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检索条件"机构=Graduate Program in Applied Mathematics and Computational Science"
916 条 记 录,以下是151-160 订阅
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Lipid Microdomains: Structural Correlations, Fluctuations, and Formation Mechanisms
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Physical Review Letters 2010年 第11期104卷 118101-118101页
作者: Jun Fan Maria Sammalkorpi Mikko Haataja Department of Mechanical and Aerospace Engineering Princeton Institute for the Science and Technology of Materials (PRISM) Program in Applied and Computational Mathematics (PACM) Princeton University Princeton New Jersey 08544 USA
Compositional lipid microdomains (“lipid rafts”) in mammalian plasma membranes are believed to facilitate many important cellular processes. While several physically distinct scenarios predicting the presence of fin... 详细信息
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Critical dynamics in multicomponent lipid membranes
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Physical Review E 2009年 第2期80卷 020902(R)-020902(R)页
作者: Mikko Haataja Department of Mechanical and Aerospace Engineering Princeton Institute for the Science and Technology of Materials (PRISM) and Program in Applied and Computational Mathematics (PACM) Princeton University Princeton New Jersey 08544 USA
The formation and dynamics of spatially extended compositional domains in multicomponent lipid membranes both in vivo and in vitro lie at the heart of many important biological and biophysical phenomena. While the the... 详细信息
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Radiative transport for two-photon light
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Physical Review A 2014年 第3期90卷 033815-033815页
作者: Vadim A. Markel John C. Schotland Department of Radiology Department of Bioengineering and Graduate Group in Applied Mathematics and Computational Science University of Pennsylvania Philadelphia Pennsylvania 19104 USA Department of Mathematics and Department of Physics University of Michigan Ann Arbor Michigan 48109 USA
We consider the propagation of two-photon light in a random medium. We show that the Wigner transform of the two-photon amplitude obeys an equation that is analogous to the radiative transport equation for classical l... 详细信息
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Deterministic guarantees for Burer–Monteiro factorizations of smooth semidefinite programs
arXiv
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arXiv 2018年
作者: Boumal, Nicolas Voroninski, Vladislav Bandeira, Afonso S. Mathematics Department Program in Applied and Computational Mathematics Princeton University Department of Mathematics Center for Data Science Courant Institute of Mathematical Sciences New York University
We consider semidefinite programs (SDPs) with equality constraints. The variable to be optimized is a positive semidefinite matrix X of size n. Following the Burer–Monteiro approach, we optimize a factor Y of size n&... 详细信息
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Parsimonious reconstruction of network evolution
Parsimonious reconstruction of network evolution
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Lecture Notes in Computer science
作者: Patro, Rob Sefer, Emre Malin, Justin Marçais, Guillaume Navlakha, Saket Kingsford, Carl Center for Bioinformatics and Computational Biology University of Maryland College Park MD 20742 United States Department of Computer Science University of Maryland College Park MD 20742 United States Computational Biology Bioinformatics and Genomics Concentration Biological Sciences Graduate Program University of Maryland College Park MD 20742 United States Program in Applied Mathematics Statistics and Scientific Computation University of Maryland College Park MD 20742 United States School of Computer Science Carnegie Mellon University Pittsburgh PA 15213 United States
We consider the problem of reconstructing a maximally parsimonious history of network evolution under models that support gene duplication and loss and independent interaction gain and loss. We introduce a combinatori... 详细信息
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Convergence acceleration of ensemble Kalman inversion in nonlinear settings
arXiv
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arXiv 2019年
作者: Chada, Neil K. Tong, Xin T. Applied Mathematics and Computational Science Program King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia Department of Mathematics National University of Singapore 119077 Singapore
Many data-science problems can be formulated as an inverse problem, where the parameters are estimated by minimizing a proper loss function. When complicated black-box models are involved, derivative-free optimization... 详细信息
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Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data
arXiv
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arXiv 2022年
作者: Dai, Zongyu Bu, Zhiqi Long, Qi Graduate Group in Applied Mathematics and Computational Science University of Pennsylvania United States Division of Biostatistics University of Pennsylvania United States
Missing data are ubiquitous in real world applications and, if not adequately handled, may lead to the loss of information and biased findings in downstream analysis. Particularly, high-dimensional incomplete data wit... 详细信息
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An improved model of damage depth of shock-melted metal in microspall under triangular wave loading
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Chinese Physics B 2021年 第9期30卷 412-418页
作者: Wen-Bin Liu An-Min He Kun Wang Jian-Ting Xin Jian-Li Shao Nan-Sheng Liu Pei Wang Department of Modern Mechanics University of Science and Technology of ChinaHefei 230027China Institute of Applied Physics and Computational Mathematics Beijing 100094China Graduate School of China Academy of Engineering Physics Beijing 100088China College of Materials Science and Engineering Hunan UniversityChangsha 410082China Science and Technology on Plasma Physics Laboratory Research Center of Laser FusionChina Academy of Engineering PhysicsMianyang 621900China State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China Center for Applied Physics and Technology Peking UniversityBeijing 100871China
Damage depth is an important dynamic parameter for describing the degree of material damage and is also a key fundamental issue in the field of impact compression *** present work is dedicated to the damage depth of s... 详细信息
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Distributed linear regression by averaging
arXiv
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arXiv 2018年
作者: Dobriban, Edgar Sheng, Yue Wharton Statistics Department University of Pennsylvania United States Graduate Group in Applied Mathematics and Computational Science Department of Mathematics University of Pennsylvania United States
Distributed statistical learning problems arise commonly when dealing with large datasets. In this setup, datasets are partitioned over machines, which compute locally, and communicate short messages. Communication is... 详细信息
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Executive Summary of Dagstuhl Seminar on Structured Decompositions and Efficient Algorithms (08492)
Executive Summary of Dagstuhl Seminar on Structured Decompos...
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Structured Decompositions and Efficient Algorithms 2008
作者: Dahlke, Stephan Daubechies, Ingrid Elad, M. Kutyniok, Gitta Teschke, Gerd Philipps-Universität Marburg FB12 Mathematik und Informatik Hans-Meerwein Straße Lahnberge Marburg35032 Germany Princeton University Program in Applied and Computational Mathematics Fine Hall Washington Road PrincetonNJ08544-1000 United States Technion Computer Science Department Haifa Technion City32000 Israel Universität Osnabrück Institute of Mathematics Osnabrück49069 Germany Hochschule Neubrandenburg University of Applied Sciences Institute for Computational Mathematics in Science and Technology Brodaer Str. 2 Neubrandenburg17033 Germany
New emerging technologies such as high-precision sensors or new MRI machines drive us towards a challenging quest for new, more effective, and more daring mathematical models and algorithms. Therefore, in the last few... 详细信息
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