我有不同的等级,并根据他们的分数对他们进行了相应的排序:,dense_rank() over(PARTITION by course order by mark desc) as RANK LEFT JOIN course_enrolments b ON c.id=b.course;id subject semester student course mark grade ran
我试图使用cvxpy (因此cvxopt)在一个具有28个节点和37条线路的相对简单的网络中对最优潮流进行建模,但得到了"Rank(A) <p or Rank(G;A) < n“错误。(A) < p or Rank([G; A]) < n")当我查看/Library/Python/2.7/site-packages(A)
Select * ( including orderDate) Customer,when (Orderstart(Datetimestamp) > OrderEnd(Datetimestamp) and OrderEnd<Orderstart ) AS Rank_Items
这只是将所有的东西都排到了500+