Notice
Recent Posts
Recent Comments
Link
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | |||
5 | 6 | 7 | 8 | 9 | 10 | 11 |
12 | 13 | 14 | 15 | 16 | 17 | 18 |
19 | 20 | 21 | 22 | 23 | 24 | 25 |
26 | 27 | 28 | 29 | 30 | 31 |
Tags
- 데이터 분석가
- Computer Science
- Data Structure
- 빅데이터 지식
- dataStructure
- Computer Organization
- 뉴욕 화장실
- data
- BST
- exam
- Newyork
- Data Engineer
- Preparing for the Google Cloud Professional Data Engineer Exam
- Heap
- Binary Tree
- Study
- 빅데이터 커리어 가이드북
- binary search tree
- 빅데이터
- Algorithms
- Data Analyst
- Restroom
- 데이터 엔지니어
- hash
- Linked List
- data scientist
- 화장실 지도
- priority queue
- algorithm
- HEAPS
Archives
- Today
- Total
목록Linked List (1)
Jaegool_'s log

Progress Check on Algorithm Analysis 1. Put these in order from lowest to highest. Lowest O(1) O(log n) O(n) O(n log n) O(n2) O(n3) Highest 2. The actual running time of a given function is determined by the expression 3n + 4 + 5n2. What is the Big-Oh notation that accurately describes the function? c. O(n^2) a. O(n) b. O(3n) c. O(n^2) d. O(5n^2) 3. You have analyzed a particular program to be O..
Courses
2023. 10. 3. 05:22