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This paper discusses a novel method of exact discretization obtaining an equivalent difference equation whose solution is equal to the solution of a differential equation at discrete periodic points.
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...
In this paper we present a method for solving linear ordinary differential equations (ODE) based on multiquadric (MQ) radial basis function networks (RBFNs). According to the thought of approximation ...
The question of the presence of various asymptotic properties of the solutions of ordinary differential equations arises when solving various practical problems. The investigation of these questions ...
In this paper, we obtained the exact solutions of the (1+1) (1 + 1) -dimensional nonlinear dispersive modified Benjamin–Bona–Mahony (DMBBM) and the seventh-order Sawada–Kotera–Ito (S-K Ito) equations ...
Solving an equation means finding the value or values for which the two expressions on each side of the equals sign are equal. One of the most common methods used to solve equations is the balance ...
Course content The course gives a thorough basis for understanding stochastic dynamics and models. We will in particular study Brownian motion and martingales, Ito’s stochastic calculus, stochastic ...
A collection of resources about partial differential equations, deep learning, graph neural networks, dynamic system simulation. We also roughly categorize the resources into the following categories ...
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xi, 387 pages : 24 cmPublication date 1976 Topics Differential equations, Differential equations, Differentialgleichung, Gewöhnliche Differentialgleichung, Mathematics Publisher New York : Holt, ...
1994: Numerical solution of differential equations M. Ali - Application of control techniques to solving linear systems of equations. M.H. Brookes - An investigation of a dual-porosity model for the ...