In this work, combining the properties of the generalized super-memory gradient projection methods with the ideas of the strongly sub-feasible directions methods, we present a new algorithm with strong convergence for nonlinear inequality constrained optimization. At each iteration, the proposed alg
✦ LIBER ✦
A newɛ-generalized projection method of strongly sub-feasible directions for inequality constrained optimization
✍ Scribed by Jinbao Jian; Guodong Ma; Chuanhao Guo
- Book ID
- 107347286
- Publisher
- Academy of Mathematics and Systems Science, Chinese Academy of Sciences
- Year
- 2011
- Tongue
- English
- Weight
- 282 KB
- Volume
- 24
- Category
- Article
- ISSN
- 1009-6124
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