Data Structures in Computer Programs
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Questions and Answers

배열의 요소를 접근하는 시간 복잡도는 무엇입니까?

  • 지수 시간 복잡도
  • 상수 시간 복잡도 (correct)
  • 로그 시간 복잡도
  • 선형 시간 복잡도

    • 링크드 리스트의 요소를 중간에 삽입하거나 삭제하는 시간 복잡도는 무엇입니까?

  • 로그 시간 복잡도
  • 상수 시간 복잡도
  • 지수 시간 복잡도
  • 선형 시간 복잡도 (correct)

    • 스택의 주요 동작은 무엇입니까?

  • 삽입, 삭제, 검색
  • 푸시, 팝, 피크 (correct)
  • 탐색, 삽입, 삭제
  • 엔큐, 디큐, 피크

    • 트리의 유형 중 루트 노드가 두 개의 자식 노드를 가진 트리는 무엇입니까?

    <p>이진 트리</p> Signup and view all the answers

    그래프의 에지가 방향을 가지는 경우를 무엇이라고 합니까?

    <p>유향 그래프</p> Signup and view all the answers

    큐의 요소를 추출하는 동작은 무엇입니까?

    <p>디큐</p> Signup and view all the answers

    Study Notes

    Data Structures in Computer Programs

    Arrays

    • A collection of elements of the same data type stored in contiguous memory locations
    • Each element is identified by an index or key
    • Operations:
      • Accessing an element by its index (constant time complexity)
      • Inserting or deleting an element (linear time complexity)

    Linked Lists

    • A dynamic collection of elements, where each element points to the next element
    • Each element is a separate object, and each element points to the next element
    • Operations:
      • Inserting or deleting an element at the beginning or end (constant time complexity)
      • Inserting or deleting an element in the middle (linear time complexity)

    Stacks

    • A Last-In-First-Out (LIFO) data structure
    • Operations:
      • Push (add an element to the top)
      • Pop (remove the top element)
      • Peek (view the top element without removing it)

    Queues

    • A First-In-First-Out (FIFO) data structure
    • Operations:
      • Enqueue (add an element to the end)
      • Dequeue (remove the front element)
      • Peek (view the front element without removing it)

    Trees

    • A hierarchical data structure with nodes that have a value and zero or more child nodes
    • Types:
      • Binary Trees: each node has at most two child nodes
      • AVL Trees: self-balancing binary search trees
      • B-Trees: self-balancing search trees for disk storage

    Graphs

    • A non-linear data structure with nodes and edges that connect nodes
    • Types:
      • Directed Graphs: edges have direction
      • Undirected Graphs: edges do not have direction
      • Weighted Graphs: edges have weights or labels
      • Unweighted Graphs: edges do not have weights or labels

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    Test your knowledge of data structures, including arrays, linked lists, stacks, queues, trees, and graphs, and their operations and types.

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