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相关论文: Naive Dimensional Analysis in Holography

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Dynamic AdS/QCD is a holographic model of strongly coupled gauge theories with the dynamics included through the running anomalous dimension of the quark bilinear, gamma. We apply it to describe the physics of massive quarks in the…

高能物理 - 唯象学 · 物理学 2014-10-17 Nick Evans , Marc Scott

Quadratic discriminant analysis (QDA) is a widely used classification technique that generalizes the linear discriminant analysis (LDA) classifier to the case of distinct covariance matrices among classes. For the QDA classifier to yield…

机器学习 · 计算机科学 2020-06-26 Houssem Sifaou , Abla Kammoun , Mohamed-Slim Alouini

Across many scientific domains, practitioners rely on coarse, discretized summaries to track the evolving structure of complex systems under noise, measurement error, and changing system size. Understanding when such summaries are reliable…

代数拓扑 · 数学 2026-01-29 Chad M. Topaz

Continuous data assimilation (CDA) nudges observational data into governing equations to recover the underlying flow and improve predictions. Existing rigorous CDA analyses focus primarily on incompressible flows, yet no physical flow is…

数值分析 · 数学 2026-04-30 Aytekin Çıbık , Rui Fang

A Nitche's method is presented to couple different mechanical models. They include coupling of a solid and a beam and of a solid and a plate. Both conforming and non-conforming formulations are presented. In a non-conforming for- mulation,…

数值分析 · 数学 2024-11-20 Vinh Phu Nguyen , Pierre Kerfriden , Susanne Claus , Stephane P. A. Bordas

Statistical Data Assimilation (SDA) is the transfer of information from field or laboratory observations to a user selected model of the dynamical system producing those observations. The data is noisy and the model has errors; the…

统计计算 · 统计学 2019-01-16 Adrian S. Wong , Kangbo Hao , Zheng Fang , Henry D. I. Abarbanel

We study gauge coupling unification in the presence of extra dimensions compactified at a few TeV. Achieving unification requires a large number of gauge boson Kaluza-Klein excitations lighter than the string scale, such that the…

高能物理 - 唯象学 · 物理学 2009-10-31 Hsin-Chia Cheng , Bogdan A. Dobrescu , Christopher T. Hill

The structure-preserving doubling algorithm (SDA) is a fairly efficient method for solving problems closely related to Hamiltonian (or Hamiltonian-like) matrices, such as computing the required solutions to algebraic Riccati equations.…

数值分析 · 数学 2020-05-19 Zhen-Chen Guo , Eric King-Wah Chu , Xin Liang , Wen-Wei Lin

Correspondence analysis (CA) is a multivariate statistical tool used to visualize and interpret data dependencies by finding maximally correlated embeddings of pairs of random variables. CA has found applications in fields ranging from…

机器学习 · 计算机科学 2020-07-01 Hsiang Hsu , Salman Salamatian , Flavio P. Calmon

Aligning theoretical atomistic structural models of materials with available experimental data presents a significant challenge for disordered systems. The configurational space to navigate is vast, and faithful realizations require large…

材料科学 · 物理学 2025-09-29 Tigany Zarrouk , Miguel A. Caro

It is customary to couple a quantum system to external classical fields. One application is to couple the global symmetries of the system (including the Poincar\'{e} symmetry) to background gauge fields (and a metric for the Poincar\'{e}…

高能物理 - 理论 · 物理学 2020-01-08 Clay Cordova , Daniel S. Freed , Ho Tat Lam , Nathan Seiberg

Domain adaptation (DA) aims to generalize a learning model across training and testing data despite the mismatch of their data distributions. In light of a theoretical estimation of upper error bound, we argue in this paper that an…

计算机视觉与模式识别 · 计算机科学 2018-01-01 Lingkun Luo , Liming Chen , Shiqiang Hu , Ying Lu , Xiaofang Wang

Linear discriminant analysis (LDA) is a typical method for classification problems with large dimensions and small samples. There are various types of LDA methods that are based on the different types of estimators for the covariance…

统计方法学 · 统计学 2023-03-07 Jaehoan Kim , Hoyoung Park , Junyong Park

The off mass shell continuation of dual amplitude with Mandelstam analyticity (DAMA) is proposed. The modified DAMA (M-DAMA) preserves all the attractive properties of DAMA, such as its pole structure and Regge asymptotics, and leads to a…

高能物理 - 唯象学 · 物理学 2007-05-23 V. K. Magas

The prediction of the strong coupling constant in grand unified theories is reviewed, first in the standard model, then in the supersymmetric version. Various corrections are considered. The predictions in both supergravity-induced and…

高能物理 - 唯象学 · 物理学 2007-05-23 Damien M. Pierce

Despite a lack of theoretical understanding, deep neural networks have achieved unparalleled performance in a wide range of applications. On the other hand, shallow representation learning with component analysis is associated with rich…

机器学习 · 计算机科学 2018-03-20 Calvin Murdock , Ming-Fang Chang , Simon Lucey

We study the soft breaking of N=2 self-dual gauge theories down to N=0 by promoting the coupling constant and hypermultiplet masses to spurions, and we analyze the microscopic duality symmetry in the resulting models. Explicit formulae are…

高能物理 - 理论 · 物理学 2009-10-31 Marcos Marino , Frederic Zamora

Geometrical disorder is present in many physical situations giving rise to eigenvalue problems. The simplest case of diffusion on a random lattice with fluctuating site connectivities is studied analytically and by exact numerical…

统计力学 · 物理学 2009-10-31 G. Biroli , R. Monasson

Quantum non-demolition (QND) measurement of collective variables by off-resonant optical probing has the ability to create entanglement and squeezing in atomic ensembles. Until now, this technique has been applied to real or effective spin…

量子物理 · 物理学 2015-05-19 M. Koschorreck , M. Napolitano , B. Dubost , M. W. Mitchell

A formalism is presented which allows covariant three-dimensional bound-state equations to be derived systematically from four-dimensional ones without the use of delta-functions. The amplitude for the interaction of a bound state described…

核理论 · 物理学 2009-04-17 D. R. Phillips , S. J. Wallace