Sparse polynomial interpolation in Chebyshev bases
نویسندگان
چکیده
We study the problem of reconstructing a sparse polynomial in a basis of Chebyshev polynomials (Chebyshev basis in short) from given samples on a Chebyshev grid of [−1, 1]. A polynomial is called M -sparse in a Chebyshev basis, if it can be represented by a linear combination of M Chebyshev polynomials. For a polynomial with known and unknown Chebyshev sparsity, respectively, we present efficient reconstruction methods, where Prony–like methods are used. The reconstruction results are mainly presented for bases of Chebyshev polynomials of first and second kind, respectively. But similar issues can be obtained for bases of Chebyshev polynomials of third and fourth kind, respectively.
منابع مشابه
Algorithms for computing sparsest shifts of polynomials in power, Chebyshev, and Pochhammer bases
We give a new class of algorithms for computing sparsest shifts of a given polynomial. Our algorithms are based on the early termination version of sparse interpolation algorithms: for a symbolic set of interpolation points, a sparsest shift must be a root of the first possible zero discrepancy that can be used as the early termination test. Through reformulating as multivariate shifts in a des...
متن کاملSparse Polynomial Interpolation in Nonstandard Bases
In this paper, we consider the problem of interpolating univariate polynomials over a eld of characteristic zero that are sparse in (a) the Pochhammer basis or, (b) the Chebyshev basis. The polynomials are assumed to be given by black boxes, i.e., one can obtain the value of a polynomial at any point by querying its black box. We describe eecient new algorithms for these problems. Our algorithm...
متن کاملSymbolic-Numeric Sparse Polynomial Interpolation in Chebyshev Basis and Trigonometric Interpolation
We consider the problem of efficiently interpolating an “approximate” black-box polynomial p(x) that is sparse when represented in the Chebyshev basis. Our computations will be in a traditional floating-point environment, and their numerical sensitivity will be investigated. We also consider the related problem of interpolating a sparse linear combination of “approximate” trigonometric function...
متن کاملHigh dimensional polynomial interpolation on sparse grids
We study polynomial interpolation on a d-dimensional cube, where d is large. We suggest to use the least solution at sparse grids with the extrema of the Chebyshev polynomials. The polynomial exactness of this method is almost optimal. Our error bounds show that the method is universal, i.e., almost optimal for many different function spaces. We report on numerical experiments for d = 10 using ...
متن کاملCHEBINT: Operations on multivariate Chebyshev approximations
We detail the implementation of basic operations on multivariate Chebyshev approximations. In most cases, they can be derived directly from well known properties of univariate Chebyshev polynomials. Besides addition, subtraction and multiplication, we discuss integration, indefinite di↵erentiation, indefinite integration and interpolation. The latter three, can be written as matrix-vector produ...
متن کامل