• Left: the robot turns left 90 degrees and remains on the current grid point.

    左:机器人向左旋转90度,并保持原先所在的格网位置不变。

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  • In the second focusing step, using the principle of convolution and correlation, grid point gathers are generated.

    在第二步聚焦中,利用褶积和相关原理,生成网格点道集。

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  • Thus the value of the function at any grid point is the average of its values at the immediately neighboring points.

    因此,任一结点上的函数值就等于其直接邻点上函数值的平均。

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  • Since the background field can be computed analytically, the source can be located at any point that does not need to be a grid point.

    由于背景场是由解析公式给出的,所以可以将场源放置在数值网格的任意位置,不一定非得在网格点上。

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  • In the method, the interior grid distribution is controlled by prior selection of the grid point distribution along the boundaries of the region.

    本文采用了一种利用边界网格节点分布信息来控制区域内部网格节点分布的网格生成技术。

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  • The target location problem was transformed into the one that locates the target at a grid point through modeling the sensor region as a network grid.

    通过把传感区域模型化为网格,将目标定位问题转化为确定目标在某个网格点的问题。

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  • We have achieved the parallelization by extracting the analysis boxes and model grid point latitude rows with leaped step and distributing data to different processors.

    该算法通过间隔选取分析盒子和模式格点纬圈行,将数据分配给不同的处理机实现分布式并行。

    youdao

  • The algorithm realizes distributed parallelization by extracting the analysis boxes and model grid point latitude rows with leaped steps, and by distributing the data to different processors.

    该算法通过间隔选取分析盒子和模式格点纬圈行,将数据分配给不同的处理机实现分布式并行。

    youdao

  • We take a triangular grid, where velocity and position parameters of each grid-point must be given.

    对于井间断面采用三角形剖分,并给定单元节点的速度和位置参数;

    youdao

  • We take a triangular grid, where velocity and position parameters of each grid-point must be given.

    对于井间断面采用三角形剖分,并给定单元节点的速度和位置参数;

    youdao

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