前言
本文的主体是机器学习中所用到的线性代数知识，因此奉行Lazy evaluation，对这些知识更深层次的探究只在绝对必要时完成。
本文的主体是机器学习中所用到的线性代数知识，因此奉行Lazy evaluation，对这些知识更深层次的探究只在绝对必要时完成。
说着再做UWP就剁手，我还是开了一个新坑🤣
这次是B岛的UWP端
论坛客户端的一个老大难问题是内容的呈现。论坛一般以网页端为主，网页做好，论坛活跃起来后之后才会开发客户端/有开发者愿意做第三方的客户端。因此，API绝大多数情况是为网页端为一等公民的。此外，各个UI框架展示内容的格式也各有不同。以上两个原因导致HTML被选做富文本展示的通用语言。
Given a singly linked list L with integer keys, you are supposed to remove the nodes with duplicated absolute values of the keys. That is, for each value K, only the first node of which the value or absolute value of its key equals K will be kept. At the mean time, all the removed nodes must be kept in a separate list. For example, given L being 21→-15→-15→-7→15, you must output 21→-15→-7, and the removed list -15→15.
A graph which is connected and acyclic can be considered a tree. The height of the tree depends on the selected root. Now you are supposed to find the root that results in a highest tree. Such a root is called the deepest root.
PAT里链表题有各式各样的骚操作。这些非常规操作易学易用，但是习惯了这些后，反而对题目真正想考察的知识生疏了。今天就碰到一道这样的题，想用正经的算法写却写不出来。希望大家以我为戒，不要过多的学习这些「奇技淫巧」
Given a collection of number segments, you are supposed to recover the smallest number from them. For example, given { 32, 321, 3214, 0229, 87 }, we can recover many numbers such like 32-321-3214-0229-87 or 0229-32-87-321-3214 with respect to different orders of combinations of these segments, and the smallest number is 0229-321-3214-32-87.
Given a sequence of K integers { N1, N2, …, NK }. A continuous subsequence is defined to be { Ni, Ni+1, …, Nj } where 1≤i≤j≤K. The Maximum Subsequence is the continuous subsequence which has the largest sum of its elements. For example, given sequence { -2, 11, -4, 13, -5, -2 }, its maximum subsequence is { 11, -4, 13 } with the largest sum being 20.
Now you are supposed to find the largest sum, together with the first and the last numbers of the maximum subsequence.
因为PAT刷题的缘故,开始再次接触C++.用过OOP语言再回来用C十分不习惯,C++就顺手多了.C没有泛型,字符串也不好用,C++就好多了,STL的容器和模板完美结合,字符串类也堪用.