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检索条件"机构=Program for Applied Mathematics"
2194 条 记 录,以下是21-30 订阅
排序:
The Elastic Continuum Limit of the Tight Binding Model
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Chinese Annals of mathematics,Series B 2007年 第6期28卷 665-676页
作者: Weinan E Jianfeng LU Department of Mathematics and Program in Applied and Computational Mathematics Princeton University Princeton NJ 08544 USA Program in Applied and Computational Mathematics Princeton University Princeton NJ 08544 USA
The authors consider the simplest quantum mechanics model of solids, the tight binding model, and prove that in the continuum limit, the energy of tight binding model converges to that of the continuum elasticity mode... 详细信息
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Boundary Layer Theory and the Zero-Viscosity Limit of the Navier-Stokes Equation
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Acta Mathematica Sinica,English Series 2000年 第2期16卷 207-218页
作者: Weinan E Department of mathematics and program in applied and Computational mathematics,Princeton University,USA Department of Mathematics and Program in Applied and Computational Mathematics Princeton University Princeton USA
A central problem in the mathematical analysis of fluid dynamics is the asymptotic limit of the fluid flow as viscosity goes to *** is particularly important when boundaries are present since vorticitv is typically ge... 详细信息
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Effect of the block-spin configuration on the location of beta(c) in two-dimensional Ising models
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JOURNAL OF STATISTICAL PHYSICS 1997年 第5-6期86卷 1109-1115页
作者: OuldLemrabott, M Program in Applied Mathematics University of Arizona Tucson
We consider the nearest neighbor Ising model on the 2D square lattice and divide the lattice into 2 by 2 blocks. Each block is assigned one spin value (1 or -1) and these block spin values are kept fixed. We then impo... 详细信息
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Effective Dimension Aware Fractional-Order Stochastic Gradient Descent for Convex Optimization Problems
arXiv
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arXiv 2025年
作者: Partohaghighi, Mohammad Marcia, Roummel Chen, YangQuan Electrical Engineering and Computer Science graduate program University of California Merced United States Department of Applied Mathematics University of California Merced MercedCA United States Lab Department of Mechanical Engineering School of Engineering University of California MercedCA95343 United States
Fractional-order stochastic gradient descent (FOSGD) leverages a fractional exponent to capture long-memory effects in optimization, yet its practical impact is often constrained by the difficulty of tuning and stabil... 详细信息
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Principal Curvatures Estimation with Applications to Single Cell Data
Principal Curvatures Estimation with Applications to Single ...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Zhang, Yanlei Mezrag, Lydia Sun, Xingzhi Xu, Charles Macdonald, Kincaid Bhaskar, Dhananjay Krishnaswamy, Smita Wolf, Guy Rieck, Bastian Université de Montréal Dept. of Math. & Stat Canada Mila - Quebec AI Institute MontréalQC Canada Yale University Dept. of Comp. Sci. United States Dept. of Genetics United States Applied Mathematics Program New HavenCT United States Université de Fribourg Department of Informatics FR Fribourg Switzerland Helmholtz Zentrum München Institute of AI for Health BY Munich Germany
The rapidly growing field of single-cell transcriptomic sequencing (scRNAseq) presents challenges for data analysis due to its massive datasets. A common method in manifold learning consists in hypothesizing that data... 详细信息
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INTEGRABLE 4-DIMENSIONAL SYMPLECTIC MAPS OF STANDARD TYPE
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PHYSICS LETTERS A 1993年 第3期177卷 211-214页
作者: MCLACHLAN, RI Program in Applied Mathematics University of Colorado at Boulder
We search for rotational, four-dimensional maps of standard type (x(n+1)-2x(n)+x(n-1) = epsilonf(x, epsilon)) possessing one or two polynomial integrals. There are no nontrivial maps corresponding to cubic oscillators...
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HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data
arXiv
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arXiv 2025年
作者: Viswanath, Siddharth Madhu, Hiren Bhaskar, Dhananjay Kovalic, Jake Johnson, Dave Ying, Rex Tape, Christopher Adelstein, Ian Perlmutter, Michael Krishnaswamy, Smita Department of Computer Science Yale University New Haven United States Department of Genetics Yale University New Haven United States Department of Applied Physics Yale University New Haven United States Program in Computing Boise State University Idaho United States Cell Communication Lab Department of Oncology University College London Cancer Institute London United Kingdom Department of Mathematics Yale University New Haven United States Department of Mathematics Boise State University Idaho United States Computational Biology and Bioinformatics Program Yale University New Haven United States Wu-Tsai Institute Yale University New Haven United States Program for Applied Math Yale University New Haven United States
In this paper, we propose HiPoNet, an end-to-end differentiable neural network for regression, classification, and representation learning on high-dimensional point clouds. Single-cell data can have high dimensionalit... 详细信息
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TRANSIENT MEASURES IN THE STANDARD MAP
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PHYSICA D 1994年 第3-4期74卷 254-267页
作者: MEISS, JD Program in Applied Mathematics University of Colorado Boulder CO 80309 USA
For an area preserving map, each chaotic orbit appears numerically to densely cover a region (an irregular component) of nonzero area. Surprisingly, the measure approximated by a long segment of such an orbit deviates...
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AN EXTENSION OF NOETHER THEOREM TO TRANSFORMATIONS INVOLVING POSITION-DEPENDENT PARAMETERS AND THEIR DERIVATIVES
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FOUNDATIONS OF PHYSICS 1981年 第11-1期11卷 809-838页
作者: RUND, H Program in Applied Mathematics University of Arizona Tucson Arizona
Guided by the example of gauge transformations associated with classical Yang-Mills fields, a very general class of transformations is considered. The explicit representation of these transformations involves not only... 详细信息
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Fitting exponential: An interest in rates
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COMPUTING IN SCIENCE & ENGINEERING 2004年 第3期6卷 66-69页
作者: O'Leary, DP Institute for Advanced Computer Studies and the Applied Mathematics Program at the University of Maryland
Suppose we have two chemical reactions occurring simultaneously. Then theamount y of a reactant changes due to both processes and behaves as a function of time t as y(t) =x_1e~(α_1t) + x_2e~(α_2t), where x_1, x_2, ... 详细信息
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