An iterative convex simplex method for geometric programming with applications†
作者:
JATIK. SENGUPTA,
期刊:
International Journal of Systems Science
(Taylor Available online 1977)
卷期:
Volume 8,
issue 1
页码: 49-63
ISSN:0020-7721
年代: 1977
DOI:10.1080/00207727708942022
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
An iterative linear computational method which utilizes the theory of condensation of polynomials and varies parametrically the objective function of a linearized geometric programme is extended and applied hero to minimize a polynomial subject to polynomial constraints. Applications to dynamic planning and scheduling problems are also briefly referred to.
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