نتایج جستجو برای: multiquadrics radial basis functions

تعداد نتایج: 893705  

In this paper, numerical solution of the Benjamin-Bona-Mahony-Burgers (BBMB) equation is obtained by using the mesh-free method based on the collocation method with radial basis functions (RBFs). Stability analysis of the method is discussed. The method is applied to several examples and accuracy of the method is tested in terms of $L_2$ and $L_infty$ error norms.

2010
R. Cavoretto A. De Rossi

In this paper we propose the use of a local image transformation involving radial basis functions for landmark-based registration of medical images. More precisely, we consider radial basis functions as nodal functions in the modified Shepard method. In this way we obtain an image transformation more accurate and stable than the one given by the global radial basis functions, as shown by numeri...

B Soltani, Sh Hosseini

In this paper, bending analysis of concentric and eccentric beam stiffened square and rectangular plate using the meshless collocation method has been investigated. For detecting the governing equations of plate and beams, Mindlin plate theory and Timoshenko beam theory have been used, respectively, with the stiffness matrices of the plate and the beams obtained separately. The stiffness matric...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بناب - دانشکده علوم پایه 1393

در این پایان نامه روش عددی جدید مطرح شده برای معادله ی برگر و برگر- هوکسلی با استفاده از تابع پایه ای شعاعی مالتی کووادریک برای تقریب فضایی و مرتبه ی دوم طرح تفاضل متناهی فشرده بکار گرفته شده است.

2009
Renato Tinós Luiz Otávio Murta Júnior

Radial Basis Function Networks (RBFNs) have been successfully employed in several function approximation and pattern recognition problems. In RBFNs, radial basis functions are used to compute the activation of artificial neurons. The use of different radial basis functions in RBFN has been reported in the literature. Here, the use of the q-Gaussian function as a radial basis function in RBFNs i...

Journal: :Journal of Approximation Theory 2005
Jeremy Levesley X. Sun

Abstract. Within the conventional framework of a native space structure, a smooth kernel generates a small native space, and “radial basis functions” stemming from the smooth kernel are intended to approximate only functions from this small native space. Therefore their approximation power is quite limited. Recently, Narcowich, Schaback and Ward [NSW], and Narcowich and Ward [NW], respectively,...

In this paper, we propose a technique for determining a source term in an inverse heat conduction problem (IHCP) using Radial Basis Functions (RBFs). Because of being very suitable instruments, the RBFs have been applied for solving Partial Dierential Equations (PDEs) by some researchers. In the current study, a stable meshless method will be pro- posed for solving an (I...

ژورنال: پژوهش های ریاضی 2021

Options pricing have an important role in risk control and risk management. Pricing discussion requires modelling process, solving methods and implementing the model by real data in a given market. In this paper we show a model for underlying asset based on fractional stochastic models which is a particular type of behavior of stochastic assets changing. In addition a numerical method based on ...

‎In this work‎, ‎we consider the parabolic equation‎: ‎$u_t-u_{xx}=0$‎. ‎The purpose of this paper is to introduce the method of‎ ‎variational iteration method and radial basis functions for‎ ‎solving this equation‎. ‎Also, the method is implemented to three‎ ‎numerical examples‎. ‎The results reveal‎ ‎that the technique is very effective and simple.

Journal: :international journal of industrial mathematics 0
m. heydari 1 s. m. hosseini q g. b. loghmani q

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