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[알고리즘 스터디 3주차]기수정렬/계수정렬/버킷정렬

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코딩클럽 16년 4/4분기 알고리즘 스터디 with C
3주차-기수정렬/계수정렬/버킷정렬

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[알고리즘 스터디 3주차]기수정렬/계수정렬/버킷정렬

  1. 1. 2016.11.26 3주차 Radix sort Counting sort Bucket sort
  2. 2. 1.Radix Sorting(기수 정렬) • 분배 방식의 정렬 방법 • 정렬할 원소의 키 값에 해당하는 버킷에 원소를 분배하 였다가 버킷의 순서대로 원소를 꺼내는 방법을 반복해서 정렬하는 방법
  3. 3. 1.Radix Sorting (1단계)
  4. 4. 1.Radix Sorting
  5. 5. 1.Radix Sorting(2단계)
  6. 6. 1.Radix Sorting
  7. 7. 1.Radix Sorting in C
  8. 8. 1.Radix Sorting in C
  9. 9. 2.Counting Sorting(계수 정렬) (1)배열 내에 최댓값을 배열의 길이로 하는 새로운 버켓을 만든다. (2)배열의 각 값들을 인덱스로 하여 버켓 배열에 그 수를 카운팅한다. (3)낮은 인덱스부터 출력을 하면 정렬된 결과를 얻을 수 있 다.
  10. 10. 2.Counting Sorting(1)
  11. 11. 2.Counting Sorting(1)
  12. 12. 2.Counting Sorting(1)
  13. 13. 2.Counting Sort in C
  14. 14. 2.Counting Sorting in C
  15. 15. 2.Counting Sorting in C
  16. 16. 2.Counting Sorting in C
  17. 17. 3.Bucket Sorting • 계수 정렬은 키 값이 작은 범위 안에 들어올 때 적용 할 수 있는 방법이지만 버킷 정렬은 키 값의 범위뿐만이 아 니라 그 범위 내에서 키 값이 확률적으로 균등하게 분포 된다고 가정할 수 있을 때 적용할 수 있는 방법 • 설명의 편의상 키 값이 0과 1 사이라고 가정하자. n개의 키가 구간[0,1]을 n등분하고 이들 각각을 하나의 버킷으 로 한다. 각 키를 크기에 따라 각 버킷에 분배한다면, 키 가 구간 내에서 균등하게 분포한다고 가정했으므로 하나 의 버킷에는 하나의 키만 들어있을 확률이 높음
  18. 18. 3.Bucket Sorting • 배열 A : 0.86, 0.32, 0.27, 0.12, 0.49, 0.21, 0.62, 0 .89, 0.71, 0.87 • ① 10개의 데이터가 있다고 하면 구간 크기가 0.1인 10개의 버킷을 만든다. • ② A의 각 원소 값에 따라 적절한 버킷에 넣 고 같은 버킷에 들어갈 값은 그림(a)와 같이 연결 리스트에 의해 연결시킨다. • ③ 다음은 각 리스트 B[i]에 대하여 삽입 정렬 을 행한다. 그 결과는 그림(b)와 같다.
  19. 19. 3.Bucket Sorting
  20. 20. 3.Bucket Sorting in C
  21. 21. 3.Bucket Sorting in C

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