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中文摘要：
给出一个三项共轭梯度方法，该方法具有如下特点：1）搜索方向在不需要任何线搜索的条件下具有充分下降性；2）搜索方向具有自动属于一个信赖域的特点；3）新方法不但拥有梯度值信息还拥有函数值信息；4）方法对一般函数拥有全局收敛性．数值检验结果表明新方法更具竞争性．
英文摘要：
In this paper, a conjugate gradient method is proposed. The given method possess the following features： 1） The search direction possesses the sufficient descent property; 2） The search direction belongs to a trust region;3） The new method has not only the gradient value but also function value;4） The presented method has the global convergence for general functions. Numerical results turns out the new method is more competitive to the normal method.
同期刊论文项目
同项目期刊论文
An active-set projected trust-region algorithm with limited memory BFGS technique for box-constraine
Wei–Yao–Liu conjugate gradient projection algorithmfor nonlinear monotone equations with convex cons
A Limited-Memory BFGS Algorithm Based on a Trust-Region Quadratic Model for Large-Scale Nonlinear Eq
A Novel Parameter Estimation Method for Muskingum Model Using New Newton-Type Trust Region Algorithm
Inexact Accelerated Proximal Gradient Algorithm For Matrix l2,1-Norm Minimization Problem in Multi-T
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