On elliptic solutions of nonlinear ordinary differential equations [PDF]
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Nikolai Kudryashov, Maria Demina
exaly +3 more sources
In this study, a system of first order nonlinear non-homogeneous fuzzy ordinary differential equations will be examine in fuzzy environment and solved using embedding method. The results of nonlinear non-homogeneous fuzzy ordinary differential equations
Habibu Hassan, Alhaji Tahir
doaj +1 more source
This paper examines the implementation of simple combination mutation of differential evolution algorithm for solving stiff ordinary differential equations.
Werry Febrianti +2 more
doaj +1 more source
Approximate Methods for Solving Problems of Mathematical Physics on Neural Hopfield Networks
A Hopfield neural network is described by a system of nonlinear ordinary differential equations. We develop a broad range of numerical schemes that are applicable for a wide range of computational problems.
Ilya Boykov +2 more
doaj +1 more source
On the algorithmic linearizability of nonlinear ordinary differential equations [PDF]
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Dmitry A. Lyakhov +2 more
openaire +3 more sources
Linearisation of a second-order nonlinear ordinary differential equation
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
A method for constructing a complete bifurcation picture of a boundary value problem for nonlinear partial differential equations: application of the Kolmogorov-Arnold theorem [PDF]
The purpose of this study is to develop a numerical method for bifurcation analysis of nonlinear partial differential equations, based on the reduction of partial differential equations to ordinary ones, using the Kolmogorov-Arnold theorem.
Gromov, Vasily Alexandrovich +4 more
doaj +1 more source
The LS-SVM algorithms for boundary value problems of high-order ordinary differential equations
This paper introduces the improved LS-SVM algorithms for solving two-point and multi-point boundary value problems of high-order linear and nonlinear ordinary differential equations.
Yanfei Lu +5 more
doaj +1 more source
Fuzzy Differential Equations for Nonlinear System Modeling With Bernstein Neural Networks
With the fuzzy set theory, the uncertainty of nonlinear systems can be modeled using fuzzy differential equations. The solutions of these equations are the model output, but they are very difficult to obtain.
Raheleh Jafari, Wen Yu, Xiaoou Li
doaj +1 more source
Oscillation Analysis Algorithm for Nonlinear Second-Order Neutral Differential Equations
Differential equations are useful mathematical tools for solving complex problems. Differential equations include ordinary and partial differential equations.
Liang Song, Shaodong Chen, Guoxin Wang
doaj +1 more source

