SparseSYM SOE: Difference between revisions

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This command is used to construct a sparse symmetric system of equations which uses the [http://www.cise.ufl.edu/research/sparse/umfpack/ UmfPack] solver. To following command is used to construct such a system:
This command is used to construct a sparse symmetric system of equations which uses a row-oriented solution method in the solution phase. The following command is used to construct such a system:


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NOTES:
NOTES:
* versions upto and including 2.2.0 use SparseSPD instead of sparseSYM as the option to the system command. This option continues to work.
* versions upto and including 2.2.0 use SparseSPD instead of SparseSYM as the option to the system command. For backward compatability this old option continues to work.
 


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Kincho H. Law and David R. McKay, “A Parallel Row-Oriented Sparse Solution Method for Finite Element Structural Analysis,” International Journal for Numerical Methods in Engineering, 36:2895-2919, 1993.  
Kincho H. Law and David R. McKay, “A Parallel Row-Oriented Sparse Solution Method for Finite Element Structural Analysis,” International Journal for Numerical Methods in Engineering, 36:2895-2919, 1993.  
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Code Developed by: <span style="color:blue"> Jun Peng, Stanford and now GOOGLE </span>
Code Developed by: <span style="color:blue"> Jun Peng, Stanford and now GOOGLE </span>

Latest revision as of 08:44, 10 June 2016




This command is used to construct a sparse symmetric system of equations which uses a row-oriented solution method in the solution phase. The following command is used to construct such a system:

system SparseSYM



NOTES:

  • versions upto and including 2.2.0 use SparseSPD instead of SparseSYM as the option to the system command. For backward compatability this old option continues to work.



REFERENCES:

Kincho H. Law and David R. McKay, “A Parallel Row-Oriented Sparse Solution Method for Finite Element Structural Analysis,” International Journal for Numerical Methods in Engineering, 36:2895-2919, 1993.



Code Developed by: Jun Peng, Stanford and now GOOGLE