A nonmonotonic trust region algorithm with line search for unconstrained optimization problems is presented in this paper.
给出无约束最优化的一类带线搜索的非单调信赖域算法。
It makes full use of the topology relation among triangles in TIN to search triangles intersected with the section line, which increases the efficiency of the algorithm.
该算法充分利用TIN中各三角形间存在的拓扑关系，实现了与剖面线相交三角形的快速搜索，大大提高了算法的执行效率。
By using an on line topology analysis algorithm, the inference engine can search operation paths, and identify current operation status correctly.
通过在线拓扑分析算法，推理出操作路径，使该系统具有很好的跟踪电网运行方式的能力。
An effective evaluation function is constructed, which use the signal line on the propagation path among the fault point and primary outputs. That makes the algorithm has the minimal search space.
该算法基于遗传算法，使用故障信号传播路径上的信号线来构造算法的评价函数，使得算法具有最小的搜索空间。
The improved algorithm can make the search engine ranking results more in line with the query, and the corresponding precision rate has also been greatly improved.
改进算法使搜索引擎的排序结果更符合查询条件，相应的查确率也有很大提高。
Uses a reduced-Newton algorithm with a weak line search to solve a set of non-linear algebraic equations.
使用简化的牛顿计算方法和弱队列搜索来解决一系列的非线性代数方程。
A fast border-detection algorithm named local border search algorithm was presented here, and applied to an on-line surface inspection system for cold rolled strips.
提出一种快速的边部检测算法，即边界局部搜索算法，并应用于冷轧带钢表面缺陷在线检测系统。
Based on the characteristics of the problem, simulated annealing algorithm was combined with tabu search algorithm to optimize the frequency of BRT line combination.
根据问题的特点，将禁忌算法与模拟退火算法相结合，对BRT线路组合的频率进行优化。
They are line prediction based pseudo-diamond search (LPPDS) algorithm and spatial prediction based multi-frame selection algorithm.
分别为基于线性预测的准菱形搜索算法(LPPDS)和基于空间预测的多参考帧选择算法。
Both line search and trust region algorithm are well-accepted methods in the optimization to assure global convergence.
线性搜索方法和信赖域方法是保证最优化问题的整体收敛性的两种基本策略。
Moreover, the new crossover operator designed in this paper and the new line search scheme can make the proposed algorithm find the global optimal solutions more quickly.
而新的杂交算子和适时一维搜索使得算法更迅速有效的找到全局最优。
This thesis discussed the optimal arrangement of search-capacity on search-line. The algorithm for solving was given, and the convergence was proved.
讨论了搜索线上搜索力（密度）的最优配置问题，给出了求解的算法。并对其收敛性作了证明。
Thereafter, the scaling factor of FC is adjusted on-line by means of heuristic search algorithm.
在此基础上，采用启发式搜索算法对模糊控制器比例因子在线调整。
This algorithm used the neural network's pattern recognition capabilities, combined user feedback and search engine effectively, making search results more in line with the user's search request.
该算法利用了神经网络具有的模式识别能力，有效的将用户反馈和搜索引擎结合起来，使得搜索结果更加符合用户的搜索要求。
The proposed algorithm overcomes the difficulty in choosing initial value for line search method, with higher success rate under the same calculation accuracy.
提出的混合算法克服了使用线性搜索方法难以确定初始解的问题，在同等计算精度和耗时情况下，该方法求解成功率较高。
Although it's also a line search algorithm. it has stronger searching ability than traditional ones and can complete routing task independently in no combination with Lee algorithm Good results are...
虽然它也是一种线探索法，但有较传统线探索法更强的探索能力，不需要结合李氏算法而能单独完成布线任务，是一种较理想的算法，通过实验获得了较为满意的效果。
The auto-routing algorithm used is the "target-oriented line-search" method.
系统采用的自动布线算法是朝向目标的线探索法。
The auto-routing algorithm used is the "target-oriented line-search" method.
系统采用的自动布线算法是朝向目标的线探索法。
应用推荐