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检索条件"机构=Program in Applied and Computational Mathematics"
1033 条 记 录,以下是511-520 订阅
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TWO-SAMPLE TEST OF COMMUNITY MEMBERSHIPS OF WEIGHTED STOCHASTIC BLOCK MODELS
arXiv
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arXiv 2018年
作者: Li, Yezheng Li, Hongzhe Program in Applied Mathematics and Computational Science University of Pennsylvania PhiladelphiaPA19104 United States University of Pennsylvania PhiladelphiaPA19104 United States
Suppose two networks are observed for the same set of nodes, where each network is assumed to be generated from a weighted stochastic block model. This paper considers the problem of testing whether the community memb... 详细信息
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Smooth graph signal interpolation for big data
arXiv
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arXiv 2018年
作者: Heimowitz, Ayelet Eldar, Yonina C. Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States Faculty of Math and Computer Science Weizmann Institute of Science Rehovot Israel
In this paper we present the Markov variation, a smoothness measure which offers a probabilistic interpretation of graph signal smoothness. This measure is then used to develop an optimization framework for graph sign... 详细信息
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Robust preconditioning for space-time isogeometric analysis of parabolic evolution problems
arXiv
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arXiv 2018年
作者: Hofer, Christoph Langer, Ulrich Neumüller, Martin Doctoral Program 'Computational Mathematics' Johannes Kepler University Altenbergerstr. 69 LinzA-4040 Austria Institute of Computational Mathematics Johannes Kepler University Altenbergerstr. 69 LinzA-4040 Austria Johann Radon Institute for Computational and Applied Mathematics Austrian Academy of Sciences Altenbergerstr. 69 LinzA-4040 Austria
We propose and investigate new robust preconditioners for space-time Isogeometric Analysis of parabolic evolution problems. These preconditioners are based on a time parallel multigrid method. We consider a decomposit... 详细信息
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Hard convex lens-shaped particles: Characterization of dense disordered packings
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Physical Review E 2019年 第6期100卷 062902-062902页
作者: Giorgio Cinacchi Salvatore Torquato Departamento de Física Teórica de la Materia Condensada Instituto de Física de la Materia Condensada (IFIMAC) Instituto de Ciencias de Materiales “Nicolás Cabrera” Universidad Autónoma de Madrid Ciudad Universitaria de Cantoblanco E-28049 Madrid Spain Department of Chemistry and Department of Physics Institute for the Science and Technology of Materials Program for Applied and Computational Mathematics Princeton University Princeton New Jersey 08544 USA
Among the family of hard convex lens-shaped particles (lenses), the one with aspect ratio equal to 2/3 is “optimal” in the sense that the maximally random jammed (MRJ) packings of such lenses achieve the highest pac... 详细信息
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Volume growth, curvature, and buser-type inequalities in graphs
arXiv
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arXiv 2018年
作者: Benson, Brian Ralli, Peter Tetali, Prasad Department of Mathematics University of California RiversideCA United States Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States School of Mathematics Georgia Institute of Technology AtlantaGA United States
We study the volume growth of metric balls as a function of the radius in discrete spaces, and focus on the relationship between volume growth and discrete curvature. We improve volume growth bounds under a lower boun... 详细信息
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Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics
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Physical Review Letters 2018年 第14期120卷 143001-143001页
作者: Linfeng Zhang Jiequn Han Han Wang Roberto Car Weinan E Department of Mathematics and Program in Applied and Computational Mathematics Princeton University Princeton New Jersey 08544 USA and Center for Data Science Beijing International Center for Mathematical Research Peking University Beijing Institute of Big Data Research Beijing 100871 People’s Republic of China
We introduce a scheme for molecular simulations, the deep potential molecular dynamics (DPMD) method, based on a many-body potential and interatomic forces generated by a carefully crafted deep neural network trained ... 详细信息
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Hyperuniform states of matter
arXiv
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arXiv 2018年
作者: Torquato, Salvatore Department of Chemistry Department of Physics Princeton Institute for the Science and Technology of Materials Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States
Hyperuniform states of matter are correlated systems that are characterized by an anomalous suppression of long-wavelength (i.e., large-length-scale) density fluctuations compared to those found in garden-variety diso... 详细信息
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Regularized matrix data clustering and its application to image analysis
arXiv
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arXiv 2018年
作者: Gao, Xu Shen, Weining Ombao, Hernando Department of Statistics University of California IrvineCA United States Program on Applied Mathematics & Computational Science King Abdullah University of Science and Technology Saudi Arabia
In this paper, we propose a regularized mixture probabilistic model to cluster matrix data and apply it to brain signals. The approach is able to capture the sparsity (low rank, small/zero values) of the original sign... 详细信息
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Neural canonical transformation with symplectic flows
arXiv
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arXiv 2019年
作者: Li, Shuo-Hui Dong, Chen-Xiao Zhang, Linfeng Wang, Lei Institute of Physics Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of Sciences Beijing100190 China Songshan Lake Materials Laboratory Dongguan Guangdong523808 China
Canonical transformation plays a fundamental role in simplifying and solving classical Hamiltonian systems. We construct flexible and powerful canonical transformations as generative models using symplectic neural net... 详细信息
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Factor Analysis for Spectral Estimation
Factor Analysis for Spectral Estimation
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International Conference on Sampling Theory and Applications
作者: Joakim Anden Amit Singer Program in Applied and Computational Mathematics Princeton University Department of Mathematics and Program in Applied and Computational Mathematics Princeton University
Power spectrum estimation is an important tool in many applications, such as the whitening of noise. The popular multitaper method enjoys significant success, but fails for short signals with few samples. We propose a... 详细信息
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