Multilevel Evaluation of Integral Transforms Withasymptotically Smooth

نویسنده

  • C. H. VENNER
چکیده

Multilevel algorithms developed for the fast evaluation of integral transforms and the solution of the corresponding integral and integro-diierentialequations rely on smoothnessproperties of the discrete kernel (matrix) and thereby on grid uniformity (see 6], 18]). However, in actual applications, e.g. in contact mechanics, in many cases a substantial increase of eeciency can be obtained using non-uniform grids, since the solution is smooth in large parts of the domain with large gradients that occur only locally. In this paper a new algorithm is presented which relies on the smoothness of the continuumkernel only, independent of the grid connguration. This will facilitate the introduction of local reenements, wherever needed. Also, the evaluations will generally be faster; for a d dimensional problem only O(s d+1) operations per gridpoint are needed, if s is the order of discretization. The algorithm is tested using a one dimensional model problem with logarithmic kernel. Results are presented using both a second and fourth order discretization. For testing purposes, and to compare with results presented in 6], uniform grids covering the entire domain were considered rst.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multilevel Evaluation of Multidimensional Integral Transforms with Asymptotically Smooth Kernels

In many practical applications of numerical methods a substantial increase in efficiency can be obtained by using local grid refinement, since the solution is generally smooth in large parts of the domain and large gradients occur only locally. Fast evaluation of integral transforms on such an adaptive grid requires an algorithm that relies on the smoothness of the continuum kernel only, indepe...

متن کامل

Fast Multilevel Evaluation of 1-D Piecewise Smooth Radial Basis Function Expansions

Radial basis functions (RBFs) are a powerful tool for interpolating/approximating multidimensional scattered data in R. However, a direct evaluation of an n-center RBF expansion at m points requires O(nm) operations, which is prohibitively expensive as n,m increase. We present a new multilevel method for uniformly dense centers and points and d = 1, whose cost is only O(C(n + m)), where C depen...

متن کامل

Hyperbolic Cross Approximation of Integraloperators with Smooth Kernel

This paper is concerned with the construction and use of trigonometric approximation spaces for the approximate evaluation of integral operators with smooth kernels. The smoothness classes we consider are mixtures of classes of functions of dominating mixed derivative. We deene a scale of nested approximation spaces for the approximation of the kernel that includes the standard full grid spaces...

متن کامل

Fast Multilevel Evaluation of Smooth Radial Basis Function Expansions

Abstract. Radial basis functions (RBFs) are a powerful tool for interpolating/approximating multidimensional scattered data. Notwithstanding, RBFs pose computational challenges, such as the efficient evaluation of an n-center RBF expansion at m points. A direct summation requires O(nm) operations. We present a new multilevel method whose cost is only O((n + m) ln(1/δ)), where δ is the desired a...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1995