Compact Matérn Kernels and Piecewise Polynomial Splines Viewed From a Hilbert-Schmidt Perspective

نویسندگان

  • Roberto Cavoretto
  • Gregory E. Fasshauer
  • Michael J. McCourt
چکیده

Differential operators and associated boundary conditions have been used to define interpolating splines, such as L-splines, since the mid 1960s. This work adapts that approach to define kernels which can be used to perform equivalent interpolation. While a closed form of these kernels is generally unavailable, their eigenexpansions can be determined by solving the Sturm-Liouville eigenvalue problem arising from the given differential operator and boundary conditions, allowing for computation with the kernels using the RBF-QR technique. Numerical results involving these methods show convergence orders commensurate with L-spline theory.

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

Green’s Functions: Taking Another Look at Kernel Approximation, Radial Basis Functions and Splines

The theories for radial basis functions (RBFs) as well as piecewise polynomial splines have reached a stage of relative maturity as is demonstrated by the recent publication of a number of monographs in either field. However, there remain a number of issues that deserve to be investigated further. For instance, it is well known that both splines and radial basis functions yield “optimal” interp...

متن کامل

Shape-adaptive Networks Based on Piecewise Polynomial Kernels

Network structures are being increasingly used to represent and approximate multi-variate continuous mappings based on limited data samples. Networks derived from regu-larization networks, such as radial basis functions (RBF's), are based on combinations of multivariate kernels or basis functions. The selected kernels can be viewed as local descrip-tors of the unknown function and since the dat...

متن کامل

Piecewise Polynomial Kernels for Image Interpolation: A Generalization of Cubic Convolution

A well-known approach to image interpolation is cubic convolution, in which the ideal sinc function is modelled by a finite extent kernel, which consists of piecewise third order polynomials. In this paper we show that the concept of cubic convolution can be generalized. We derive kernels of up to ninth order and compare them both mutually and to cardinal splines of corresponding orders. From s...

متن کامل

On the graphical display of Powell-Sabin splines: a comparison of three piecewise linear approximations

Powell-Sabin splines are C-continuous piecewise quadratic polynomials defined on arbitrary triangulations. They admit a compact representation in a normalized B-spline basis with a geometric interpretation involving control triangles. This paper discusses several piecewise linear approximations for the graphical display of PowellSabin splines. We analyse their approximation error to the spline ...

متن کامل

Splines with non positive kernels

Non parametric regression methods can be presented in two main clusters. The one of smoothing splines methods requiring positive kernels and the other one known as Nonparametric Kernel Regression allowing the use of non positive kernels such as the Epanechnikov kernel. We propose a generalization of the smoothing spline method to include kernels which are still symmetric but not positive semi d...

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 2013