文件名称:NLPforCQSDP
介绍说明--下载内容均来自于网络,请自行研究使用
二次半定规划的非线性规划算法源代码,比内点算法快很多。-Based on the change of , an augmented lagrangian algorithm to solve convex quadratic SDP is proposed. The algorithm’s distinguishing feature is a factorization, the gradient method and an exact linesearch procedure. The convergence of the algorithm is shown. Numerical experiments show that our methods are efficient and robust.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
NLPforCQSDP\barparameter.m
...........\coefficient.m
...........\generateDATE.m
...........\genparameter.m
...........\gradient.m
...........\linesearch.m
...........\main1.m
...........\qsdpAL.m
...........\residual.m
...........\v0.m
NLPforCQSDP