Combining the norm-relaxed sequential quadratic programming (SQP) method and the idea of method of quasi-strongly sub-feasible directions (MQSSFD) with active set identification technique, a new SQP algorithm for solving nonlinear inequality constrained optimization is proposed. Unlike the previous
β¦ LIBER β¦
A superlinearly convergent norm-relaxed method of quasi-strongly sub-feasible direction for inequality constrained minimax problems
β Scribed by Jian, Jin-bao; Li, Jie; Zheng, Hai-yan; Li, Jian-ling
- Book ID
- 122119094
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 541 KB
- Volume
- 226
- Category
- Article
- ISSN
- 0096-3003
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