Results 81 to 90 of about 11,022 (166)

Effects of landscape fragmentation on floodplain fishes as revealed by species–habitat networks

open access: yesConservation Biology, Volume 40, Issue 1, February 2026.
Abstract How species interact with habitat patches is influenced primarily by habitat configuration (e.g., connectivity) and species’ functional traits. As levels of fragmentation increase, identifying the intricate connections between these components is crucial for biodiversity conservation.
Chen Zhang   +8 more
wiley   +1 more source

Average Continuous Control of Piecewise Deterministic Markov Processes

open access: yes, 2008
This paper deals with the long run average continuous control problem of piecewise deterministic Markov processes (PDMP's) taking values in a general Borel space and with compact action space depending on the state variable.
Costa, O. L. V., Dufour, F.
core   +5 more sources

Numerical Solution using Chebyshev Expansion of the Higher-Orders Linear Fredholm Integro-Differential-Difference Equations with Variable Coefficients

open access: yesپژوهش‌های ریاضی, 2020
The main aim of this paper is to apply the Chebyshev polynomials for the solution of the linear Fredholm integro-differential-difference equation of high orders. It is usually difficult to analytically solve this equation.
Babolian, Fatemeh Chitsaz, Ali Davari
doaj  

Efficient auxiliary-mode approach for time-dependent nanoelectronics

open access: yesNew Journal of Physics, 2016
A new scheme for numerically solving the equations arising in the time-dependent non-equilibrium Green's function formalism is developed. It is based on an auxiliary-mode expansion of the self-energies which convert the complicated set of integro ...
Bogdan Stefan Popescu, Alexander Croy
doaj   +1 more source

Hopf bifurcation of integro-differential equations

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2000
A method reducing integro-differential equations (IDEs) to system of ordinary ones is proposed. On this base stability and bifurcation phenomena in critical cases are studied.
Alexander Domoshnitsky, Ya. Goltser
doaj   +1 more source

Asymptotic solutions of forced nonlinear second order differential equations and their extensions

open access: yes, 2007
Using a modified version of Schauder's fixed point theorem, measures of non-compactness and classical techniques, we provide new general results on the asymptotic behavior and the non-oscillation of second order scalar nonlinear differential equations on
Mingarelli, Angelo B.   +1 more
core   +3 more sources

Solving optimal control problems with integral equations or integral equations - differential with the help of cubic B-spline scaling functions and wavelets

open access: yesپژوهش‌های ریاضی, 2020
Introduction Optimal control problems (OCPs) appear in a wide class of applications. In the classical control problems, the state-space equations are expressed as differential equations.
Hamid Mesgarani   +2 more
doaj  

Linear Analysis of an Integro-Differential Delay Equation Model

open access: yesInternational Journal of Differential Equations, 2018
This paper presents a computational study of the stability of the steady state solutions of a biological model with negative feedback and time delay. The motivation behind the construction of our system comes from biological gene networks and the model ...
Anael Verdugo
doaj   +1 more source

Periodic solutions of integro-differential equations in Banach space having Fourier type

open access: yes, 2017
The aim of this work is to study the existence of a periodic solutions of integro-differential equations d dt [x(t)-- L(x t)] = A[x(t)-- L(x t)]+ G(x t)+ t --$\infty$ a(t-- s)x(s)ds+ f (t), (0 $\le$ t $\le$ 2$\pi$) with the periodic condition x(0) = x(2$\
Rachid, Bahloul
core  

Learning nonlinear integral operators via recurrent neural networks and its application in solving integro-differential equations

open access: yesMachine Learning with Applications
In this paper, we propose using LSTM-RNNs (Long Short-Term Memory-Recurrent Neural Networks) to learn and represent nonlinear integral operators that appear in nonlinear integro-differential equations (IDEs).
Hardeep Bassi   +6 more
doaj   +1 more source

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