位置：成果数据库 > 期刊 > 期刊详情页
Sufficient Descent Directions in Unconstrained Optimization
  • 期刊名称：Computational Optimization and Application
  • 时间：0
  • 页码：305-319
  • 语言：中文
  • 相关项目：非线性方程组与最优化问题无导数算法
作者： Dong-Hui Li|Xiaomin An|
同期刊论文项目
非线性方程组与最优化问题无导数算法
期刊论文 17
同项目期刊论文
Spectral scaling BFGS method
Semismooth Newton Schwarz iterative methods for the linear complementarity problem
Sufficient descent nonlinear conjugate gradient methods with conjugacy condition
Two modified POLAK–RIBIèRE–POLYAK-Type nonlinear conjugate methods with sufficient descent property
Global convergence of Gauss-Newton-MBFGS method for solving the nonlinear least squares problem
A globally convergent derivative-free method for solving large-scale nonlinear monotone equations
A Truncated Descent HS Conjugate Gradient Method and Its Global Convergence
Global convergence of some modified PRP nonlinear conjugate gradient methods
A Projected Semismooth Newton Method for Problems of Calibrating Least Squares Covariance Matrix
Two modified HS type conjugate gradient methods for unconstrained optimization problems
A derivative-free nonmonotone line search and its application to the spectral residual method
A family of derivative-free conjugate gradient methods for large-scale nonlinear systems of equation
A PRP type method for systems of monotone equations
非单调Frame型直接搜索共轭梯度法
金融风险的最坏VaR方法与投资组合优化