Automatic approximation using asymptotically optimal adaptive interpolation

نویسندگان

چکیده

Abstract We present an asymptotic analysis of adaptive methods for L p approximation functions f ∈ C r ([ a , b ]), where $1\le p\le +\infty $ 1 ≤ p + ∞ . The rely on piecewise polynomial interpolation degree − 1 with strategy selecting m subintervals. optimal speed convergence is in this case order and it already achieved by the uniform (nonadaptive) subdivision initial interval; however, constant crucially depends chosen strategy. derive asymptotically best strategies show their applicability to automatic given accuracy ε

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Automatic integration using asymptotically optimal adaptive Simpson quadrature

We present a novel theoretical approach to the analysis of adaptive quadratures and adaptive Simpson quadratures in particular which leads to the construction of a new algorithm for automatic integration. For a given function [Formula: see text] with [Formula: see text] and possible endpoint singularities the algorithm produces an approximation to [Formula: see text] within a given [Formula: se...

متن کامل

A GA-Based Method for Function Approximation Using Adaptive Interpolation

We are developing GA-based tools for use in constructing high quality approximations to continuous functions. In this paper we report on a GA-based method for adaptively selecting e ective interpolation points. We evaluate our approach on a variety of test functions, and we compare are results to more traditional approaches. The results are quite promising and suggest directions for further imp...

متن کامل

Adaptive, optimal-recovery image interpolation

We consider the problem of image interpolation using adaptive optimal recovery. We adaptively estimate the local quadratic signal class of our image pixels. We then use optimal recovery to estimate the missing local samples based on this quadratic signal class. This approach tends preserve edges, interpolating along edges and not across them.

متن کامل

Asymptotically Optimal Approximation and Numerical Solutions of Diierential Equations Asymptotically Optimal Approximation and Numerical Solutions of Diierential Equations

Given nite subset J IR n , and a point 2 IR n , we study in this paper the possible convergence, as h ! 0, of the coeecients in least-squares approximation to f(+hh) from the space spanned by (f(+ hj) j2J. We invoke thèleast solution of the polynomial interpolation problem' to show that the coeecient do converge for a generic J and , provided that the underlying function f is suuciently smooth....

متن کامل

H∞ Optimal Approximation for Causal Spline Interpolation

In this paper, we give a causal solution to the problem of spline interpolation using H∞ optimal approximation. Generally speaking, spline interpolation requires filtering the whole sampled data, the past and the future, to reconstruct the inter-sample values. This leads to non-causality of the filter, and this becomes a critical issue for real-time applications. Our objective here is to derive...

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

ژورنال

عنوان ژورنال: Numerical Algorithms

سال: 2021

ISSN: ['1017-1398', '1572-9265']

DOI: https://doi.org/10.1007/s11075-021-01114-9