Login / Signup
A superlinearly convergent norm-relaxed SQP method of strongly sub-feasible directions for constrained optimization without strict complementarity.
Jin-Bao Jian
Xiao-yan Ke
Wei-xin Cheng
Published in:
Appl. Math. Comput. (2009)
Keyphrases
</>
constrained optimization
objective function
probabilistic model
optimization algorithm
k means
search methods
penalty function
unconstrained optimization
lagrange multiplier method