Question
Download Solution PDFMatch the LIST-I with LIST-II
LIST - I |
LIST - II |
||
A. |
Breadth First Search |
I. |
LISP |
B. |
Depth First Search |
II. |
Syntax tree |
C. |
Prefix |
III. |
Stack |
D. |
Infix |
IV. |
Queue |
Choose the correct answer from the options given below:
Answer (Detailed Solution Below)
Option 4 : A - IV, B - III, C - I, D - II
Detailed Solution
Download Solution PDFThe correct answer is option 4.
Key Points
- Breadth First Search (A) uses a Queue (IV).
- BFS explores all nodes at the present depth level before moving on to nodes at the next depth level, making use of a queue data structure to keep track of nodes to be explored.
- Depth First Search (B) uses a Stack (III).
- DFS explores as far as possible along each branch before backtracking, making use of a stack data structure to keep track of the path.
- Prefix (C) is associated with LISP (I).
- In LISP and other prefix notation systems, operators precede their operands.
- Infix (D) is related to the Syntax tree (II).
- Infix notation is commonly used in arithmetic expressions and can be represented by a syntax tree where each node represents an operator and its children represent operands.
Additional Information
- Breadth First Search (BFS) and Depth First Search (DFS) are fundamental algorithms used in graph theory and have applications in various fields such as AI, network analysis, and more.
- Prefix notation, also known as Polish notation, and Infix notation are different ways of writing arithmetic expressions used in computer science and mathematics.
- Understanding the differences between these notations and their implementations is crucial for fields like compiler design and expression evaluation.