Enrichment of the Finite Element Method With the Reproducing Kernel Particle Method [PDF]
The reproducing kernel particle method (RKPM) has attractive properties in handling high gradients, concentrated forces, and large deformations where other widely implemented methodologies fail. In the present work, a multiple field computational procedure is devised to enrich the finite element method with RKPM, and RKPM with analytical functions. The
Chen, Y., Liu, W.K., Uras, R.A.
openaire +2 more sources
Kernel method for nonlinear Granger causality [PDF]
Important information on the structure of complex systems, consisting of more than one component, can be obtained by measuring to which extent the individual components exchange information among each other.
A. Papoulis +7 more
core +3 more sources
The reproducing kernel method for nonlinear fourth-order BVPs
Based on the reproducing kernel theory, we solve the nonlinear fourth order boundary value problem in the reproducing kernel space $ W_{2}^{5}[0, 1] $.
Shiyv Wang, Xueqin Lv, Songyan He
doaj +1 more source
Using an Effective Numerical Method for Solving a Class of Lane-Emden Equations
We use the reproducing kernel method to solve the well-known classes of Lane-Emden-type equations. These classes of equations have the form of Lane-Emden problem.
Yulan Wang +3 more
doaj +1 more source
Combining the reproducing kernel method with Taylor series expansion to solve systems of nonlinear fractional Volterra integro-differential equations [PDF]
In this article, we present a novel approach for solving systems of nonlinear fractional Volterra integro-differential equations $(NFVI-DEs)$ by reproducing the Hilbert kernel method.
T. Amoozad +3 more
doaj +1 more source
Solving a System of Linear Volterra Integral Equations Using the Modified Reproducing Kernel Method
A numerical technique based on reproducing kernel methods for the exact solution of linear Volterra integral equations system of the second kind is given.
Li-Hong Yang +2 more
doaj +1 more source
Analytic Kramer kernels, Lagrange-type interpolation series and de Branges spaces [PDF]
The classical Kramer sampling theorem provides a method for obtaining orthogonal sampling formulas. In particular, when the involved kernel is analytic in the sampling parameter it can be stated in an abstract setting of reproducing kernel Hilbert spaces
Antonio G. García +16 more
core +2 more sources
A Quasi-Convex RKPM for 3D Steady-State Thermomechanical Coupling Problems
A meshless, quasi-convex reproducing kernel particle framework for three-dimensional steady-state thermomechanical coupling problems is presented in this paper.
Lin Zhang +3 more
doaj +1 more source
Reproducing kernel functions for the generalized Kuramoto-Sivashinsky equation
Reproducing kernel functions are obtained for the solution of generalized Kuramoto–Sivashinsky (GKS) equation in this paper. These reproducing kernel functions are valuable in the reproducing kernel Hilbert space method.
Akgül Ali +3 more
doaj +1 more source
In this paper, we structure some new reproducing kernel spaces based on Jacobi polynomial and give a numerical solution of a class of time fractional order diffusion equations using piecewise reproducing kernel method (RKM).
Xiaoli Zhang +4 more
doaj +1 more source

