Homework 3: Algorithms and Induction
1. (2 points) Consider the following function operating on natural numbers:
f(0) = 0
f(1) = 1
f(2) = 3
f(3) = 4
If n > 3, f(n) = max(f(n - 2) + f(n -3), f(n - 1))
What is f(7)?
a. 8
b. 7
c. 10
*d. 11
2. (2 points) What is the complexity of the program given below ? where m, n >= 1.
int x=0;
for (int i = 1; i <= m; i += c) {
X = x + 2;
}
for (int i = 1; i <=n; i += c) {
x = x * 3;
}
a. O(2m)
b. O(2n)
*c. O(m + n)
d. O(m * n)
3. (2 points) Using the greedy algorithm to make change for 89 cents, we would wind up employing:
a. Eight dimes, one nickel, and four pennies.
*b. Three quarters, one dime, and four pennies.
c. Three quarters, two nickels, and four pennies.
d. Two quarters, three dimes, one nickel, four pennies
4. (2 points) Which amount of postage can be formed using just 3-cent stamp and 10-cent stamps?
a. 5
b. 17
c. 11
*d. 19
5. (2 points) What is the value of f(5) if f is recursively defined as following :
f(n) = f(n - 1) + f(n - 2) + 1 where n > 1 and f(0) = f(1) = 1.
a. 9
*b. 15
c. 25
d. 5
6. (2 points) Which is the big-O of the following code snippet:
if (x equals 3) {
for (int y = 0; y < 5; y = y + 1) {
printf(“hello”);
}
}
*a. O(1)
b. O(x)
C. O(y)
d. O(x*y)
7. (2 points) If the entire list is searched sequentially without locating x in linear search, the solution is ___
a. 5
b. -1
*c. 0
d. 1
8. (1 points) f(x) = 1000x is O(x)
*True
9. (1 points) f(x) = 788 is O(x)
*True
10. (1 points) f(x) = 25 log (x/2) is O(x)
*True
11. (1 points) Every simple polynomial with sides > 3 has an interior diagonal.
*True
12. (2 points) If f is defined recursively by:
f (0) = −1, f (1) = 2, and for n = 2, 3, ...
f(n) = f(n - 1) / f(n - 2)
Then f(3) =
*a. -1
b. 1
c. 2
d. -2
13. (1 points) Consider following code snippet
for (int i = 0; i < x ; i++) {
for(int j = 0; j < y ; j++){
printf(“Yes!”);
}
Big-O of this code is O(x + y)
*False
14. (1 points) (x + 1)*(3x + 4)/(2x - 5) is O(x)
*True
15. (4 points) Extend the book’s proof that 2^n < n! where n >= 4 to show that asymptotically x^n grows more slowly than n!
16. (4 points) The book gave a power algorithm for powers where the power is >= 0. Extend that to handle negative, integral powers.
17. (3 points) Given that a(n) = n + a(n-1) - 5 and a(0) = 5, what is a(6)?
a.1
b.-2
*c. -4
d.-5