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
- BST
- Linked List
- Binary Tree
- 데이터 분석가
- 화장실 지도
- dataStructure
- 빅데이터
- Heap
- Computer Organization
- 빅데이터 지식
- HEAPS
- Data Engineer
- binary search tree
- hash
- exam
- 뉴욕 화장실
- data
- Newyork
- Data Structure
- Study
- algorithm
- 데이터 엔지니어
- Computer Science
- data scientist
- 빅데이터 커리어 가이드북
- Preparing for the Google Cloud Professional Data Engineer Exam
- Restroom
- Algorithms
- Data Analyst
- priority queue
Archives
- Today
- Total
목록Linked List (1)
Jaegool_'s log
IT 279: Algorithms and Data Structures, Week 2 recap
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