Java 集合框架實作：大O 總結
在教授「Java 速成課程」時，了解以下內容至關重要與各種集合實現相關的Big-O 時間複雜度。雖然觀眾可能熟悉 Big-O 表示法，但他們不太可能知道特定集合上不同操作的特定複雜性。
幸運的是，《Java 泛型和集合》一書提供了有關這些複雜性的寶貴見解。本文總結了書中的信息，為每種類型的集合提供了詳細的表格：列表、集合、映射和隊列。
列表實作：
| Operation | ArrayList | LinkedList | CopyOnWriteArrayList |
|---|---|---|---|
| get | O(1) | O(n) | O(1) |
| add | O(1) | O(1) | O(n) |
| contains | O(n) | O(n) | O(n) |
| next | O(1) | O(1) | O(1) |
| remove(0) | O(n) | O(1) | O(n) |
| iterator.remove | O(n) | O(1) | O(n) |
集合實作：
| Operation | HashSet | LinkedHashSet | CopyOnWriteArraySet | EnumSet | TreeSet | ConcurrentSkipListSet |
|---|---|---|---|---|---|---|
| add | O(1) | O(1) | O(n) | O(1) | O(log n) | O(log n) |
| contains | O(1) | O(1) | O(n) | O(1) | O(log n) | O(log n) |
| next | O(h/n) | O(1) | O(1) | O(1) | O(log n) | O(1) |
| Notes | h is the table capacity |
實作地圖：
>| Operation | HashMap | LinkedHashMap | IdentityHashMap | EnumMap | TreeMap | ConcurrentHashMap | ConcurrentSkipListMap |
|---|---|---|---|---|---|---|---|
| get | O(1) | O(1) | O(1) | O(1) | O(log n) | O(1) | O(log n) |
| containsKey | O(1) | O(1) | O(1) | O(1) | O(log n) | O(1) | O(log n) |
| next | O(h/n) | O(1) | O(h/n) | O(1) | O(log n) | O(h/n) | O(1) |
| Notes | h is the table capacity |
隊列實作：
| Operation | PriorityQueue | ConcurrentLinkedQueue | ArrayBlockingQueue | LinkedBlockingQueue | PriorityBlockingQueue | DelayQueue | LinkedList | ArrayDeque | LinkedBlockingDeque |
|---|---|---|---|---|---|---|---|---|---|
| offer | O(log n) | O(1) | O(1) | O(1) | O(log n) | O(log n) | O(1) | O(1) | O(1) |
| peek | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) |
| poll | O(log n) | O(1) | O(1) | O(1) | O(log n) | O(log n) | O(1) | O(1) | O(1) |
| size | O(1) | O(n) | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) | O(1) |
以上是文章的標題應該是：What are the Big-O Time Complexities of Java Collection Implements?的詳細內容。更多資訊請關注PHP中文網其他相關文章！
