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Related papers: A Primer on Functional Methods and the Schwinger-D…

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An overview of the solution methods for ordinary differential equations in the Mathematica function DSolve is presented.

Symbolic Computation · Computer Science 2011-04-21 Ünal Göktaş , Devendra Kapadia

We generalize some classical results for the Schlesinger system of partial differential equations and give the explicit form of its solution, associated with rational matrix functions in general position.

Classical Analysis and ODEs · Mathematics 2007-05-23 Dan Volok

A new class of methods is introduced for solving the Kohn-Sham equations of density functional theory, based on constructing a mapping dynamically between the Kohn-Sham system and an auxiliary system. The resulting auxiliary density…

Materials Science · Physics 2015-03-05 P. J. Hasnip , M. I. J. Probert

We outline the basic ideas and techniques underpinning the simulation of stochastic differential equations. In particular we focus on strong simulation and its context. We also provide illustratory examples and sample matlab algorithms for…

Numerical Analysis · Mathematics 2010-04-06 Simon J. A. Malham , Anke Wiese

We discuss structural aspects of the functional renormalisation group. Flows for a general class of correlation functions are derived, and it is shown how symmetry relations of the underlying theory are lifted to the regularised theory. A…

High Energy Physics - Theory · Physics 2010-04-06 Jan M. Pawlowski

A globally converging numerical method to solve coupled sets of non-linear integral equations is presented. Such systems occur e.g. in the study of Dyson-Schwinger equations of Yang-Mills theory and QCD. The method is based on the knowledge…

High Energy Physics - Phenomenology · Physics 2007-05-23 Axel Maas

The Schwinger-Dyson equations in the ladder approximation for $2D$ induced gravity coupled to fermions on a flat background are obtained in conformal gauge. A numerical study of these equations shows the possiblity of chiral symmetry…

High Energy Physics - Theory · Physics 2009-09-25 E. Elizalde , S. D. Odintsov , A. Romeo , Yu. I. Shil'nov

The paper deals with systems of ordinary differential equations containing in the right-hand side controls which are discontinuous in phase variables. These controls cause the occurrence of sliding modes. If one uses one of the well-known…

Optimization and Control · Mathematics 2023-05-05 Alexander Fominyh

Functionals are an important research subject in Mathematics and Computer Science as well as a challenge in Information Technologies where the current programming paradigm states that only symbolic computations are possible on higher order…

Logic · Mathematics 2018-09-13 Stanislaw Ambroszkiewicz

This chapter is mainly a tutorial introduction to methods recently developed in order to find all (as opposed to some) meromorphic particular solutions of given nonintegrable, autonomous, algebraic ordinary differential equations of any…

Exactly Solvable and Integrable Systems · Physics 2018-06-11 Robert Conte , Tuen Wai Ng , Chengfa Wu

Integro-differential methods, currently exploited in calculus, provide an inexhaustible source of tools to be applied to a wide class of problems, involving the theory of special functions and other subjects. The use of integral transforms…

Classical Analysis and ODEs · Mathematics 2019-06-04 G. Dattoli , E. Di Palma , E. Sabia , K. Górska , A. Horzela , K. A. Penson

In this paper are briefly outlined the motivations, mathematical ideas in use, pre-formalization and assumptions, object-as-functor construction, `soft' types and concept constructions, case study for concepts based on variable domains,…

Logic in Computer Science · Computer Science 2007-05-23 Viacheslav Wolfengagen

Stochastic differential equations (sdes) play an important role in physics but existing numerical methods for solving such equations are of low accuracy and poor stability. A general strategy for developing accurate and efficient schemes…

Quantum Physics · Physics 2009-11-10 Joshua Wilkie

We give an introduction to discrete functional analysis techniques for stationary and transient diffusion equations. We show how these techniques are used to establish the convergence of various numerical schemes without assuming…

Numerical Analysis · Mathematics 2016-02-25 Jerome Droniou

We show that under reasonably general assumptions, the first order asymptotics of the free energy of matrix models are generating functions for colored planar maps. This is based on the fact that solutions of the Schwinger-Dyson equations…

Probability · Mathematics 2007-05-23 Alice Guionnet , Édouard Maurel-Segala

The moments of Bessel functions and Bessel-trigonometric functions play a basic role in many practical problems and numerical analysis. This paper presents a complete analysis for these moments based on the recursive relations of Bessel…

Numerical Analysis · Mathematics 2016-02-24 Yinkun Wang , Ying Li , Jianshu Luo

This book is not meant to be another compendium of select inequalities, nor does it claim to contain the latest or the slickest ways of proving them. This project is rather an attempt at describing how most functional inequalities are not…

Analysis of PDEs · Mathematics 2012-01-17 Nassif Ghoussoub , Amir Moradifam

Differential equations are a powerful tool to tackle Feynman integrals. In this talk we discuss recent progress, where the method of differential equations has been applied to Feynman integrals which are not expressible in terms of multiple…

High Energy Physics - Phenomenology · Physics 2017-12-14 Luise Adams , Christian Bogner , Ekta Chaubey , Armin Schweitzer , Stefan Weinzierl

Deriving a comprehensive set of reduction rules for Feynman integrals has been a longstanding challenge. In this paper, we present a proposed solution to this problem utilizing generating functions of Feynman integrals. By establishing and…

High Energy Physics - Phenomenology · Physics 2023-06-29 Xin Guan , Xiang Li , Yan-Qing Ma

This article presents a reformulation of the Theory of Functional Connections: a general methodology for functional interpolation that can embed a set of user-specified linear constraints. The reformulation presented in this paper exploits…

Numerical Analysis · Mathematics 2020-08-07 Carl Leake , Hunter Johnston , Daniele Mortari
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