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We present a population control method with sampling and regulation steps for Monte Carlo particles involved in the numerical simulation of a transport equation. We recall in the first section the difficulties related to the variance…

数值分析 · 数学 2023-01-31 Laetitia Laguzet , Gabriel Turinici

The problem of finding the exact energies and configurations for the Frenkel-Kontorova model consisting of particles in one dimension connected to their nearest-neighbors by springs and placed in a periodic potential consisting of segments…

统计力学 · 物理学 2009-10-30 R. B. Griffiths , H. J. Schellnhuber , H. Urbschat

In the present manuscript we give a structure condition that allows for energy approximation in the vectorial case and we provide two examples, enjoying such a condition.

偏微分方程分析 · 数学 2025-06-25 Menita Carozza , Filomena De Filippis , Raffaella Giova , Francesco Leonetti

We introduce a quadratically-constrained approximation (QCAC) of the AC optimal power flow (AC-OPF) problem. Unlike existing approximations like the DC-OPF, our model does not rely on typical assumptions such as high reactance-to-resistance…

最优化与控制 · 数学 2026-01-21 Gonzalo E. Constante-Flores , Can Li

We propose a new variational Monte Carlo (VMC) method with an energy variance extrapolation for large-scale shell-model calculations. This variational Monte Carlo is a stochastic optimization method with a projected correlated condensed…

核理论 · 物理学 2012-02-14 Takahiro Mizusaki , Noritaka Shimizu

We present a new direct simulation Monte-Carlo method for solving the relativistic Boltzmann equation. We solve numerically the 2-dimensional Boltzmann equation using this new algorithm. We find that elliptic flow from this transport…

核理论 · 物理学 2008-11-26 Clement Gombeaud , Jean-Yves Ollitrault

Standard diffuse approximations of the Willmore flow often lead to intersecting phase boundaries that in many cases do not correspond to the intended sharp interface evolution. Here we introduce a new two-variable diffuse approximation that…

偏微分方程分析 · 数学 2019-11-01 Andreas Rätz , Matthias Röger

In this paper, we introduce methods from convex optimization to solve the multimarginal transport type problems arise in the context of density functional theory. Convex relaxations are used to provide outer approximation to the set of…

最优化与控制 · 数学 2018-08-15 Yuehaw Khoo , Lexing Ying

In the last decades, dynamical mean-field theory (DMFT) and its diagrammatic extensions have been successfully applied to describe local and nonlocal correlation effects in correlated electron systems. Unfortunately, except for the exact…

强关联电子 · 物理学 2022-11-02 Julian Stobbe , Georg Rohringer

We propose an adaptive finite element algorithm to approximate solutions of elliptic problems whose forcing data is locally defined and is approximated by regularization (or mollification). We show that the energy error decay is…

数值分析 · 数学 2022-07-26 Luca Heltai , Wenyu Lei

We report several important observations that underscore the distinctions between the constrained-path Monte Carlo method and the continuum and lattice versions of the fixed-node method. The main distinctions stem from the differences in…

凝聚态物理 · 物理学 2009-10-31 J. Carlson , J. E. Gubernatis , G. Ortiz , S. Zhang

In these notes we discuss the conservation of the energy for weak solutions of the two-dimensional incompressible Euler equations. Weak solutions with vorticity in $L^\infty_t L^p_x$ with $p\geq 3/2$ are always conservative, while for less…

偏微分方程分析 · 数学 2022-03-24 Gennaro Ciampa

Monte Carlo sampling of the canonical distribution presents a formidable challenge when the potential energy landscape is characterized by a large number of local minima separated by high barriers. The principal observation of this work is…

统计力学 · 物理学 2022-05-03 Matthew Grasinger

We propose extensions and improvements of the statistical analysis of distributed multipoles (SADM) algorithm put forth by Chipot et al. in [6] for the derivation of distributed atomic multipoles from the quantum-mechanical electrostatic…

数值分析 · 数学 2010-07-28 Nicolas Champagnat , Christophe Chipot , Erwan Faou

A common tool in the practice of Markov Chain Monte Carlo is to use approximating transition kernels to speed up computation when the desired kernel is slow to evaluate or intractable. A limited set of quantitative tools exist to assess the…

概率论 · 数学 2026-01-14 Jeffrey Negrea , Jeffrey S. Rosenthal

Power cables have complex geometries in order to reduce their ac resistance. Although there are many different cable designs, most have in common that their inner conductors' cross-section is divided into several electrically insulated…

数值分析 · 数学 2025-11-11 Albert Piwonski , Julien Dular , Rodrigo Silva Rezende , Rolf Schuhmann

In this paper we study a variant of the branched transportation problem, that we call multi-material transport problem. This is a transportation problem, where distinct commodities are transported simultaneously along a network. The cost of…

偏微分方程分析 · 数学 2019-03-07 Andrea Marchese , Annalisa Massaccesi , Riccardo Tione

This paper is devoted to classical variational problems for planar elastic curves of clamped endpoints, so-called Euler's elastica problem. We investigate a straightening limit that means enlarging the distance of the endpoints, and obtain…

经典分析与常微分方程 · 数学 2020-10-15 Tatsuya Miura

The theoretical formulation and numerical evaluation of the vertex corrections in multiorbital techniques of theories of electronic properties of random alloys are analyzed. It is shown that current approaches to static transport properties…

无序系统与神经网络 · 物理学 2016-06-10 Ilja Turek

Distribution networks are usually multiphase and radial. To facilitate power flow computation and optimization, two semidefinite programming (SDP) relaxations of the optimal power flow problem and a linear approximation of the power flow…

最优化与控制 · 数学 2014-06-13 Lingwen Gan , Steven H. Low