• In this paper, an algorithm model for a class of adaptive relaxation algorithms is presented.

    对于一类自适应松弛算法,本文提出了一个算法模型。

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  • In this image registration method, with the help of relaxation algorithm, matching precision is improved.

    在角点匹配过程中,采取了松弛算法来提高匹配精度,达到了好的配准效果。

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  • In this paper, we propose an improved Lagrangian relaxation algorithm to solve job shop scheduling problems.

    针对车间调度问题,提出了一种改进的拉氏松弛算法。

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  • Some results show that the method leads to less segmentation error than the deterministic relaxation algorithm.

    结果表明,和一般松弛算法相比,这种方法改善了图像分割的质量。

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  • Then a relaxation algorithm is used to raise the confidence of matching: The process will be iterated until the largest matched point set is obtained.

    然后用一种张弛法去改善匹配可信度。这过程一直反复进行到最大匹配点集出现。

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  • By the analyses of applications of the new algorithms and Lagrangian relaxation algorithm, the validity of the algorithms presented in this paper is verified.

    通过对该算法及其改进算法以及拉格朗日松弛算法的应用效果分析,验证所提算法的有效性。

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  • In order to solve the failure of the structural index reduction algorithms in a few cases, another algorithm which is called combinatorial relaxation algorithm is analyzed and studied.

    为了解决算法少数情况下的失效问题,深入研究和分析了一种修正算法——组合松弛算法。

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  • To solve coordination problem of multi-plants supply chain production planning, a coordination and optimization strategy of internal price based on Lagrange relaxation algorithm was presented.

    为了解决多厂供应链生产计划的协调问题,提出了一种基于拉格朗日松弛算法的内部价格协调优化策略。

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  • This paper focuses on the modeling of the resources location of medical rescue. At first, the traditional Lagrangean relaxation algorithm is improved by using subgradient optimization algorithm.

    以医疗急救资源的配置问题为建模核心,运用次梯度最优算法对传统的拉格朗日松弛算法进行了改进。

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  • The relaxation detecting of effective feature segmentation is studied before matching capability of Scene Matching Algorithm of fuzzy entropy similarity metric can be improved.

    研究了有效特征区域的松弛检测方法,对基于模糊熵差的景象匹配算法进行相应后处理,提高了匹配性能。

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  • However, the relation between unit commitment risk and forced outage capacity is a discrete distribution, the Lagrangian Relaxation unit commitment algorithm isn't used directly.

    但由于机组投运风险水平与机组强迫停运容量呈离散型的分布关系,因而难以与拉格朗日松弛法的机组组合算法有机结合。

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  • When the error bound of location deviation is known, the original point pattern relaxation matching algorithm is improved to obtain better matching performance.

    研究了在已知最大定位误差的情况下时,如何对基本点特征松弛匹配算法进行改进,以提高匹配性能。

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  • The feasibility to simulate the initial earth stress of the large underground structure by using the algorithm of dynamic relaxation and system damping in LS-DYNA is investigated.

    主要研究使用LS-DYNA的动力松弛算法和系统阻尼算法相结合来求解大型地下结构初始地应力状态的可行性。

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  • A new multi-exponential inversion method for NMR relaxation signals is presented and tested, which is based on differential evolution (DE) algorithm.

    提出了一种基于差分进化(DE)算法的核磁共振弛豫信号多指数反演新方法。

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  • The algorithm makes use of the characteristic of Lagrange relaxation method, and finds multicast tree satisfying constraint by constructing closure graph and making relaxation to this graph.

    该算法充分利用拉格朗日松弛方法的特点,通过构建封闭图,对封闭图进行拉格朗日松弛求得满足条件的多播树。

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  • Based on dual relaxation method to extend a special convex separable programming algorithm, this tracking algorithm was constructed by parametric analysis.

    该参数优化算法可在对偶松弛凸可分规划算法的主循环之外,通过少量参数化扩展得到。

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  • This paper presents an algorithm of point correspondence in which the spectral theory, partial characteristics of points and the method of probabilistic relaxation are combined.

    文章提出了一种将谱图理论、特征点的局部特征和概率松弛法相结合的特征点匹配算法。

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  • Computational examples show that the modified subgradient optimization algorithm for Lagrangean relaxation can reduce the iterative steps obviously, and is proved to be efficient.

    算法实例表明,改进后的拉格朗日松弛算法迭代步数显著减少,证明算法是有效的。

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  • This paper realizes the automatic generation of the test case in the structure coverage test, which takes use of the iterative relaxation method as key algorithm.

    利用迭代松弛法作为核心算法实现了结构覆盖测试用例的自动生成。

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  • Since it does not need to calculate sensitivity matrix and the relaxation technique is used, this algorithm is advantageous to save computational time and memory space.

    由于不需计算灵敏度逆矩阵和采用松驰技术,本算法具有计算速度快、收敛性能好和占用空间少的优点。

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  • A novel algorithm for point correspondence is proposed, which combines graph spectral analysis and partial characteristics of the point together via the method of probabilistic relaxation.

    文章提出了一种将谱图理论、特征点的局部特征和概率松弛法相结合的特征点匹配算法。

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  • A class of relaxation hybrid algorithm is defined to add varying relaxation factors into the iteration polynomials.

    本文通过在迭代多项式中加入变化的松弛因子定义了一类松弛混合算法。

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  • Lagrange relaxation heuristic algorithm is designed to solve the model by equivalent transformation.

    通过对模型的等价转换,设计了拉格朗日松弛启发式算法来求解模型。

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  • Lastly, the probabilistic relaxation iteration algorithm is used to optimize the information after fully considering the context information.

    最后充分考虑上下文信息,利用概率松弛迭代算法对粗检测信息进行优化。

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  • MinkowskiMethod algorithm, Prediction Error Method for Parameter Identification - the idea of relaxation, it draws on principal component analysis algorithm (PCA).

    MinkowskiMethod算法,预报误差法参数辨识-松弛的思想,借鉴了主成分分析算法(PCA)。

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  • A new algorithm, i. e., the point pattern fuzzy relaxation matching algorithm is applied to the tracking of targets.

    本文将一种新型的点模式模糊松驰匹配算法用于目标跟踪。

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  • The calculating results indicate that the 3-d temperature field can be reconstructed more accurately by the algorithm with property matrix and unfixed ultra-relaxation coefficient.

    计算结果表明,引入了属性矩阵和变超松弛系数的迭代算法能够更好地重建三维温度场。

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  • So the property matrix including the prior knowledge is introduced, an unfixed ultra-relaxation coefficient is adopted in the algorithm to reconstruct the 3-d temperature field.

    为此,在算法中引入了包含先念知识的属性矩阵,采用了变超松弛系数重建三维温度场。

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  • A revised fuzzy control algorithm was developed to accelerate iteration convergence in numerical fluid dynamic simulation by adjusting the value of the under-relaxation factor.

    在原来研究工作的基础上,提出了一种改进的模糊控制方法,用以调整粘性流场迭代计算中亚松驰因子的值。

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  • A revised fuzzy control algorithm was developed to accelerate iteration convergence in numerical fluid dynamic simulation by adjusting the value of the under-relaxation factor.

    在原来研究工作的基础上,提出了一种改进的模糊控制方法,用以调整粘性流场迭代计算中亚松驰因子的值。

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