Jpye at 05:19, 3 February 2011

2011-02-03T05:19:31Z

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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]]

Jpye: Created page with '{{incomplete}} '''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 sma…'

2011-02-03T05:18:18Z

Created page with '{{incomplete}} '''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 sma…'

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{{incomplete}}

'''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.

See [[Incidence matrix]] for some graphical examples.

[[Category:Documentation]]

Block partitioning - Revision history

Jpye at 05:19, 3 February 2011

Jpye: Created page with '{{incomplete}} '''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 sma…'