Search Results - distributed evolution (algorithm OR (Algorithmssicsics OR algorithmicsicics))

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

Table of Contents: “… 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 by Liu, Shuangqing, Li, Zuoxu, Zhang, Yonghao, Xiao, Tianbai

Table of Contents: “… 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 by Wang, Zihan

Table of Contents: “… 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 by Shibasaki, Yusuke Kosaka

Table of Contents: “… 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 by Wu, Xuanlong, Zhong, Peng, Lin, Weihao

Table of Contents: “…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 by Keila Voortman‐Sheetz, James O. Wrabl, Vincent J. Hilser

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

Table of Contents: “…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 by Han, Fuqun, Osher, Stanley, Li, Wuchen

Table of Contents: “…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 by Gerber, Mathieu

Table of Contents: “…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 by Dey, Jayanta, Geisa, Ali, Mehta, Ronak, Tomita, Tyler M., Helm, Hayden S., Xu, Haoyin, Eaton, Eric, Dick, Jeffery, Priebe, Carey E., Vogelstein, Joshua T.

Table of Contents: “…. 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 by Miyatake, Yuto, Irie, Kaoru, Matsuda, Takeru

Table of Contents: “… 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 by Chen, He, Zheng, ZiHua, Sun, JingHua

Table of Contents: “…: 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 by De Backer, Stijn, Rocha, Luis E. C., Ryckebusch, Jan, Schoors, Koen

Table of Contents: “…. 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 by Benedetti, Claudia, Gianani, Ilaria

Table of Contents: “… 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 by Gourianov, Nikita, Givi, Peyman, Jaksch, Dieter, Pope, Stephen B.

Table of Contents: “… 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 by He, Chong-Chong, Wibking, Benjamin D., Vijayan, Aditi, Krumholz, Mark R., Li, Pak Shing

Table of Contents: “… 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 by Kostenkov, A., Fabrika, S., Kaldybekova, A., Fedorchenko, S., Solovyeva, Y., Dedov, E., Sarkisyan, A., Vinokurov, A., Sholukhova, O.

Table of Contents: “…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 by Bladt, Martin, Cheung, Eric C. K., Peralta, Oscar, Woo, Jae-Kyung

Table of Contents: “…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 by Chanfreut, Paula, Maestre, José M., Zhu, Quanyan, Heemels, W. P. M. H.

Table of Contents: “…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 by Bohigas-Daranas, Ferran, Gomis-Bellmunt, Oriol, Prieto-Araujo, Eduardo

Table of Contents: “…This paper presents a critical and practical approach to the evolution of distribution network…”
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