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
- binary search tree
- Algorithms
- Linked List
- Data Structure
- Restroom
- data
- Study
- exam
- Newyork
- 뉴욕 화장실
- HEAPS
- priority queue
- 빅데이터 지식
- 화장실 지도
- 빅데이터 커리어 가이드북
- Binary Tree
- 데이터 엔지니어
- Computer Science
- Computer Organization
- BST
- 데이터 분석가
- dataStructure
- data scientist
- Data Engineer
- 빅데이터
- hash
- Data Analyst
- Preparing for the Google Cloud Professional Data Engineer Exam
- algorithm
- Heap
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