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Positive solutions of boundary value problems for ordinary differential equations with impulse
1998Using a fixed point theorem for a completely continuous operator in a Banach space with a cone due to \textit{M. A. Krasnoselskij} [Positive solutions of operator equations. Groningen, P. Noordhoff (1964; Zbl 0121.10604)], the authors determine some values of the parameter \(\lambda\) for which there exists at least one positive solution to the ...
Eloe, Paul W., Henderson, Johnny
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2014
Impulsive differential equations are often used in mathematical modelling to simplify complicated hybrid models. We propose an inverse framework inspired by impulsive differential equations, called impulse extension equations, which can be used as a tool to determine when these impulsive models are accurate.
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Impulsive differential equations are often used in mathematical modelling to simplify complicated hybrid models. We propose an inverse framework inspired by impulsive differential equations, called impulse extension equations, which can be used as a tool to determine when these impulsive models are accurate.
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1998
The authors extend the method of quasilinearization to the two-point boundary value problem for second-order impulsive differential equations \[ x{''}(t)=f(t,x(t)), \quad t_k < t < t_{k+1}, \;k = 0,\dots,m, \tag{1} \] \[ x(0) = a, \quad x(1) = b, \tag{2} \] \[ \Delta x(t_k) = u_k, \quad k = 1,\dots,m, \tag{3} \] \[ \Delta x^{'}(t_k) = v_k (x(t_k ...
Doddaballapur, Vidya, Eloe, Paul W.
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The authors extend the method of quasilinearization to the two-point boundary value problem for second-order impulsive differential equations \[ x{''}(t)=f(t,x(t)), \quad t_k < t < t_{k+1}, \;k = 0,\dots,m, \tag{1} \] \[ x(0) = a, \quad x(1) = b, \tag{2} \] \[ \Delta x(t_k) = u_k, \quad k = 1,\dots,m, \tag{3} \] \[ \Delta x^{'}(t_k) = v_k (x(t_k ...
Doddaballapur, Vidya, Eloe, Paul W.
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Structural identification with physics-informed neural ordinary differential equations
Journal of Sound and Vibration, 2021Zhilu Lai +2 more
exaly
Artificial neural networks for solving ordinary and partial differential equations
IEEE Transactions on Neural Networks, 1998Di Fotiadis
exaly
Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines
IEEE Transactions on Neural Networks and Learning Systems, 2012Siamak Mehrkanoon, Johan A K Suykens
exaly
Ulam’s type stability of impulsive ordinary differential equations
Journal of Mathematical Analysis and Applications, 2012JinRong Wang, Yong Zhou
exaly
Lie symmetry analysis and exact solution of certain fractional ordinary differential equations
Nonlinear Dynamics, 2017P Prakash, R Sahadevan
exaly

