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We consider the Dirichlet-Neumann iteration for partitioned simulation of thermal fluid-structure interaction, also called conjugate heat transfer. We analyze its convergence rate for two coupled fully discretized 1D linear heat equations…

Numerical Analysis · Mathematics 2017-05-16 Azahar Monge , Philipp Birken

We compute two- and three-point functions at criticality for the three-dimensional Ising universality class. To this end we simulate the improved Blume-Capel model at the critical temperature on lattices of a linear size up to $L=1600$. As…

High Energy Physics - Lattice · Physics 2018-01-24 Martin Hasenbusch

In this series we examine the calculation of the $2k$th moment and shifted moments of the Riemann zeta-function on the critical line using long Dirichlet polynomials and divisor correlations. The present paper begins the general study of…

Number Theory · Mathematics 2016-08-29 Brian Conrey , Jonathan P. Keating

The melting point of a material constitutes a pivotal property with profound implications across various disciplines of science, engineering, and technology. Recent advancements in machine learning potentials have revolutionized the field,…

Materials Science · Physics 2024-09-02 Fu-Zhi Dai , Si-Hao Yuan , Yan-Bo Hao , Xin-Fu Gu , Shipeng Zhu , Jidong Hu , Yifen Xu

(This is only a first preliminary version, any suggestions about it will be welcome.) In this paper it is shown how to compute Riemann's zeta function $\zeta(s)$ (and Riemann-Siegel $Z(t)$) at any point $s\in\mathbf C$ with a prescribed…

Number Theory · Mathematics 2022-01-04 Juan Arias de Reyna

Random plane wave is conjectured to be a universal model for high-energy eigenfunctions of the Laplace operator on generic compact Riemanian manifolds. This is known to be true on average. In the present paper we discuss one of important…

Mathematical Physics · Physics 2018-01-09 Dmitry Beliaev , Valentina Cammarota , Igor Wigman

In this paper, we propose a numerical method to solve isotropic elliptic equations on point cloud by generalizing the point integral method. The idea of the point integral method is to approximate the differential operators by integral…

Numerical Analysis · Mathematics 2016-04-12 Zhen Li , Zuoqiang Shi

The goal of this paper is to present invariants of planar point clouds, that is functions which take the same value before and after a linear transformation of a planar point cloud via a $2 \times 2$ invertible matrix. In the approach we…

General Mathematics · Mathematics 2018-05-22 Stelios Kotsios , Evangelos Melas

We study $n$-point functions at finite temperature in the closed time path formalism. With the help of two basic column vectors and their dual partners we derive a compact decomposition of the time-ordered $n$-point functions with $2^n$…

High Energy Physics - Theory · Physics 2008-11-26 Defu Hou , Enke Wang , Ulrich Heinz

The critical points of the two-layer Ising and Potts models for square lattice have been calculated with high precision using probabilistic cellular automata (PCA) with Glauber algorithm. The critical temperature is calculated for the…

Computational Physics · Physics 2007-05-23 Yazdan Asgari , Mehrdad Ghaemi , Mohammad Ghasem Mahjani

A purely numerical method, Direct ComputationMethod is applied to evaluate Feynman integrals. This method is based on the combination of an efficient numerical integration and an efficient extrapolation. In addition, high-precision…

High Energy Physics - Phenomenology · Physics 2014-11-18 F. Yuasa , T. Ishikawa , J. Fujimoto , N. Hamaguchi , E. de Doncker , Y. Shimizu

Nonlinear regression is a useful statistical tool, relating observed data and a nonlinear function of unknown parameters. When the parameter-dependent nonlinear function is computationally intensive, a straightforward regression analysis by…

Applications · Statistics 2009-01-26 Dorin Drignei , Chris E. Forest , Doug Nychka

In a previous work, the author and D.C. Dobson proposed a numerical method for solving the complex Helmholtz equation based on the minimization variational principles developed by Milton, Seppecher, and Bouchitte. This method results in a…

Numerical Analysis · Mathematics 2015-01-06 Russell B. Richins

We consider the canonical ensemble of a system of point particles on the sphere interacting via a logarithmic pair potential. In this setting, we study the associated Gibbs measure and partition function, and we derive explicit formulas…

Mathematical Physics · Physics 2025-10-31 Rolf Andreasson , Ludvig Svensson

We use a smoothed version of the explicit formula to find an approximation to the Riemann zeta function as a product over its nontrivial zeros multiplied by a product over the primes. We model the first product by characteristic polynomials…

Number Theory · Mathematics 2007-05-23 S. M. Gonek , C. P. Hughes , J. P. Keating

We show that computing even very coarse approximations of critical points is intractable for simple classes of nonconvex functions. More concretely, we prove that if there exists a polynomial-time algorithm that takes as input a polynomial…

Optimization and Control · Mathematics 2026-01-30 Amir Ali Ahmadi , Georgina Hall

For the estimation of transition points of finite elastic, flexible polymers with chain lengths from $13$ to $309$ monomers, we compare systematically transition temperatures obtained by the Fisher partition function zeros approach with…

Data Analysis, Statistics and Probability · Physics 2014-08-20 Julio C. S. Rocha , Stefan Schnabel , David P. Landau , Michael Bachmann

Anisotropic flow measurements in heavy-ion collisions provide important information on the properties of hot and dense matter. These measurements are based on analysis of azimuthal correlations and might be biased by contributions from…

Nuclear Experiment · Physics 2011-10-18 Ante Bilandzic , Raimond Snellings , Sergei Voloshin

We initiate an approach to constraining conformal field theory (CFT) data at finite temperature using methods inspired by the conformal bootstrap for vacuum correlation functions. We focus on thermal one- and two-point functions of local…

High Energy Physics - Theory · Physics 2018-11-14 Luca Iliesiu , Murat Koloğlu , Raghu Mahajan , Eric Perlmutter , David Simmons-Duffin

We propose an iterative proposal to estimate critical points for statistical models based on configurations by combing machine-learning tools. Firstly, phase scenarios and preliminary boundaries of phases are obtained by…

Disordered Systems and Neural Networks · Physics 2019-10-23 X. L. Zhao , L. B. Fu