该文提出一种无约束优化非线性共轭梯度法，证明了精确线性搜索下的全局收敛性。
The paper presents a nonlinear conjugate gradient method for unconstrained optimization problem, and proves its global convergence under exact line searches.
在建立前视声呐视域模型和人工势场模型的基础上，对AUV进行决策控制，通过梯度逼近法对目标进行搜索，快速规划出一条无碰撞的路径。
On the basis of building forward looking sonar view model and artificial potential model, decision control of AUV is made, objects are searched through grads approach, a collision free path is planed.
在推广线搜索下给出了一类共轭梯度法的全局收敛结果。
This paper gives the global convergence of a class of conjugate gradient methods with relaxed line search.
本文介绍一种沿曲线方向线性搜索的算法，这种算法概括了梯度法、共轭梯度法以及它们的改进格式。
This paper introduces a curvilinear line searching technique, which possesses all the meris of the gradient method, the conjugate gradient method and some of their refined types.
文章给出了一种新的非精确线性搜索下的共轭梯度法，说明了在新线性搜索下每次迭代能够产生下降方向。
The method is proved to be globally convergent if the exact line search, the Grippo-Lucidi line search and the Wolfe-Powell line search is used.
文章给出了一种新的非精确线性搜索下的共轭梯度法，说明了在新线性搜索下每次迭代能够产生下降方向。
The method is proved to be globally convergent if the exact line search, the Grippo-Lucidi line search and the Wolfe-Powell line search is used.
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