hypercube

['haɪpəkju:b]
  • hypercube
  • n.

    超立方体;

纠错 数据更新时间:2026-06-10 08:15:04
1、

Then the simulation method of Latin Hypercube Sampling ( LHS) was introduced.

然后介绍了不确定性分析的LHS模拟方法。

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2、

We develop efficient unicast, broadcast and parallel routing algorithms on locally connected hypercube networks.

本文基于局部连通性网络容错模型设计了高效的单播、广播和并行容错路由算法。

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3、

the parallel iterative algorithm of large linear equations on hypercube multiprocess system

超立方多处理机上大型线性方程组并行迭代求解算法

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4、

According to the tree structure, the hypercube is formed hierarchically.

依照树状结构, 分层次地组建这种8结点的超正方体.

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5、

Topology and Routing Algorithms of Petersen Graph Connected Hypercube Networks

基于Petersen图互连的超立方体网络及其路由算法

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6、

We propose a multicategory classification method based on hypercube/ hypergrid self-organization mapping ( SOM) scheme.

本论文提出了一种基于超立方体和超网格自组织映射(SOM)编码的多类目标识别方法。

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7、

Then it is proved that the smallest vertex degree, vertex connectivity and link connectivity are all n, which is holding the best connectivity the same as the hypercube and the crossed cube.

然后证明了n维HCH-立方体互连网络的最小顶点度数和顶点连通度和边连通度为n,保持了超立方体和交叉立方体的最高连通度的优点;

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8、

As the basic composition of FCCN, the hypercube of 8 nodes is a construction element of building FCCN.

作为FCCN网络拓扑结构的基本组成部分,单一cube是组网过程中基本的构造单元。

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9、

Latin hypercube sampling and its application to structural reliability analysis

Latin超立方采样技术及其在结构可靠性分析中的应用

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10、

research on hypercube ring connected petersen graph interconnection networks

基于超立方体环连接的Petersen图互联网络研究

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11、

On ( d, k)-Independence Numbers of Hypercube Network

关于超立方体网络的(d,k)独立数

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12、

Moreover, very few researches on load balancing can be found on the hypercube networks.

而以前对负载均衡等技术的研究很少针对超立方体网络.

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13、

A Wavelength Assignment Algorithm of Hypercube Communication on Optical RP ( k) Networks

光RP(k)网络上Hypercube通信模式的波长指派算法

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14、

Latin Hypercube sampling is first compared with a common sampling procedure ( random simple sampling) in LU decomposition simulation. Then it is applied to the investigation of uncertainty in the simulation results of a spatially explicit forest model, LANDIS.

首先把拉丁超几何体采样与普通随机采样在LU分解算法中的表现进行比较,然后把基于拉丁超几何体采样的LU分解法应用于空间直观森林景观模型LANDIS的模拟。

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