Numeric and symbolic evaluation of the Pfaffian of general skew-symmetric matrices. The evaluation of Pfaffians arises in a number of physics applications, and for some of them a direct method is preferable to using the determinantal formula. We discuss two methods for the numerical evaluation of Pfaffians. The first one is tridiagonalization based on Householder transformations. The main advantage of this method is its numerical stability that makes the implementation of a pivoting strategy unnecessary. The second method considered is based on Aitken’s block diagonalization formula. It yields a kind of LU (similar to Cholesky’s factorization) decomposition (under congruence) of arbitrary skew-symmetric matrices that is well suited both for the numeric and symbolic evaluations of the Pfaffian. Fortran subroutines (FORTRAN 77 and 90) implementing both methods are given. We also provide simple implementations in Python and Mathematica for purpose of testing, or for exploratory studies of methods that make use of Pfaffians.
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Tagami, Shingo; Shimizu, Yoshifumi R.: Efficient method to perform quantum number projection and configuration mixing for most general mean-field states (2012)
- González-Ballestero, C.; Robledo, L.M.; Bertsch, G.F.: Numeric and symbolic evaluation of the Pfaffian of general skew-symmetric matrices (2011)
- Rubow, Jürgen; Wolff, Ulli: A factorization algorithm to compute Pfaffians (2011)