Difference between revisions of "CSC212 Final Exam 2014"
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* Assume we do not have precomputed the terms and stored them in an array first. No arrays, no data structures used here! | * Assume we do not have precomputed the terms and stored them in an array first. No arrays, no data structures used here! | ||
* Assume we do not use any form of tail-end truncation of the recursion. | * Assume we do not use any form of tail-end truncation of the recursion. | ||
− | * What it the best complexity we can expect for computing recursively the ''n''<sup>th</sup> Fibonacci term, if we are very efficient in our coding? O(1), O(n log(n) ), O(n), O(n^2 | + | * What it the best complexity we can expect for computing recursively the ''n''<sup>th</sup> Fibonacci term, if we are very efficient in our coding? O(1), O(n log(n) ), O(n), O(n^2), O(2^n)? |
<onlydft> | <onlydft> | ||
:(answer: O(n)) | :(answer: O(n)) | ||
</onlydft> | </onlydft> | ||
<br /> | <br /> | ||
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=Problem #4= | =Problem #4= | ||
<br /> | <br /> |
Revision as of 18:29, 9 December 2014
--D. Thiebaut (talk) 15:16, 9 December 2014 (EST)
Problem #2
- in a heap of N items, that keeps the largest item at the top, we can find the smallest item in the heap in O(log(N)). True or False?
Problem #3
- Assume we want to compute the nth term of a Fibonacci sequence, and do so recursively.
- Assume we do not have precomputed the terms and stored them in an array first. No arrays, no data structures used here!
- Assume we do not use any form of tail-end truncation of the recursion.
- What it the best complexity we can expect for computing recursively the nth Fibonacci term, if we are very efficient in our coding? O(1), O(n log(n) ), O(n), O(n^2), O(2^n)?
Problem #4
- What is the time complexity of this group of nested loops?
for ( int i=0; i<N; i++ )
for ( int j=i; j<N; j++ )
for ( int k=0; k<j; k++ )
sum += i + j + k;
- O(N)? O(N^2)? O(N^3)? O(N^4)? O( N.log(N) )?
Problem #5
- InsertionSort can sometimes sort faster than QuickSort? True or False?
Problem #6
- We cannot create a BST of nodes containing strings, because the string's hash function generates an index that is not related to the alphabetical order of the string. For example, "Alpha" has a hashCode of 63357246, "Bravo " a hashCode of 1997811958, and "Claro" a hashCode of 65190197. These are not sorted in the same order as the strings are. So we cannot create a BST of strings. True or False?
Problem #7
- If we visit a BST using BFS, the nodes will get visited in order (either increasing or decreasing). True or False?
Problem #8
- Assume that we have this series: 1, 1, 1, 3, 5, 9, 17, 31, 57, etc. Each term is the sum of the previous 3. The 0th term is 1, the 1st is 1, the 2nd is 1, the 3rd is 3, etc.
- The 73rd term is 9088947301592921387. True or False?
- The 70th term is 70 1460714212526492817. True or False?
Problem #9
- Assume we have a function that generates random RPN expressions:
static String randomRPN( int n ) {
Random generator = new Random();
generator.setSeed( 11 );
String s = "";
int noOps = 0;
int no11s = 0;
for ( int i=0; i<n; i++ ) {
int r = generator.nextInt(5);
int x =(1+generator.nextInt(10));
int y =(1+generator.nextInt(10));
switch ( r ) {
case 0: s += x + " " + y + " + "; noOps++; break;
case 1: s += x + " " + y + " - "; noOps++; break;
case 2: s += x + " " + y + " % "; noOps++; break;
case 3: s += "11 "; no11s++; break;
}
}
noOps--;
while ( noOps-- > 0 )
s += "+ ";
while ( no11s-- > 0 )
s += "- ";
return s;
}
- If we call it and pass it 200 as an argument, it prints a fairly long string that starts with "11 4 8 + 4 4 + 5 5 %" and ends with " - - - - - - - - - -".
- If we evaluate this RPN expression, the result is -725. True of False?
</onlydft>