Block partitioning: Difference between revisions
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'''Block partitioning''' in ASCEND is the process by which large systems of equations, are divided into smaller blocks that can then sequentially be solved as smaller sub-problems. Block partitioning essentially requires re-ordering the relations and variables such that the Jacobian matrix is as close as possible to lower-triangular form. | '''Block partitioning''' in ASCEND is the process by which large systems of equations, are divided into smaller blocks that can then sequentially be solved as smaller sub-problems in the [[QRSlv]] solver. Block partitioning essentially requires re-ordering the relations and variables such that the Jacobian matrix is as close as possible to lower-triangular form. | ||
See [[Incidence matrix]] for some graphical examples. | See [[Incidence matrix]] for some graphical examples. | ||
[[Category:Documentation]] | [[Category:Documentation]] | ||
Latest revision as of 05:19, 3 February 2011
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Block partitioning in ASCEND is the process by which large systems of equations, are divided into smaller blocks that can then sequentially be solved as smaller sub-problems in the QRSlv solver. Block partitioning essentially requires re-ordering the relations and variables such that the Jacobian matrix is as close as possible to lower-triangular form.
See Incidence matrix for some graphical examples.