Matrix: Janna/Bump_2911

Description: 3D geomechanical reservoir simulation

Janna/Bump_2911 graph
(undirected graph drawing)


Janna/Bump_2911 dmperm of Janna/Bump_2911

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  • Matrix group: Janna
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  • download as a MATLAB mat-file, file size: 733 MB. Use UFget(2659) or UFget('Janna/Bump_2911') in MATLAB.
  • download in Matrix Market format, file size: 597 MB.
  • download in Rutherford/Boeing format, file size: 470 MB.

    Matrix properties
    number of rows2,911,419
    number of columns2,911,419
    nonzeros127,729,899
    structural full rank?yes
    structural rank2,911,419
    # of blocks from dmperm58,990
    # strongly connected comp.58,990
    explicit zero entries0
    nonzero pattern symmetrysymmetric
    numeric value symmetrysymmetric
    typereal
    structuresymmetric
    Cholesky candidate?yes
    positive definite?yes

    authorC. Janna, M. Ferronato
    editorT. Davis
    date2014
    kind2D/3D problem
    2D/3D problem?yes

    Notes:

    Janna/Bump_2911: 3D geomechanical reservoir simulation           
                                                                     
    Authors: Carlo Janna and Massimiliano Ferronato                  
    Symmetric Positive Definite Matrix                               
    # equations:     2,911,419                                       
    # non-zeroes:  130,378,257                                       
                                                                     
    The matrix Bump_2911 is obtained from the 3D geomechanical       
    simulation of a gas-reservoir discretized by linear tetrahedral  
    Finite Elements. The mechanical properties of the medium vary    
    with the depth and the geological formation. Zero displacement   
    are applied on bottom and lateral boundary, while a traction-free
    top boundary is assumed.                                         
                                                                     
    Further information may be found in the following papers:        
                                                                     
    1) C. Janna, M. Ferronato, G. Gambolati. "Enhanced Block FSAI    
    preconditioning using Domain Decomposition techniques". SIAM     
    Journal on Scientific Computing, 35, pp. S229-S249, 2013.        
                                                                     
    2) C. Janna, M. Ferronato, G. Gambolati. "The use of supernodes  
    in factored sparse approximate inverse preconditioning". SIAM    
    Journal on Scientific Computing, submitted.                      
    

    Ordering statistics:result
    nnz(chol(P*(A+A'+s*I)*P')) with AMD46,256,036,210
    Cholesky flop count4.0e+15
    nnz(L+U), no partial pivoting, with AMD92,509,161,001
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD59,141,190,270
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD99,758,707,809

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

    Maintained by Tim Davis, last updated 04-Jun-2015.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.