CS3230 – (Solution)

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Description

CS3230 Programming Assignment 2
Background
Details
There are a total of N lectures that need to be conducted labelled 0 to N − 1 and each lecture must be given at a fixed time slot but there are only L lecture halls. For convenience, the time slot for lecture i starts at starti time units and ends at endi time units where starti < endi. Another lecture can start right after a lecture ends in the same lecture hall which means if one lecture ends at 5 time units and another lecture starts at 5 time units, both can use the same lecture hall.
Given these limitations, you need to calculate 2 values.
1. If you don’t want to cancel any lectures, what is the minimum number of lecture halls thatneed to be booked such that all the lectures can be scheduled in a way where no 2 lectures are in the same lecture hall at the same time.
2. If there are only L lecture halls, what is the minimum number of lectures that need to be cancelled so that all the lectures can take place at their time slot using only L lecture halls.
Implementation
You need to implement 2 functions to calculate the 2 values described above. The functions will take in 4 parameters:
• N – The number of lectures
• L – The number of lecture halls
• start – A list of N integers integers where start[i] is starti as described above
• end – A list of N integers where end[i] is endi as described above
You are allowed to submit in either Java or C++11. Templates for both languages have been provided in the IVLE Workbin in the same folder as this task statement. The templates have implemented the I/O routines for you so you are strongly encouraged to use them. In addition, you are allowed to add other functions into your program to modularise your code but you must submit only ONE source file.
For testing purposes, the program will read in the parameters listed above from standard input in the exact order listed above for each test case with each parameter on a separate line. There can be multiple test cases within one run and the first integer gives the number of test cases. The program will output one line for each test case, which contains one integer that is the answer for that test case.
For example, if there are 5 lectures and 2 lecture halls where start = [3, 5, 4, 2, 1] and end = [4, 6, 7, 5, 5] then the input it expects will look like this:
1
5
2
3 5 4 2 1
4 6 7 5 5
Example
For the example given above, if no lectures can be cancelled then the minimum number of lecture halls required is 3. The first lecture hall would host lectures 4 and 1 in that order while the second lecture hall would host lectures 0 and 2 in that order and the third lecture hall would host lecture
3. The scheduling will look like the following diagram:

However, since area is only 2 lecture halls, the minimum number of lectures that need to be cancelled is 1. Specifically, cancelling lecture 3 will allow all the remaining lectures to fit into 2 lecture halls.
Submission
The assignment is split into multiple parts with a separate score for each part. You are encouraged to work on all the parts in order since it will help you design your algorithm step by step.
In addition, sample test cases for each part has been provided for you on the IVLE Workbin to do your own testing. However, do note that these test cases are different from the ones on the online judge so solving those test cases correctly does not ensure that you will solve those on the judge correctly.
Scoring
Part A (2%)
In the first part, you are required to simply design any algorithm that solves the problem to show that you understand the problem. The test cases for this part will satisfy the following restrictions:
• 1 ≤ L ≤ N ≤ 5
• 1 ≤ starti < endi ≤ 10 for all i
Part B (2%)
In the second part, you are required to design a Greedy algorithm to calculate the first value and it should run in time complexity O(N × max(endi)). In this part, L = N for all test cases so there will always be enough lecture halls and thus no lectures have to be cancelled. The test cases for this part will satisfy the following restrictions:
• 1 ≤ L = N ≤ 500
• 1 ≤ starti < endi ≤ 1000 for all i
Part C (2%)
In the third part, you are required to design a Greedy algorithm to calculate the second value and it should run in time complexity O(NL). You should add this algorithm on top of your solution for Part B to get the full credit. The test cases for this part will satisfy the following restrictions:
• 1 ≤ L ≤ N ≤ 500
• 1 ≤ starti < endi ≤ 1000 for all i
Part D (2%)
• 1 ≤ L ≤ N ≤ 30000
• 1 ≤ starti < endi ≤ 1000000000 for all i

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