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Constraint qualifications in input optimisation

Published online by Cambridge University Press:  17 February 2009

M. Van Rooyen ,
M. Sears  and
S. Zlobec
M. Van Rooyen
Affiliation:
Department of Computational and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa2001.
M. Sears
Affiliation:
Department of Computational and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa2001.
S. Zlobec
Affiliation:
Department of Mathematics and Statistics, McGill University, Burnside Hall, 805 Sherbrooke Street West, Montreal, Quebec, CanadaH3A 2K6.
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Abstract

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We introduce assumptions in input optimisation that simplify the necessary conditions for an optimal input. These assumptions, in the context of nonlinear programming, give rise to conceptually new kinds of constraint qualifications.

Information

Type
Research Article
Information
The ANZIAM Journal , Volume 30 , Issue 3 , January 1989 , pp. 326 - 342
Copyright
Copyright © Australian Mathematical Society 1989

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