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A NEW INEXACT SEQUENTIAL QUADRATIC PROGRAMMING ALGORITHM
作者姓名:倪勤
作者单位:Department of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016   
基金项目:This work was supported by the National Natural Science Foundation of China.
摘    要:This paper represents an inexact sequential quadratic programming (SQP) algorithm which can solve nonlinear programming (NLP) problems. An inexact solution of the quadratic programming subproblem is determined by a projection and contraction method such that only matrix-vector product is required. Some truncated criteria are chosen such that the algorithm is suitable to large scale NLP problem. The global convergence of the algorithm is proved.


A NEW INEXACT SEQUENTIAL QUADRATIC PROGRAMMING ALGORITHM
Ni Qin.A NEW INEXACT SEQUENTIAL QUADRATIC PROGRAMMING ALGORITHM[J].Numerical Mathematics A Journal of Chinese Universities English Series,2002,11(1):1-12.
Authors:Ni Qin
Institution:Department of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016
Abstract:This paper represents an inexact sequential quadratic programming (SQP) algorithm which can solve nonlinear programming (NLP) problems. An inexact solution of the quadratic programming subproblem is determined by a projection and contraction method such that only matrix-vector product is required. Some truncated criteria are chosen such that the algorithm is suitable to large scale NLP problem. The global convergence of the algorithm is proved.
Keywords:SQP method  projection and contraction method  NLP problem  
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