• UF Sparse Matrix Collection
  • Matrix group: Boeing
  • Click here for a description of the Boeing group.
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  • Matrix: Boeing/nasa1824
  • Description: STRUCTURE FROM NASA LANGLEY, 1824 DEGREES OF FREEDOM
  • download as a MATLAB mat-file, file size: 197 KB. Use UFget(363) or UFget('Boeing/nasa1824') in MATLAB.
  • download in Matrix Market format
  • download in Rutherford/Boeing format

    Boeing/nasa1824

    Boeing/nasa1824 graph

    Matrix properties
    number of rows1,824
    number of columns1,824
    nonzeros39,208
    structural full rank?yes
    structural rank1,824
    # of blocks from dmperm1
    # strongly connected comp.1
    entries not in dmperm blocks0
    explicit zero entries0
    nonzero pattern symmetrysymmetric
    numeric value symmetrysymmetric
    typereal
    structuresymmetric
    Cholesky candidate?yes
    positive definite?no

    authorR. Grimes
    editorT. Davis
    date1995
    kindduplicate structural problem
    2D/3D problem?yes

    Additional fieldssize and type
    bfull 1824-by-1

    Notes:

    Let A1=Nasa/nasa1824 and A2=Boeing/nasa1824.  A1 and A2 have the same 
    nonzero pattern.  A1 and A2 differ in value in only 386 entries out of
    39208, and only in 21 columns of the lower triangular part;           
    tril(A(196:321,196:216)) and the same rows of the upper triangular    
    part.  The magnitudes of the entries in A2 in this region of the      
    matrix are all tiny, and have only 9 digits if printed in base-10     
    (unlike the other entries, which have full precision).  I suspect A2  
    (Boeing/nasa1824) is a corrupted version of A1 (Nasa/nasa1824).       
    

    Ordering statistics:AMD METIS
    nnz(chol(P*(A+A'+s*I)*P'))69,309 79,854
    Cholesky flop count4.6e+06 5.8e+06
    nnz(L+U), no partial pivoting136,794 157,884
    nnz(V) for QR, upper bound nnz(L) for LU157,808 138,536
    nnz(R) for QR, upper bound nnz(U) for LU289,058 259,834

    Maintained by Tim Davis, last updated 04-May-2008.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.