1- Compare and contrast early and late goal tests.   2-State the time and space complexity for breadth-first search (BFS), with an explanation   3 In which algorithm, is the root node expanded first, followed by all the successors of the root node, then all of their successors at the next depth, and so on. BFS Uniform Cost Search DFS Iterative Deepening Bidirectional Search None of the others   4- What type of queue is used in the standard implementation of Breadth-First Search? LIFO FIFO YOLO Priority   5- Which of the following are true? BFS is guaranteed to take more space than DFS. BFS is always complete. There are almost no case-independent guarantees for algorithm comparisons. Instead we use asymptotic analysis that gives us a rough idea of algorithm differences under worst case circumstances, most frequently, or occasionally average circumstances. BFS is complete for problems with finite state space. BFS is cost-optimal if action (step) costs are only dependent on the depth. BFS is guaranteed to take less time than DFS. BFS is guaranteed to take more time than DFS. BFS is guaranteed to take less space than DFS. BFS is typically cost-optimal.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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1-

Compare and contrast early and late goal tests.

 

2-State the time and space complexity for breadth-first search (BFS), with an explanation

 

3

In which algorithm, is the root node expanded first, followed by all the successors of the root node, then all of their successors at the next depth, and so on.

BFS

Uniform Cost Search

DFS

Iterative Deepening

Bidirectional Search

None of the others

 

4-

What type of queue is used in the standard implementation of Breadth-First Search?

LIFO

FIFO

YOLO

Priority

 

5-

Which of the following are true?

BFS is guaranteed to take more space than DFS.

BFS is always complete.

There are almost no case-independent guarantees for algorithm comparisons. Instead we use asymptotic analysis that gives us a rough idea of algorithm differences under worst case circumstances, most frequently, or occasionally average circumstances.

BFS is complete for problems with finite state space.

BFS is cost-optimal if action (step) costs are only dependent on the depth.

BFS is guaranteed to take less time than DFS.

BFS is guaranteed to take more time than DFS.

BFS is guaranteed to take less space than DFS.

BFS is typically cost-optimal.

 
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