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In this paper, we describe a numerical approach to evaluate Feynman loop integrals. In this approach the key technique is a combination of a numerical integration method and a numerical extrapolation method. Since the computation is carried…

高能物理 - 唯象学 · 物理学 2011-09-21 F. Yuasa , T. Ishikawa , Y. Kurihara , J. Fujimoto , Y. Shimizu , N. Hamaguchi , E. de Doncker , K. Kato

A new approach to compute Feynman Integrals is presented. It relies on an integral representation of a given Feynman Integral in terms of simpler ones. Using this approach, we present, for the first time, results for a certain family of…

高能物理 - 唯象学 · 物理学 2020-03-18 Costas G. Papadopoulos , Christopher Wever

Numerical simulations of star cluster formation have advanced greatly during the past decade, covering increasingly massive gas clouds while accounting for more and more complex physics. In this review, I discuss the present state of the…

星系天体物理 · 物理学 2013-04-18 J. M. Diederik Kruijssen

The purpose of this technical report is to review the main properties of an accelerated composite gradient (ACG) method commonly referred to as the Fast Iterative Shrinkage-Thresholding Algorithm (FISTA). In addition, we state a version of…

最优化与控制 · 数学 2021-07-06 Weiwei Kong , Jefferson G. Melo , Renato D. C. Monteiro

Calculating portions of eigenvalues and eigenvectors of matrices or matrix pencils has many applications. An approach to this calculation for Hermitian problems based on a density matrix has been proposed in 2009 and a software package…

数值分析 · 数学 2014-04-11 Ping Tak Peter Tang , James Kestyn , Eric Polizzi

High precision calculations in perturbative QFT often require evaluation of big collection of Feynman integrals. Complexity of this task can be greatly reduced via the usage of linear identities among Feynman integrals. Based on…

高能物理 - 理论 · 物理学 2022-09-07 Vsevolod Chestnov

A scheme for systematically achieving accurate numerical evaluation of multi-loop Feynman diagrams is developed. This shows the feasibility of a project aimed to produce a complete calculation for two-loop predictions in the Standard Model.…

高能物理 - 唯象学 · 物理学 2008-11-26 G. Passarino

Recent progress in fault detection and identification increasingly relies on sophisticated techniques for fault detection, applied through either centralized or distributed approaches. Instead of increasing the sophistication of the fault…

系统与控制 · 电气工程与系统科学 2025-07-29 Enrique Luna Villagomez , Vladimir Mahalec

Algorithmic fairness in clustering aims to balance the proportions of instances assigned to each cluster with respect to a given sensitive attribute. While recently developed fair clustering algorithms optimize clustering objectives under…

机器学习 · 计算机科学 2025-10-24 Kunwoong Kim , Jihu Lee , Sangchul Park , Yongdai Kim

We use the method of differential equations to analytically evaluate all planar three-loop Feynman integrals relevant for form factor calculations involving massive particles. Our results for ninety master integrals at general $q^2$ are…

高能物理 - 唯象学 · 物理学 2017-02-01 Johannes M. Henn , Alexander V. Smirnov , Vladimir A. Smirnov

These lecture notes provide an introduction to quantum cluster methods for strongly correlated systems. Cluster Perturbation Theory (CPT), the Variational Cluster Approximation (VCA) and Cellular Dynamical Mean Field Theory (CDMFT) are…

强关联电子 · 物理学 2010-11-25 David Sénéchal

We consider the estimation of Dirichlet Process Mixture Models (DPMMs) in distributed environments, where data are distributed across multiple computing nodes. A key advantage of Bayesian nonparametric models such as DPMMs is that they…

机器学习 · 统计学 2017-09-20 Ruohui Wang , Dahua Lin

One of the focal points of the modern literature on Bayesian nonparametrics has been the problem of clustering, or partitioning, where each data point is modeled as being associated with one and only one of some collection of groups called…

统计理论 · 数学 2013-10-02 Tamara Broderick , Michael I. Jordan , Jim Pitman

pSecDec is a computer tool to evaluate Feynman integrals and their weighted sums (amplitudes) using the method of sector decomposition and numerical integration. The new release of pySecDec version 1.6 comes with a significant performance…

高能物理 - 唯象学 · 物理学 2023-11-02 Vitaly Magerya

A systematic study of the scalar one-loop two-, three-, and four-point Feynman integrals is performed. We consider all cases of mass assignment and external invariants and derive closed expressions in arbitrary space-time dimension in terms…

高能物理 - 唯象学 · 物理学 2016-04-14 Johannes Bluemlein , Khiem Hong Phan , Tord Riemann

Integration-by-parts (IBP) identities and differential equations are the primary modern tools for the evaluation of high-order Feynman integrals. They are commonly derived and implemented in the momentum-space representation. We provide a…

高能物理 - 唯象学 · 物理学 2023-10-09 Daniele Artico , Lorenzo Magnea

We present the program SecDec 2.0 which contains various new features: First, it allows the numerical evaluation of multi-loop integrals with no restriction on the kinematics. Dimensionally regulated ultraviolet and infrared singularities…

高能物理 - 唯象学 · 物理学 2015-03-20 Sophia Borowka , Jonathon Carter , Gudrun Heinrich

This paper presents a multilevel framework for inertial and inexact proximal algorithms, that encompasses multilevel versions of classical algorithms such as forward-backward and FISTA. The methods are supported by strong theoretical…

最优化与控制 · 数学 2024-04-03 Guillaume Lauga , Elisa Riccietti , Nelly Pustelnik , Paulo Gonçalves

Four 3-loop two-point functions are studied analytically and numerically using a simplified sector decomposition method. The coefficients of the ultraviolet divergent part are determined analytically, and those of the finite part are…

高能物理 - 唯象学 · 物理学 2024-10-01 Elise de Doncker , Tadashi Ishikawa , Kiyoshi Kato , Fukuko Yuasa

Earlier this decade, the so-called FEAST algorithm was released for computing the eigenvalues of a matrix in a given interval. Previously, rational filter functions have been examined as a parameter of FEAST. In this thesis, we expand on…

数值分析 · 计算机科学 2017-10-24 Konrad Kollnig