Supported by National Natural Science Foundation of China(Grant Nos.11671122 and 11371253);Key Scientific Research Project for Colleges and Universities in He’nan Province(Grant No.15A110031);Key Scientific and Technological Project of He’nan Province(Grant No.162102210069);Natural Science Foundation of He’nan Normal University(Grant No.2014QK04);Ph.D. Research Foundation of He’nan Normal University(Grant Nos.QD13041 and QD14155)
A trust-region sequential quadratic programming (SQP) method is developed and analyzed for the solution of smooth equality constrained optimization problems. The trust-region SQP algorithm is based on filter line se...
Supported by National Natural Science Foundation of China(Grant Nos.11201304 and 11371253);the Innovation Program of Shanghai Municipal Education Commission
Chen and Zhang [Sci. China, Set. A, 45, 1390-1397 (2002)] introduced an affine scaling trust region algorithm for linearly constrained optimization and analyzed its global convergence. In this paper, we derive a new...
supports of the National Natural Science Foundation of China(No.11371253).
In this paper,we construct a new algorithm which combines the conjugate gradient and Lanczos methods for solving nonlinear systems.The iterative direction can be obtained by solving a quadratic model via conjugate gra...
supported by the National Natural Science Foundation of China(Nos.11201304,11371253);the Innovation Program of Shanghai Municipal Education Commission(No.12YZ174);the Group of Accounting and Governance Disciplines(No.10kq03)
The authors propose a dwindling filter algorithm with Zhou's modified subproblem for nonlinear inequality constrained optimization.The feasibility restoration phase,which is always used in the traditional filter metho...