Results 11 to 20 of about 36,652 (259)

Ordinary Differential Equations [PDF]

open access: yes, 2021
AbstractIn this chapter, we discuss a first application of the time derivative operator constructed in the previous chapter. More precisely, we analyse well-posedness of ordinary differential equations and will at the same time provide a Hilbert space proof of the classical Picard–Lindelöf theorem (There are different notions for this theorem.
Christian Seifert   +2 more
openaire   +1 more source

Kernel Ordinary Differential Equations [PDF]

open access: yesJournal of the American Statistical Association, 2021
Ordinary differential equation (ODE) is widely used in modeling biological and physical processes in science. In this article, we propose a new reproducing kernel-based approach for estimation and inference of ODE given noisy observations. We do not assume the functional forms in ODE to be known, or restrict them to be linear or additive, and we allow ...
Dai, Xiaowu, Li, Lexin
openaire   +6 more sources

Linearisation of a second-order nonlinear ordinary differential equation

open access: yesActa Polytechnica, 2023
We analyse nonlinear second-order differential equations in terms of algebraic properties by reducing a nonlinear partial differential equation to a nonlinear second-order ordinary differential equation via the point symmetry f(v)∂v.
Adhir Maharaj   +3 more
doaj   +1 more source

Exact Solutions of the Two-Dimensional Cattaneo Model Using Lie Symmetry Transformations

open access: yesDiscrete Dynamics in Nature and Society, 2021
In this article, symmetry technique is utilized to obtain new exact solutions of the Cattaneo equation. The infinitesimal symmetries, linear combinations of these symmetries, and corresponding similarity variables are determined, which lead to many exact
Khudija Bibi, Khalil Ahmad
doaj   +1 more source

Stiff neural ordinary differential equations [PDF]

open access: yesChaos: An Interdisciplinary Journal of Nonlinear Science, 2021
Neural Ordinary Differential Equations (ODEs) are a promising approach to learn dynamical models from time-series data in science and engineering applications. This work aims at learning neural ODEs for stiff systems, which are usually raised from chemical kinetic modeling in chemical and biological systems.
Suyong Kim   +4 more
openaire   +5 more sources

IMPLEMENTASI DELAY DIFFERENTIAL EQUATION PADA SOLVER ORDINARY DIFFERENTIAL EQUATION MATLAB

open access: yesJUTI: Jurnal Ilmiah Teknologi Informasi, 2002
Ordinary Differential Equation (ODE) dan Delay Differential Equation (DDE) banyak digunakan untuk menerangkan kejadian-kejadian pada dunia nyata. ODE melibatkan derivatif yang dipengaruhi oleh penyelesaian waktu sekarang dari variabel-variabel yang tidak
Rully Soelaiman, Yudhi Purwananto
doaj   +1 more source

Evolutionary Approaches to the Identification of Dynamic Processes in the Form of Differential Equations and Their Systems

open access: yesAlgorithms, 2022
Evolutionary approaches are widely applied in solving various types of problems. The paper considers the application of EvolODE and EvolODES approaches to the identification of dynamic systems.
Tatiana Karaseva, Eugene Semenkin
doaj   +1 more source

Automorphisms of Ordinary Differential Equations [PDF]

open access: yesAbstract and Applied Analysis, 2014
The paper deals with the local theory of internal symmetries of underdetermined systems of ordinary differential equations in full generality. The symmetries need not preserve the choice of the independent variable, the hierarchy of dependent variables, and the order of derivatives.
Tryhuk, Václav, Chrastinová, Veronika
openaire   +4 more sources

Effective Capital in Upgraded Solow Macro-Model of Economic Growth

open access: yesВестник Российского экономического университета имени Г. В. Плеханова, 2022
The article studies the macro-economic theory of economic growth Solow in complicated case, when technical progress is materialized in capital. In this situation the production function depends on effective capital and labour resource.
A. Yu. Meerson, A. P. Chernyaev
doaj   +1 more source

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