A general technique for dealing with degeneracy in reduced gradient methods for linearly constrained nonlinear programming

A generalized super-memory gradient proj

A generalized super-memory gradient projection method of strongly sub-feasible directions with strong convergence for nonlinear inequality constrained optimization

✍ Jin-Bao Jian; You-Fang Zeng; Chun-Ming Tang 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 362 KB

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