Matrix: Oberwolfach/rail_20209

Description: Oberwolfach: heat transfer, steel profile cooling

Oberwolfach/rail_20209 graph
(undirected graph drawing)


Oberwolfach/rail_20209

  • Home page of the UF Sparse Matrix Collection
  • Matrix group: Oberwolfach
  • Click here for a description of the Oberwolfach group.
  • Click here for a list of all matrices
  • Click here for a list of all matrix groups
  • download as a MATLAB mat-file, file size: 982 KB. Use UFget(1443) or UFget('Oberwolfach/rail_20209') in MATLAB.
  • download in Matrix Market format, file size: 993 KB.
  • download in Rutherford/Boeing format, file size: 881 KB.

    Matrix properties
    number of rows20,209
    number of columns20,209
    nonzeros139,233
    structural full rank?yes
    structural rank20,209
    # of blocks from dmperm1
    # strongly connected comp.1
    explicit zero entries0
    nonzero pattern symmetrysymmetric
    numeric value symmetrysymmetric
    typereal
    structuresymmetric
    Cholesky candidate?no
    positive definite?no

    authorP. Benner, J. Saak
    editorE. Rudnyi
    date2002
    kindmodel reduction problem
    2D/3D problem?yes

    Additional fieldssize and type
    Esparse 20209-by-20209
    Bsparse 20209-by-7
    Csparse 6-by-20209

    Notes:

    Primary matrix in this model reduction problem is the Oberwolfach A matrix
    

    Ordering statistics:result
    nnz(chol(P*(A+A'+s*I)*P')) with AMD331,190
    Cholesky flop count1.4e+07
    nnz(L+U), no partial pivoting, with AMD642,171
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD790,024
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD1,698,034

    SVD-based statistics:
    norm(A)5.5875e-05
    min(svd(A))2.38323e-10
    cond(A)234451
    rank(A)20,209
    sprank(A)-rank(A)0
    null space dimension0
    full numerical rank?yes

    singular values (MAT file):click here
    SVD method used:s = svd (full (R)) ; where [~,R,E] = spqr (A) with droptol of zero
    status:ok

    Oberwolfach/rail_20209 svd

    For a description of the statistics displayed above, click here.

    Maintained by Tim Davis, last updated 12-Mar-2014.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.