ISSN:
1436-4646
Keywords:
Interior-point methods
;
Primal-dual affine scaling
;
Linear programming
;
Linear complementarity
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
,
Mathematics
Notes:
Abstract We describe an interior-point algorithm for monotone linear complementarity problems in which primal-dual affine scaling is used to generate the search directions. The algorithm is shown to have global and superlinear convergence with Q-order up to (but not including) two. The technique is shown to be consistent with a potential-reduction algorithm, yielding the first potential-reduction algorithm that is both globally and superlinearly convergent.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01585562
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