Matrix: Hollinger/g7jac010sc

Description: Jacobian from CEPII's 'G7marmotte' OLG model, oldstack 010 (scaled)

Hollinger/g7jac010sc graph Hollinger/g7jac010sc graph
(bipartite graph drawing) (graph drawing of A+A')


Hollinger/g7jac010sc dmperm of Hollinger/g7jac010sc
scc of Hollinger/g7jac010sc

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  • Matrix group: Hollinger
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  • download as a MATLAB mat-file, file size: 171 KB. Use UFget(546) or UFget('Hollinger/g7jac010sc') in MATLAB.
  • download in Matrix Market format, file size: 223 KB.
  • download in Rutherford/Boeing format, file size: 207 KB.

    Matrix properties
    number of rows2,880
    number of columns2,880
    nonzeros18,229
    structural full rank?yes
    structural rank2,880
    # of blocks from dmperm177
    # strongly connected comp.107
    explicit zero entries1,406
    nonzero pattern symmetry 7%
    numeric value symmetry 0%
    typereal
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorP. Hollinger
    editorT. Davis
    date2001
    kindeconomic problem
    2D/3D problem?no

    Additional fieldssize and type
    bfull 2880-by-1
    xfull 2880-by-1

    Ordering statistics:result
    nnz(chol(P*(A+A'+s*I)*P')) with AMD157,432
    Cholesky flop count3.2e+07
    nnz(L+U), no partial pivoting, with AMD311,984
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD155,210
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD278,820

    Note that all matrix statistics (except nonzero pattern symmetry) exclude the 1406 explicit zero entries.

    SVD-based statistics:
    norm(A)13934.5
    min(svd(A))3.97831e-10
    cond(A)3.50262e+13
    rank(A)2,878
    sprank(A)-rank(A)2
    null space dimension2
    full numerical rank?no
    singular value gap5.32371

    singular values (MAT file):click here
    SVD method used:s = svd (full (A)) ;
    status:ok

    Hollinger/g7jac010sc 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.