English
Related papers

Related papers: On stable numerical differentiation

200 papers

The problem of numerical differentiation can be thought of as an inverse problem by considering it as solving a Volterra equation. It is well known that such inverse integral problems are ill-posed and one requires regularization methods to…

Numerical Analysis · Mathematics 2020-04-15 Abinash Nayak

We analyze a discretization method for solving nonlinear integral equations that contain multiple integrals. These equations include integral equations with a Volterra series, instead of a single integral term, on one side of the equation.…

Numerical Analysis · Mathematics 2010-02-04 S. A. Belbas , Yuriy Bulka

We study a numerical approximation for a nonlinear variable-order fractional differential equation via an integral equation method. Due to the lack of the monotonicity of the discretization coefficients of the variable-order fractional…

Numerical Analysis · Mathematics 2021-10-12 Xiangcheng Zheng

We propose the numerical methods for solution of the weakly regular linear and nonlinear evolutionary (Volterra) integral equation of the first kind. The kernels of such equations have jump discontinuities along the continuous curves…

Numerical Analysis · Mathematics 2015-07-24 Ildar Muftahov , Aleksandr Tynda , Denis Sidorov

The aim of the paper is to demonstrate the use of the Galerkin method for some kind of Volterra equations, determininistic and stochastic as well. The paper consists of two parts: the theoretical and numerical one. In the first part we…

Probability · Mathematics 2007-05-23 Anna Karczewska , Piotr Rozmej

We present implicit and explicit versions of a numerical algorithm for solving a Volterra integro-differential equation. These algorithms are an extension of our previous work, and cater for a kernel of general form. We use an appropriate…

Numerical Analysis · Mathematics 2026-01-13 J. S. C. Prentice

This paper explores the critical role of differentiation approaches for data-driven differential equation discovery. Accurate derivatives of the input data are essential for reliable algorithmic operation, particularly in real-world…

Machine Learning · Computer Science 2023-11-13 Mikhail Masliaev , Ilya Markov , Alexander Hvatov

The numerical method for solution of the weakly regular scalar Volterra integral equation of the 1st kind is proposed. The kernels of such equations have jump discontinuities on the continuous curves which starts at the origin. The…

Numerical Analysis · Mathematics 2014-03-20 Denis Sidorov , Aleksandr Tynda , Ildar Muftahov

In this work, we systematically investigate linear multi-step methods for differential equations with memory. In particular, we focus on the numerical stability for multi-step methods. According to this investigation, we give some…

Numerical Analysis · Mathematics 2023-10-30 Guihong Wang , Yuqing Li , Tao Luo , Zheng Ma , Nung Kwan Yip , Guang Lin

Computational methods for fractional differential equations exhibit essential instability. Even a minor modification of the coefficients or other entry data may switch good results to the divergent. The goal of this paper is to suggest the…

Numerical Analysis · Mathematics 2021-12-20 P. B. Dubovski , J. A. Slepoi

The accurate numerical solution of partial differential equations is a central task in numerical analysis allowing to model a wide range of natural phenomena by employing specialized solvers depending on the scenario of application. Here,…

Numerical Analysis · Mathematics 2022-12-13 Moritz Reh , Martin Gärttner

We study quadrature methods for solving Volterra integral equations of the first kind with smooth kernels under the presence of noise in the right-hand sides, with the quadrature methods being generated by linear multistep methods. The…

Numerical Analysis · Mathematics 2016-05-02 Robert Plato

The systems of nonlinear Volterra integral equations of the first kind with jump discontinuous kernels are studied. The iterative numerical method for such nonlinear systems is proposed. Proposed method employs the modified…

Numerical Analysis · Mathematics 2019-10-22 A. N. Tynda , D. N. Sidorov , N. A. Sidorov

A nonlinear partial differential equation is a nonlinear relationship between an unknown function and how it changes due to two or more input variables. A numerical method reduces such an equation to arithmetic for quick visualization, but…

History and Overview · Mathematics 2019-09-27 R. Corban Harwood

We investigate stochastic Volterra equations and their limiting laws. The stochastic Volterra equations we consider are driven by a Hilbert space valued \Levy noise and integration kernels may have non-linear dependence on the current state…

Probability · Mathematics 2020-07-22 Fred Espen Benth , Nils Detering , Paul Kruehner

Von Neumann established that discretized algebraic equations must be consistent with the differential equations, and must be stable in order to obtain convergent numerical solutions for the given differential equations. The "stability" is…

Numerical Analysis · Mathematics 2012-05-31 Lun-Shin Yao

In this article we investigate the connection between regularization theory for inverse problems and dynamic programming theory. This is done by developing two new regularization methods, based on dynamic programming techniques. The aim of…

Numerical Analysis · Mathematics 2021-01-26 S. Kindermann , A. Leitao

We present two integrable discretisations of a general differential-difference bicomponent Volterra system. The results are obtained by discretising directly the corresponding Hirota bilinear equations in two different ways. Multisoliton…

Exactly Solvable and Integrable Systems · Physics 2015-08-26 Nicoleta-Corina Babalic , A. S. Carstea

The matter of the stability for multi-asset American option pricing problems is a present remaining challenge. In this paper a general transformation of variables allows to remove cross derivative terms reducing the stencil of the proposed…

Pricing of Securities · Quantitative Finance 2017-01-31 Rafael Company , Vera Egorova , Lucas Jódar , Fazlollah Soleymani

Inspired by path-integral solutions to the quantum relaxation problem, we develop a numerical method to solve classical stochastic differential equations with multiplicative noise that avoids averaging over trajectories. To test the method,…

Statistical Mechanics · Physics 2023-12-12 Ryan T. Grimm , Joel D. Eaves
‹ Prev 1 2 3 10 Next ›