• DocumentCode
    1232731
  • Title

    Order-recursive Gaussian elimination

  • Author

    Misra, Pradeep

  • Author_Institution
    Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
  • Volume
    32
  • Issue
    1
  • fYear
    1996
  • Firstpage
    396
  • Lastpage
    400
  • Abstract
    Gaussian elimination with partial pivoting is the most favored technique for solution of a system of linear algebraic equations. However, in the existing form the algorithm requires the entire data before it can be implemented. In some applications, the data matrix is recursively augmented with new row and column vectors. Recomputing the entire solution from a scratch becomes expensive 𝒪(n 4). We propose an order-recursive version of Gaussian elimination with complexity 𝒪(n 3) to solve the recursively augmented system of equation.
  • Keywords
    Gaussian processes; filtering theory; linear algebra; recursive estimation; data matrix; linear algebraic equations; order-recursive Gaussian elimination; order-recursive version; partial pivoting; recomputing; recursively augmented system of equation; Argon; Computational efficiency; Eigenvalues and eigenfunctions; Equations; Filtering theory; Interpolation; Kalman filters; Optical computing; Signal processing; Signal processing algorithms; Vectors;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.481279
  • Filename
    481279