New clustering algorithm based on Wu-Huberman method and greedy algorithm

The circulation iteration times of original Greedy algorithm are reduced.

在分配比特时，降低了原Greedy算法的循环迭代次数。

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Study of Multi-machine Scheduling Problem Based on Greedy Algorithm

基于贪婪算法的多机床调度问题研究

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Multiple Face Tracking Using Mean Shift and Greedy Algorithm

基于均值移动与贪婪算法的多人脸跟踪

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The Optimal Way Implementation for Files Stored on Disk by Greedy Algorithm

利用贪心法实现对磁盘文件的最佳存储

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Performance of Adaptive Bit and Power Allocation MIMO-OFDM System Based on Greedy Algorithm

基于贪婪算法自适应比特功率分配的MIMO-OFDM系统性能

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Mission Planning Method of the Satellite Ground Station Based on the Greedy Algorithm

基于贪婪算法的卫星地面站任务规划方法

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Research and Development on the Greedy Algorithm and System of the Rectangular Cutting Stock Problem

矩形件排样优化贪婪算法及系统开发

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Greedy algorithm is a kind of simpler, more rapid design technology.

贪婪算法是一种对某些求最优解问题的更简单、更迅速的设计技术。

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The maximum complex problem in learning from examples and its greedy algorithm

示例学习的最大复合问题及算法

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A fast greedy algorithm is proposed to solve this problem.

本文对该机制建立了数学模型，并且提出了一个快速的基于贪心策略的算法。

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Optimal Design of Digital Communication Networks in Power System Using the Greedy Algorithm

贪心算法在电力系统数据通信网优化设计中的应用

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During the early phase of researching Grid, Grid has been adopted in scientific computing domain, included high-performance computing and high-throughput computing.

在网格的初期研究阶段，网格的应用主要在科学计算领域，包括高性能计算和高吞吐量计算。

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Today, most of such researches take advantage of existing network system by performing distributed parallel computing, which achieves similar results as high-performance computing.

目前更多的研究是利用现有的网络系统来实现分布并行计算，以达到模拟高性能的目的。

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As an important branch of high-performance computing, grid computing provides an ideal platform for some large-scale computing problems in science and engineering fields.

网格计算做为高性能计算的一个重要分支，为解决科学和工程领域一些大规模计算问题提供了理想的平台。

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Recently, the heterogeneous multi-cores achieve high performance to accelerate the practical applications, and have been applied to high-performance computing field.

目前，异构多核处理器在加速实际应用方面获得了很高的性能，相关技术已被逐渐运用到新型高性能计算机中。

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High-performance computing ( HPC) is seen as critical to manufacturing might for its ability to simulate product development and speed time to market.

高性能计算（HPC）是被视为至关重要的制造产业，因为它有能力开发模拟产品，加快产品上市时间。

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In pursuit of different target high-performance computing, parallel computing model and the large number of parallel processor architectures continue to emerge.

为追求不同的高性能计算目标，众多并行计算模型和并行处理器架构不断涌现。

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Computer system performance evaluation is an important and fundamental technology in high-performance computing field, and its development accompanies that of the high-performance computing technology.

计算机系统性能评测是高性能计算领域的重要基础技术，一直伴随着高性能计算技术的发展。

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Because of its computing needs are endless, so high-performance computing in computational science to become a critical driving force.

由于它对计算的需求是无穷无尽的，因此高性能计算成为计算科学中非常关键的推动力量。

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Detailed description about software installation and configuration methods and practical experience on high-performance computing cluster applied for theoretical chemistry computing.

详细介绍应用于高性能计算的理论化学软件在集群上的安装方法和配置过程，以及实用中的注意事项。

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