Sparse Interpolation of Symmetric Polynomials
β Scribed by Alexander Barvinok; Sergey Fomin
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 225 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0196-8858
No coin nor oath required. For personal study only.
β¦ Synopsis
We develop efficient algorithms for computing the expansion of a given symmetric polynomial into Schur functions. This problem frequently arises in applications Ε½ as the problem of decomposing a given representation of the symmetric or general . linear group into irreducible constituents. Our algorithms are probabilistic, and run in time which is polynomial in the sizes of the input and output. They can be used to compute LittlewoodαRichardson coefficients, Kostka numbers, and irreducible characters of the symmetric group.
π SIMILAR VOLUMES
## Abstract Several representations for the interpolating polynomial exist: Lagrange, Newton, orthogonal polynomials, etc. Each representation is characterized by some basis functions. In this paper we investigate the transformations between the basis functions which map a specific representation t
What happens to sparse resultants under composition? More precisely, let f 1 , . . . , fn be homogeneous sparse polynomials in the variables y 1 , . . . , yn and g 1 , . . . , gn be homogeneous sparse polynomials in the variables x 1 , . . . , xn. Let f i β’ (g 1 , . . . , gn) be the sparse homogeneo
This paper is the second in a series of papers on sparse resultants of composed polynomials. In the first paper, "Sparse Resultant of Composed Polynomials I", Hong and Minimair (2000, http://minimair.org/HM2000.ps) considered the sparse resultant of polynomials having arbitrary (mixed) supports comp