Data Processing with Combined Homotopy Methods for a Class of Nonconvex Optimization Problems
2014 ◽
Vol 1046
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pp. 403-406
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Keyword(s):
On the existing theoretical results, this paper studies the realization of combined homotopy methods on optimization problems in a specific class of nonconvex constrained region. Contraposing to this nonconvex constrained region, we give the structure method of the quasi-normal, prove that the chosen mappings on constrained grads are positive independent and the feasible region on SLM satisfies the quasi-normal cone condition. And we construct combined homotopy equation under the quasi-normal cone condition with numerical value and examples, and get a preferable result by data processing.
2015 ◽
Vol 171
(2)
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pp. 600-616
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2020 ◽
Vol 31
(5)
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pp. 1475-1488
2019 ◽
Vol 76
(4)
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pp. 863-887
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2011 ◽
Vol 21
(2)
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pp. 317-329
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