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On Computing Schur Functions and Series Thereof

Authors :
Raymond Kan
Plamen Koev
Vesselin Drensky
Alan Edelman
Cy Chan
Source :
Springer US, Chan, CP; Drensky, V; Edelman, A; Kan, R; & Koev, P. (2017). On Computing Schur Functions and Series Thereof. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/5v4517z6
Publication Year :
2021
Publisher :
eScholarship, University of California, 2021.

Abstract

In this paper, we present two new algorithms for computing all Schur functions $$s_\kappa (x_1,\ldots ,x_n)$$ s κ ( x 1 , … , x n ) for partitions $$\kappa $$ κ such that $$|\kappa |\le N$$ | κ | ≤ N . For nonnegative arguments, $$x_1,\ldots ,x_n$$ x 1 , … , x n , both algorithms are subtraction-free and thus each Schur function is computed to high relative accuracy in floating point arithmetic. The cost of each algorithm per Schur function is $$\mathscr {O}(n^2)$$ O ( n 2 ) .

Details

Database :
OpenAIRE
Journal :
Springer US, Chan, CP; Drensky, V; Edelman, A; Kan, R; & Koev, P. (2017). On Computing Schur Functions and Series Thereof. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/5v4517z6
Accession number :
edsair.doi.dedup.....ac836ccdff5cb7a0103ad61716c97169