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Assignment No. 01
Semester: Spring 2016
CS502: Fundamentals of Algorithms
Total Marks: 20

Due Date:19/05/2016

Please read the following instructions carefully before submitting assignment:

It should be clear that your assignment will not get any credit (zero marks) if:
o The assignment is submitted after due date.
o The submitted assignment is other than .doc file.
o The submitted assignment does NOT open or file is corrupted.
o The assignment is copied (from other student or ditto copy from any other source).


The objective of this assignment is to:

 Learn and practice Algorithm running time analysis
 Solve recurrences using iteration method


You are required to submit your solution through LMS as MS Word document.

For any query about the assignment, contact at CS502@vu.edu.pk

Question 1:
Analyze the running time complexity of the following piece of code. Show your working step by step.

SumOddEven(A,n) //A is array and n is size of array
int count, sum;
for(int i = 1; i<=n; i++) { sum_even=0; sum_odd=0; for(int j = i; j<=n; j++) { if (A[j] Mod 2 == 0) //check if number is even sum_even=sum_even+A[j] //Sum even numbers else sum_odd=sum_odd+A[j] //Sum odd numbers } cout/p>

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Replies to This Discussion

Running time complexity means ?? like we are to comment how could we shorten the runing time of this pesudo code or we got to right the new algo with better running time iam blunt !!

Guys please start discussion here!!!!

Khadija sis ap he koe idea to do

or aj lgta hy kise ko nae ateee

but........ aj seniors kahan gaeb hen

If n is assumed to be a power 4 (4­­k=n)

T(n)=4T(n/4)+1 }
 if n is  a power of 4 then let n=4k or k=log n

T(n)= 4k(n/4k)+kn
       =4(log n) T(n/ 4(log N)) + (log n) n
       =4(log n) T(n/n) + (log n) n
       =nT(1) + n log n
       =n + n log n

Khadija sis ap he koe idea to do

or aj lgta hy kise ko nae ateee

but........ aj seniors kahan gaeb hen

bor koe idea to btao yaar aj extended dayhy 

Q No.1 will solve in this way????

PARTITION( array A, int p, int r)
1 x ← A[p]
2 q ← p
3 for s ← p + 1 to r
4 do if (A[s] < x)
5 then q ← q + 1
6 swap A[q] with A[s]
7 swap A[p] with A[q]
8 return q

Je janab a gae last date bhe ub zra kholen book.....


Dear Admin sb ap bhe.........

please koe idea to bta den

Analysis of Heapsort

Heapsort calls BuildHeap once. This takes Θ(n). Heapsort then extracts roughly n maximum elements
from the heap. Each extract requires a constant amount of work (swap) and O(log n) heapify. Heapsort
is thus O(n log n).

Is HeapSort Θ(n log n)? The answer is yes. In fact, later we will show that comparison based sorting
algorithms can not run faster than Ω(n log n). Heapsort is such an algorithm and so is Mergesort that we
saw ealier.

idea nhin ha es liye asking to discuss


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