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第八讲:多目标最小二乘法Lecture 8: Multi-Objective Least-Squares |
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| 课程网址: | http://videolectures.net/stanfordee263f07_boyd_lec08/ |
| 主讲教师: | Stephen P. Boyd |
| 开课单位: | 斯坦福大学 |
| 开课时间: | 2010-05-31 |
| 课程语种: | 英语 |
| 中文简介: |  所以我们上次开始研究那个。作为一个思想实验，我们做了以下工作。我们只是采用了 XNRN 并评估了 J1 和 J2，这两个目标。你想要两个小。对于每一个 X，我们放一个点。所有阴影区域都显示了我们编写的对，J2、J1，它们是可以实现的，然后这里的空白区域是无法实现的对。我们上次谈到了这个。我们谈到了以下想法，如果某个 X 对应于这个点，那么基本上，所有对应于该点的 X 都映射到下方和左侧——这些实际上是明显比这个更好的点。 ... |
| 课程简介: | So we started looking at that last time. As a thought experiment, we did the following. We simply took ever XNRN and we evaluated J1 and J2, the two objectives. You want both small. For every X, we put a point. All the shaded region shows you pairs as we’ve written it, J2, J1, which are achievable, and then the clear area here are pairs that are not achievable. We talked about this last time. We talked about the following idea, that if a certain X corresponds to this point, then basically, all the Xs corresponding that map into what is lower and to the left – these are actually points that are unambiguously better than this one. ... |
| 关 键 词: | XNRN; 映射; 最小二乘法 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-07-19：nkq |
| 最后编审: | 2021-07-19：nkq |
| 阅读次数: | 169 |