Greedy algorithm is suggested to construct the reduced basis space adaptively.

A fault tree ( logical) reduction strategy based on greedy algorithm is presented.

根据故障树结构特点，提出了基于贪心算法的故障树逻辑简化方法。

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And ( 3) The greedy algorithm is applied to solve the fault diagnosis model.

采用了贪婪算法对该故障诊断模型进行求解。

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The conventional way to solve aggregated multicast problem is Greedy Algorithm.

传统的解决聚合组播的方法是贪婪算法。

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In algorithm realization, the two-step greedy algorithm is taken in.

在算法实现上，采用贪婪算法并分阶段实现。

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The Analysis of the Greedy Algorithm for the Set Partition under the Core Constraint

集合核约束分划的贪婪算法分析

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A greedy algorithm and its error estimation for a Boolean programming problem

一类Boolean规划的Greedy算法及其误差分析

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

Wu-Huberman方法和贪婪算法相结合的新聚类算法

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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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