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Matlab扩展编程

于 2018-01-23 发布 文件大小:12659KB
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代码说明:

  matlab扩展编程教学,有丰富的编程例子,绝版书籍(matlab Extended programming teaching)

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Matlab扩展编程.pdf, 14693215 , 2018-01-09

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    说明:  将粒子群算法与免疫结合,计算函数的优化极值。(The particle swarm optimization combined with the immune calculated extremal function optimization.)
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    2013-12-28 07:33:58下载
    积分:1
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    某石油公司计划建造一条由东向西的主输油管道。该管道要穿过一个有n 口油井的油田。从每口油井都要有一条输油管道沿最短路经(或南或北)与主管道相连。如果给定n 口油井的位置,即它们的x 坐标(东西向)和y 坐标(南北向),应如何确定主管道的最优位置, 即使各油井到主管道之间的输油管道长度总和最小的位置?证明可在线性时间内确定主管道的最优位置。(An oil company plans to construct a east to west from the main pipeline. The pipeline to pass through an oil field n wells. Wells from each must have a pipeline along the shortest path (or South or North) connected with the competent Road. If given the location of oil wells in n, that is, their x coordinates (east-west) and y coordinates (north-south), should be how to determine the optimal position in charge of Road, even if the wells to the pipeline in charge of Road between the sum of the smallest length location? proved to be linear time to determine the optimal position in charge of Road.)
    2008-07-07 10:25:25下载
    积分:1
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    solution of d satacom in system in transimation line by compensatin
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    一个身体部位比较模型的新方法网络(BAN)的,可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏,通过基于参数化到每个活动,每个学科和每个环节模型。使用错误,并明确之间权衡复杂性,在一个善良的适应措施相结合,显示有重要的影响时,适用于一系列典型的禁止通道数据。它是有不同的 在模式的选择的影响,以及它相关的复杂性,混合活动的“日常”的数据,设置活动相比,动态数据(例如步行)。平均路径损耗的不足,甚至位数的路径损失的措施,作为唯一的表征还强调“禁止通道。 (A new approach to compare models for body area networks (BAN) that accommodates multiple links and multiple subjects is presented. The absolute measure described allows comparison across a spectrum of possible characterizations ranging from single-parameter for an entire ensemble, through to per-activity, per-subject and per-link based parameterized models. The use of an explicit trade-off between error and complexity, combined in a goodness-of-fit measure, is shown to have important consequences when applied to a range of typical BAN channel data. It is shown that there are different implications in choice of model, and it’s associated complexity, for mixed-activity “everyday” data, when compared with set-activity dynamic data (e.g. walking). The deficiency of mean path loss, or even median path loss measures, as a sole characterization of the BAN channel is also highlighted.)
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