正版spring security实战编程与
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当我们选择数据结构的时候我们已经考虑下面几点：
为什么要选择这种数据结构，数据结构的使用情况是什么(简而言之就是我们使用这种数据结构可以做到哪些优化), 进而我们需要考虑数据结构的接口，然后再考虑实现层面
1.数据结构里存储的数据形式是什么
2.为什么要使用这种数据结构
List of DataStructures:
ArrayList; LinkedList(Singly, Doubly); Queue(Circular Array, linkedList); Stack(array, singly LinkedList), Deque(Circular array, doubly linked list);
Tree(Balanced BST, augmented BST, segment Tree)
PriorityQueue vs TreeSet/Map
PriorityQueue:
O(1) for getting min/max heap
O(logn) for heap to offer;
O(logn) for remove
apis:
heapify(O(n)); percolateUp; percolateDown; poll; offer; peek;
The reason why we want to use tree set/map instead of heap is because the update index(which is not min/max) function in heap is difficult, and we should keep track of a hashmap to record the value and index.
优先队列的优势：get max/min, peek() is O(1)
TreeMap/Set的优势: update or delete 任意number是O(logn)
If some problems can be solved by using priorityQueue, it must be solved by using treeset/map
TopKProblems
1.k Largest/Smallest Element in unsorted array
2.k smallest/largest element in unsorted array
3.The k closest points in 3-d space to point of (0,0,0)
原文链接:https://segmentfault.com/a/1190000012945769
java 11官方入门(第8版)教材
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