MAMO
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资源简介:
MAMO数据集是MAMO优化数据的直接副本,专注于提供数学建模的基准测试。它包含EasyLP和ComplexLP两个部分,数据规模小于1000个样本,并采用了CC-BY-NC 4.0授权许可。此数据集通过调整字段名称进行了适配,可用于相关研究和实验。
The MAMO dataset is a direct copy of the MAMO-optimized data, focusing on providing benchmark resources for mathematical modeling. It comprises two subsets, EasyLP and ComplexLP, with a total of fewer than 1000 samples, and is licensed under CC-BY-NC 4.0. This dataset has been adapted by adjusting field names and is suitable for relevant research and experiments.
创建时间:
2024-07-19
搜集汇总
数据集介绍

背景与挑战
背景概述
MAMO数据集是数学建模基准测试数据,包含EasyLP和ComplexLP两个部分,数据规模小于1000个样本。它采用CC-BY-NC 4.0授权许可,专注于提供优化问题的基准测试支持,适用于相关研究和实验。
以上内容由遇见数据集搜集并总结生成



