• Applications of singular-value decomposition (SVD) 

      Akritas, A. G.; Malaschonok, G. I. (2004)
      Let A be an m x n matrix with m greater than or equal to n. Then one form of the singular-value decomposition of A is A = U-T SigmaV, where U and V are orthogonal and Sigma is square diagonal. That is, UUT = I-rank(A), VVT ...
    • Computations in modules over commutative domains 

      Akritas, A. G.; Malaschonok, G. I. (2007)
      This paper is a review of results on computational methods of linear algebra over commutative domains. Methods for the following problems are examined: solution of systems of linear equations, computation of determinants, ...