Frequencies of Some Near-Regular Structures: A Combined Graph Product and Bisection MethodIn this paper, an efficient iterative method is presented to calculate the eigenvalues of the stiffness matrices of some structures having near-regular forms. In the present method, by a suitable...doi:10.1007/s40996-018-0192-2A. KavehM. ...
Two different root-finding algorithms, Newton’s approach and the bisection search, are proposed in these works. For example, Newton iterative method is proposed by Wang et al. (2019) for transmission power allocation [128]. The authors of [122] adopted the bisection search to achieve the ...
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│ ├─ BisectionMethod │ ├─ FalsePosition │ ├─ NewtonRaphson │ ├─ FixedPoint │ └─ Secant ├─ others │ ├─cigaretteSmokersProblem ...
MultiJagged算法[53]使用多分割而不是二分(bisection)来减少递归的深度,并相对于递归坐标平分来加快计算速度;其混合实现使用MPI和Kokkos[205]来支持PE之间的分布式内存消息传递和PE内的多线程或GPU计算。 [214]提出了一种可扩展的平衡 均值算法对几何图进行划分。 这个 均值问题要求对点集 P 进行分区, 进入 大致相...
typeOfInnerProduct ►typeOfInnerProduct< Cmpt, CompactSpatialTensor< Cmpt >, CompactSpatialTensorT< Cmpt >> ►typeOfInnerProduct< Cmpt, CompactSpatialTensor< Cmpt >, Tensor< Cmpt > > ►typeOfInnerProduct< Cmpt, CompactSpatialTensor< Cmpt >, Vector< Cmpt > > ►typeOfInnerProduct< Cmpt...
Method Total anthraquinones was extracted by pH grades extraction, and the effect on restraining bacterium was measured by bisection method. 方法采用pH梯度萃取法从大黄中提取出蒽醌成分,采用体外实验及二分法测定各成分的抑菌效果。 2. A new method to construct nested interval-interval evolution algorithm is...
The need for huge computational power arising in such applications to simulate physical phenomenon correctly mandates the use of massively parallel computers to distribute the workload evenly. In this study, a novel heuristic algorithm called Line Graph Bisection which partitions a graph via vertex ...
1) Implementation of Graph Bisection 图的二划分算法实现2) 2-way graph partitioning 图的二划分 1. Solving 2-way graph partitioning problem using genetic algorithm based on uniform design sampling; 均匀设计抽样混合遗传算法求解图的二划分问题 2. Solving 2-way graph partitioning problem using ...
Graph data models are useful to store, process and analyse highly interlinked data [1]. This is achieved through the use of graph theory to store data in the form of nodes and edges [2]. With the recent rise in the popularity of graph databases, which rely on graph data models to stor...