On the Location of Directions of Infinite Descent for Nonlinear Programming Algorithms

There is much current interest in general equality constrained quadratic programming problems, both for their own sake and for their applicability to active set methods for nonlinear programming. In the former case, typically, the issues are existence of solutions and their determination. In the lat...

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Veröffentlicht in:SIAM journal on numerical analysis Jg. 21; H. 6; S. 1162 - 1179
Hauptverfasser: Conn, Andrew R., Nicholas I. M. Gould
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Philadelphia, PA Society for Industrial and Applied Mathematics 01.12.1984
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ISSN:0036-1429, 1095-7170
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Zusammenfassung:There is much current interest in general equality constrained quadratic programming problems, both for their own sake and for their applicability to active set methods for nonlinear programming. In the former case, typically, the issues are existence of solutions and their determination. In the latter instance, nonexistence of solutions gives rise to directions of infinite descent. Such directions may subsequently be used to determine a more desirable active set. The generalised Cholesky decomposition of relevant matrices enables us to answer the question of existence and to determine directions of infinite descent (when applicable) in an efficient and stable manner. The methods examined are related to implementations that are suitable for null-space, range-space and Lagrangian methods.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
content type line 14
ISSN:0036-1429
1095-7170
DOI:10.1137/0721072