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pro vyhledávání: '"Babak Azarnavid"'
Publikováno v:
Mathematical Modelling and Analysis, Vol 20, Iss 6 (2015)
An iterative method is discussed with respect to its effectiveness and capability of solving singular nonlinear Lane-Emden type equations using reproducing kernel Hilbert space method combined with the Picard iteration. Some new error estimates for a
Externí odkaz:
https://doaj.org/article/24841270560e4fab974b47e109e32a32
Publikováno v:
Applied Numerical Mathematics. 181:518-533
Autor:
Babak Azarnavid
Publikováno v:
Computational and Applied Mathematics. 42
Publikováno v:
Journal of Computational and Applied Mathematics. 361:97-112
An iterative multistep kernel based method is proposed for the nonlinear Volterra integral equations and nonlinear Volterra integro-differential equations of fractional order, which can produce reliable globally smooth numerical solutions. An error e
Publikováno v:
Chaos, Solitons & Fractals. 159:112159
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation. 59:544-552
This article discusses an iterative reproducing kernel method with respect to its effectiveness and capability of solving a fourth-order boundary value problem with nonlinear boundary conditions modeling beams on elastic foundations. Since there is n
Autor:
Kourosh Parand, Babak Azarnavid
Publikováno v:
Journal of Computational and Applied Mathematics. 328:151-163
In this paper, an iterative method is proposed to solve the nonlinear Bitsadze–Samarskii boundary value problems with multi-point boundary conditions. The algorithm is based on the reproducing kernel Hilbert space method. We use an iterative scheme
Publikováno v:
Neural Computing and Applications. 31:2233-2241
In the current work, an interesting and challenging mathematical model for a two-dimensional capillary formation model in tumor angiogenesis problem will be investigated numerically. The mathematical model describes progression of tumor angiogenic fa
Autor:
Saeid Abbasbandy, Babak Azarnavid
Publikováno v:
Journal of Computational and Applied Mathematics. 296:789-797
In this paper we derive some effective error estimates for the reproducing kernel Hilbert space method applied to a general class of linear initial or boundary value problems. The first error estimate is computable and yields a worst case bound in th
Publikováno v:
Mathematical Modelling and Analysis; Vol 20 No 6 (2015); 754-767
Mathematical Modelling and Analysis, Vol 20, Iss 6 (2015)
Mathematical Modelling and Analysis, Vol 20, Iss 6 (2015)
An iterative method is discussed with respect to its effectiveness and capability of solving singular nonlinear Lane-Emden type equations using reproducing kernel Hilbert space method combined with the Picard iteration. Some new error estimates for a