with a multi-scale evolution model (sourced from...”
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Reproduction of scan B-statistic for kernel change-point detection algorithm di Wang, Zihan

Sommario: “... these samples originate from a different distribution. Ideally, the detection algorithm should be distribution...”
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Bio-inspired learning algorithm for time series using Loewner equation di Shibasaki, Yusuke Kosaka

Sommario: “... to the learning algorithm particularly focusing on its statistical-mechanical aspects. We suggest two simple...”
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Multi-body dynamic evolution sequence-assisted PSO for interval analysis di Wu, Xuanlong, Zhong, Peng, Lin, Weihao

Sommario: “...When the exact probability distribution of input conditions cannot be obtained in practical...”
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Impact of local unfolding fluctuations on the evolution of regional sequence preferences in proteins di Keila Voortman‐Sheetz, James O. Wrabl, Vincent J. Hilser

Sommario: “...Impact of local unfolding fluctuations on the evolution of regional sequence preferences...”
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Continuous optimization by quantum adaptive distribution search di Morimoto, Kohei, Takase, Yusuke, Mitarai, Kosuke, Fujii, Keisuke

Sommario: “...In this paper, we introduce the quantum adaptive distribution search (QuADS), a quantum continuous...”
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Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators di Han, Fuqun, Osher, Stanley, Li, Wuchen

Sommario: “...We present a tensor train (TT) based algorithm designed for sampling from a target distribution...”
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Safety of particle filters: Some results on the time evolution of particle filter estimates di Gerber, Mathieu

Sommario: “...Particle filters (PFs) form a class of Monte Carlo algorithms that propagate over time a set of $N...”
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Towards a theory of out-of-distribution learning di Dey, Jayanta, Geisa, Ali, Mehta, Ronak, Tomita, Tyler M., Helm, Hayden S., Xu, Haoyin, Eaton, Eric, Dick, Jeffery, Priebe, Carey E., Vogelstein, Joshua T.

Sommario: “.... Furthermore, the distribution of each data sample could be either identical and independent (iid) or non-iid...”
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Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression di Miyatake, Yuto, Irie, Kaoru, Matsuda, Takeru

Sommario: “... for the $\log$-$χ^2_1$ distribution, enabling the development of an efficient Gibbs sampling algorithm...”
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Design of quasi phase matching crystal based on differential gray wolf algorithm di Chen, He, Zheng, ZiHua, Sun, JingHua

Sommario: “...: the differential evolution algorithm (DE) is used to realize the global search, and the gray wolf optimization...”
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On the potential of quantum walks for modeling financial return distributions di De Backer, Stijn, Rocha, Luis E. C., Ryckebusch, Jan, Schoors, Koen

Sommario: “.... Return distributions obtained from a model based on the quantum walk algorithm are compared with those...”
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Identifying network topologies via quantum walk distributions di Benedetti, Claudia, Gianani, Ilaria

Sommario: “... to retrieve the topology of a network from the measured probability distribution obtained from the evolution...”
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Tensor networks enable the calculation of turbulence probability distributions di Gourianov, Nikita, Givi, Peyman, Jaksch, Dieter, Pope, Stephen B.

Sommario: “... in memory and perform time-evolution. An alternative is to treat turbulence $\textit{probabilistically...”
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A novel algorithm for GPU-accelerated particle-mesh interactions implemented in the QUOKKA code di He, Chong-Chong, Wibking, Benjamin D., Vijayan, Aditi, Krumholz, Mark R., Li, Pak Shing

Sommario: “... and multiple supernova remnant evolution at varying spatial resolutions. We show that the algorithm achieves...”
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On the spatial distribution of luminous blue variables in the M33 galaxy di Kostenkov, A., Fabrika, S., Kaldybekova, A., Fedorchenko, S., Solovyeva, Y., Dedov, E., Sarkisyan, A., Vinokurov, A., Sholukhova, O.

Sommario: “...In the current paper, we present a study of the spatial distribution of luminous blue variables...”
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Modeling discrete common-shock risks through matrix distributions di Bladt, Martin, Cheung, Eric C. K., Peralta, Oscar, Woo, Jae-Kyung

Sommario: “...We introduce a novel class of bivariate common-shock discrete phase-type (CDPH) distributions...”
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Cooperative nonlinear distributed model predictive control with dissimilar control horizons di Chanfreut, Paula, Maestre, José M., Zhu, Quanyan, Heemels, W. P. M. H.

Sommario: “...In this paper, we introduce a nonlinear distributed model predictive control (DMPC) algorithm...”
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Open-source implementation of distribution network reconfiguration methods: Analysis and comparison di Bohigas-Daranas, Ferran, Gomis-Bellmunt, Oriol, Prieto-Araujo, Eduardo

Sommario: “...This paper presents a critical and practical approach to the evolution of distribution network...”
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