Results 131 to 140 of about 1,611 (185)

Analysis of hybrid fractional integro-differential equations with application to cholera dynamics. [PDF]

Sci Rep
Algolam MS, Chebab M, Abdo MS, Alshammari F, Aldwoah K.   +4 more
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Numerical robustness of COVID-19 model with Lyapunov stability analysis. [PDF]

Sci Rep
Pandey A, Ghosh S.
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A numerical framework for fractional and fractal-fractional analysis of the Pehlivan chaotic system using Caputo derivative. [PDF]

Sci Rep
Vinoth R, Jayalakshmi M.
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A generalized Chebyshev operational method for Volterra integro-partial differential equations with weakly singular kernels. [PDF]

Heliyon
Sadri K, Amilo D, Hinçal E, Hosseini K, Salahshour S.   +4 more
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Stability and chaos analysis of neurological disorder of complex network with fractional order comparative study. [PDF]

Sci Rep
Farman M, Nisar KS, Sambas A, Bayram M, Hafez M.   +4 more
europepmc   +1 more source

Qualitative Analysis of a Nonautonomous Delayed Stochastic Predator-Prey Model with Beddington-DeAngelis Functional Response. [PDF]

Biology (Basel)
Jia L, Wang C.
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A volterra-type integral equation

Ukrainian Mathematical Journal, 1989
See the review in Zbl 0653.45005.
Ashirov, S., Mamedov, Ya. D.
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Linear Volterra Integral Equations

Acta Mathematicae Applicatae Sinica, English Series, 2002
The authors apply the Kurzweil-Henstock integral formalism to give existence theorems for linear Volterra equations \[ x(t)+^{\ast}\int_{[a,t]}\alpha(s)x(s)\,ds=f(t),\qquad t\in[ a,b],\tag{1} \] where the functions \(x,f\)\ have values in the Banach space \(X\).
Federson, M., Bianconi, R., Barbanti, L.
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Volterra Integral Equations

2011
This chapter is devoted to spectral approximations of the Volterra integral equation (VIE): \(y(t)+\int_{o}^{t}R(t,\tau)y(\tau)=f(t),\,\,t\epsilon[0,T],\)
Jie Shen, Tao Tang, Li-Lian Wang
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On a random Volterra integral equation

Mathematical Systems Theory, 1973
Tsokos [12] showed the existence of a unique random solution of the random Volterra integral equation (*)x(t; ω) = h(t; ω) + ∫ k(t, τ; ω)f(τ, x(τ; ω)) dτ, whereω ∈ Ω, the supporting set of a probability measure space (Ω,A, P)
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