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.
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