trust region method
信赖域算法是求解非线性优化问题的一类重要的数值计算方法,它可以解决非 线性方程(组)、无约束和约束优化以及非光滑优化问题.由于信赖域算法良好的性 质，即强适性和较强的收敛性,因此受到非线性优化研究界的广泛重视.特别是最近 十多年,这种方法已经成为非线性最优化问题研究的一个热点.
文件列表
MathType User Manual.rar
(预估有个18文件)
Solving bound constrained optimization via a new nonmonotone spectral projected gradient method.pdf
125KB
Trust-region and other regularisations of linear least-squares problems .pdf
621KB
On a subproblem of trust region algorithms for constrained optimization .pdf
422KB
Nonlinear programming without a penalty function or a filter .pdf
525KB
The bounded smooth reformulation and a trust region algorithm for semidefinite complementarity problems.pdf
242KB
Spectral gradient projection method for monotone nonlinear equations with convex constraints.pdf
163KB
On the superlinear convergence of a trust region algorithm for nonsmooth optimization .pdf
539KB
Standard and non-standard Lagrangians for dissipative dynamical systems with variable coefficients Z E Musielak_.pdf
25KB
On D-optimality based trust regions for black-box optimization problems .pdf
346KB
MathType User Manual.pdf
336KB
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