文件名称:NLPforCQSDP
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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.
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下载文件列表
NLPforCQSDP/barparameter.m
NLPforCQSDP/coefficient.m
NLPforCQSDP/generateDATE.m
NLPforCQSDP/genparameter.m
NLPforCQSDP/gradient.m
NLPforCQSDP/linesearch.m
NLPforCQSDP/main1.m
NLPforCQSDP/qsdpAL.m
NLPforCQSDP/residual.m
NLPforCQSDP/v0.m
NLPforCQSDP
NLPforCQSDP/coefficient.m
NLPforCQSDP/generateDATE.m
NLPforCQSDP/genparameter.m
NLPforCQSDP/gradient.m
NLPforCQSDP/linesearch.m
NLPforCQSDP/main1.m
NLPforCQSDP/qsdpAL.m
NLPforCQSDP/residual.m
NLPforCQSDP/v0.m
NLPforCQSDP
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