6. Algorithm Intro

Description

Algorithms and Data Structures | Test 3 Review | CSCI-3110-002 MTSU
Mena Sargios
Quiz by Mena Sargios, updated more than 1 year ago
Mena Sargios
Created by Mena Sargios over 7 years ago
20
0

Resource summary

Question 1

Question
How many times is the following cout statement executed within this loop? int counter = 0; for(int k=0; k<5; k++) { cout << "counter: " << counter << endl; }
Answer
  • 5 times
  • 4 times

Question 2

Question
What is the big O for printing in a linked list.
Answer
  • O(N)
  • none of the above

Question 3

Question
How long does it take to excute for n items in for loop?
Answer
  • A.n+1
  • B.n+2
  • C.n+3
  • D.n

Question 4

Question
Program execution times are susceptible to the hardware, tricks , data, etc.
Answer
  • True
  • False

Question 5

Question
for ( int i = 0; i < 4; i++) for( int x = 0; x <3 ; x++) cout << "hi"<< endl; how many times will the cout statement execute?
Answer
  • A)15
  • B)10
  • C)12
  • D)11

Question 6

Question
How many times would the cout operation be done in this loop? for(int i = 0; i < n; i++){ for(int j = 0; j < n; j++){ for(int k = 0; k < 5; k++){ cout << "o hai.";
Answer
  • 5*n*n times
  • none of the above

Question 7

Question
How many time is the cout statement executed in the following for loop? int counter = 0; for( int k = 0; k < 5; k++){ cout << "counter: " << counter << endl; }
Answer
  • A) 4
  • B) 0
  • C) 5
  • D) 6

Question 8

Question
When measuring algorithm efficiency, the program is susceptible to ____
Answer
  • a. hardware
  • b. data
  • c. tricks
  • d. all of the above
  • e. none of the above
  • f. a,b,c, and more

Question 9

Question
When you are calculating the number of loops that a nested for loop runs through, you should:
Answer
  • A. Multiply the number of loops together
  • B. Count the number of loops that the first for loop runs through
  • C. Make a guess
  • D. None of the above

Question 10

Question
How do you measure the efficiency of algorithms?
Answer
  • A) you can't, not enough information
  • B) Focus on algorithm, not program
  • C) none

Question 11

Question
What is algorithm analysis measuring?
Answer
  • A. the efficiency of algorithms
  • B. the number of lines of code
  • C. how often the program will enter an infinite loop
  • D. how much memory leakage there is

Question 12

Question
How many steps does the following take to execute if there's n items in a list? Node* curr = m_head; // 1 assignment while( curr !=NULL) { //n + 1 comparisons cout << curr->next; // n calls to operator<< curr = curr->next; // n assignments } Total: (n + 1) * assignment_time = (n + 1) * comparison_time + n write_time
Answer
  • A. 6 steps
  • B. 5 steps
  • C. 4 steps
  • D. 3 steps

Question 13

Question
What is the big O for this segment of code: long factorial(int n){ if(n <= 1) return 1; else return n * factorial(n - 1); }
Answer
  • O(N)
  • none of the above

Question 14

Question
Program execution times are susceptible to hardware, tricks, data.
Answer
  • True
  • False

Question 15

Question
How many itterations would a quadruply-nested for loop with base itterations 7 and all others itterating at n itterate?
Answer
  • 7*n^3
  • none of the above
Show full summary Hide full summary

Similar

2. Red Black Tree
Mena Sargios
12. Graph Traversal
Mena Sargios
5. B-Tree
Mena Sargios
3. 2-3 Tree
Mena Sargios
7. Algorithm Growth Rate
Mena Sargios
16. Greedy Algorithm (Huffman code)
Mena Sargios
4. 2-3-4 Tree
Mena Sargios
1. Trees Splay Trees
Mena Sargios
10. Hashing Collision
Mena Sargios
14. Graph Shrtest Path
Mena Sargios
15. Graph Spanning Tree
Mena Sargios