雅各比迭代matlab代码-SGD:随机异步随机梯度下降

上传者: 38613681 | 上传时间: 2023-01-09 21:16:58 | 文件大小: 121KB | 文件类型: ZIP
雅各比迭代matlab代码新元 随机异步随机梯度下降 s文件夹包含随机的Jacobi原型代码和用于生成算法收敛图的脚本。 阅读文件SETTING-UP,以获取有关下载哪些库,在何处找到代码以及如何构建和运行所有内容的说明。 文件matrices / matrix_list.txt包含代码在其上运行的矩阵的列表。 编辑文件以更改列表(如果需要),然后运行 cd矩阵./download.sh 下载所有矩阵并为其生成右侧向量。 要在所有矩阵上运行该算法,请执行以下操作。 cd数据./produce_data.sh 这会将算法的输出保存在data /文件中。 运行该算法的线程数在data / produce_data.sh中定义。 您可以使用的data / produce_data.sh中的另一个变量是MIS_PER_EPOCH。 它定义为在评估剩余范数之间进行的主要迭代(n步序列)的次数。 增加它会减少每个时期的启动/关闭开销,但也会降低收敛图的分辨率。 使用脚本data / make_plot.m生成图。 从Matlab运行: cd data; MIS_PER_EPOCH = 1; mak

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