• SJSU Singular Matrix Database
  • Matrix group: Sandia
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  • Matrix: Sandia/oscil_dcop_50
  • Description: Sandia/oscil_dcop_50 circuit simulation matrix. Sandia National Lab.
  • download as a MATLAB mat-file, file size: 12 KB. Use SJget(199) or SJget('Sandia/oscil_dcop_50') in MATLAB.
  • download in Matrix Market format, file size: 14 KB.
  • download in Rutherford/Boeing format, file size: 13 KB.


    Routine svd from Matlab (R2008a) used to calculate the singular values.


    dmperm of Sandia/oscil_dcop_50

    scc of Sandia/oscil_dcop_50

    Matrix properties (click for a legend)  
    number of rows430
    number of columns430
    structural full rank?yes
    structural rank430
    numerical rank 410
    dimension of the numerical null space20
    numerical rank / min(size(A))0.95349
    Euclidean norm of A 2.001e+006
    calculated singular value # 4101.2945e-007
    numerical rank defined using a tolerance
    max(size(A))*eps(norm(A)) =
    calculated singular value # 4119.1632e-009
    gap in the singular values at the numerical rank:
    singular value # 410 / singular value # 411
    calculated condition number3.8693e+020
    # of blocks from dmperm31
    # strongly connected comp.9
    entries not in dmperm blocks62
    explicit zero entries0
    nonzero pattern symmetry 98%
    numeric value symmetry 70%
    Cholesky candidate?no
    positive definite?no

    authorR. Hoekstra
    editorT. Davis
    kindsubsequent circuit simulation problem
    2D/3D problem?no

    Additional fieldssize and type
    bfull 430-by-1


    next: Sandia/oscil_dcop_51 first: Sandia/oscil_dcop_01

    Ordering statistics:AMD METIS DMPERM+
    nnz(chol(P*(A+A'+s*I)*P'))1,439 1,546 1,455
    Cholesky flop count5.2e+003 6.2e+003 5.6e+003
    nnz(L+U), no partial pivoting2,448 2,662 2,542
    nnz(V) for QR, upper bound nnz(L) for LU1,830 1,928 1,777
    nnz(R) for QR, upper bound nnz(U) for LU3,504 3,832 3,076

    Maintained by Leslie Foster, last updated 24-Apr-2009.

    Entries 5 through 14 in the table of matrix properties and the singular
    value plot were created using SJsingular code. The other plots
    and statistics are produced using utilities from the SuiteSparse package.
    Matrix color plot pictures by cspy, a MATLAB function in the CSparse package.