This course requires a certain foundation, otherwise it will be a bit difficult; in general, this course can only be regarded as an introductory course on some algorithms. Listening to the lectures is not enough. You need to combine it with some other materials for learning. Some of the course's attachments are very good. Course Outline ├──1 Application examples of mathematical models | └──1.mp4 163.57M ├──2Matlab Quick Start | ├──2.1.mp4 75.24M | └──2.2.mp4 19.24M ├──3Matlab Improvement | └──3.mp4 125.58M ├──4 Heuristic Algorithms | ├──4.1.mp4 140.70M | └──4.2.mp4 5.63M ├──5-cell automaton | └──5.mp4 134.25M ├──6 Prediction and evaluation | └──6.mp4 67.59M ├──7 pictures and network | └──7.mp4 58.40M ├──8 Queuing Theory | └──8.mp4 114.66M ├──9CUMCM2016A | └──9.mp4 92.67M ├──10MCM2017B | └──10.mp4 77.76M ├──11MCM2005B | ├──11.1.mp4 137.76M | └──11.2.mp4 8.64M └──All courseware.zip 69.59M |
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