A restoration-free filter SQP algorithm for equality constrained optimization

In this paper, a trust-region sequential quadratic programming algorithm with a modified filter acceptance mechanism is proposed for nonlinear equality constrained optimization. The most important advantage of the proposed algorithm is its avoidance of any feasibility restoration phase, a necessity...

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Vydáno v:	Applied mathematics and computation Ročník 219; číslo 11; s. 6016 - 6029
Hlavní autoři:	Zhu, Xiaojing, Pu, Dingguo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.02.2013
Témata:	Algorithms Constrained optimization Constraints Convergence Feasibility Feasibility restoration Filter Mathematical models Optimization Quadratic programming Sequential quadratic programming Feasibility restoration Sequential quadratic programming Filter Constrained optimization
ISSN:	0096-3003, 1873-5649
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