CS2040S: Data Structures and Algorithms Solved

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Problem Set 7 Part 3
Discipline.
Problem 7. Mazes are Just Dynamite! Part 3
Unfortunately, it turns out that the walls you’ve so thoughtlessly broken using your superpowers in part 2 of this problem set, were actually sentient. Angered by your actions, you were attacked by the Greater Walls, and they managed to seal your superpowers somewhere deep inside their inner labyrinths.
Luckily, you somehow managed to escape before they could do you mortal harm. However, without your superpowers, you are nothing. You need to get them back, but to do so you need to traverse another maze, now full of the spirits of the walls you’ve broken. Being now powerless and helpless, you feel cowardly and afraid, and are scared to death by the Wall Spirits as well as the all-enveloping darkness of the inner labyrinths (maze).
The goal of this problem set is to get to your superpowers with the minimum possible fear level, lest you go mad with terror and let the darkness consume you.
Preliminaries. We generally adopt the same conventions for the maze as part 1 (please refer back to part 1’s pdf if you have forgotten). The only change is that now our maze can now have characters other than ‘ ’ (spaces) and # (hashes).
Here is a pictorial example of a 2 x 6 maze:
0 1 2 3 4 5
#############
0 # W a l l #
### ##### ###
1 # M a r i a #
#############
In this example, each Wall Spirit is represented by a character (we mostly used letters inside this example to keep it less confusing, but do note that there can be characters other than letters). The integer value of the character represents the scariness level of the Wall Spirit haunting that spot. The # (hash) character is reserved and represents a True Wall (not a Wall Spirit) that cannot be passed. The ‘ ’ (space) character is also reserved and represents an empty space without any Wall Spirit or True Walls.
Now, using the first row of the example, we will trace through a small example of traversing the maze. Assume we start from (0, 1) and traverse to (0, 5), and the position of the player is represented by an asterisk (*):
0 1 2 3 4 5
#############
0 # W*a l l #
### ##### ###
Location: (0, 1). Fear level: 0
0 1 2 3 4 5
#############
0 # W a*l l #
### ##### ###
Location: (0, 2). Fear level: 0 + 97 = 97
0 1 2 3 4 5
#############
0 # W a l*l #
### ##### ###
Location: (0, 3). Fear level: 97 + 108 = 205
0 1 2 3 4 5
#############
0 # W a l l* #
### ##### ###
Location: (0, 4). Fear level: 205 + 108 = 313
0 1 2 3 4 5
#############
0 # W a l l *#
### ##### ###
Location: (0, 5). Fear level: 313 + 1 = 314
We provide you with two classes Maze and Room that represent the maze that your program will solve. The size of the maze is represented by the number of rows and columns in the maze. The maze itself is represented by a matrix of rooms. You will be able to check the four directions of the room through the public methods getNorthWall(), getSouthWall(), getEastWall() and getWestWall(). These functions return the integer value of the wall in each direction – if the wall is a True Wall (#), it returns Integer.MAX_VALUE, else if the wall is an empty space (‘ ’), it returns 0, else it returns a positive integer value representing the scariness level of the Wall Spirit in that direction.
In this problem set, you will implement the class MazeSolver that will implement the provided interface IMazeSolver.
Please read the FAQ section at the end of this document before starting to code.
Problem 7.e. Exploring the Maze
Now implement the class MazeSolver that correctly implements the IMazeSolver interface. First, implement the method:
Integer pathSearch(int startRow, int startCol, int endRow, int endCol)
Your implementation for this function should return null if no path from the specified start room to the specified end room is found. If there are paths, then return the minimum possible fear level upon reaching the end room among all possible paths. There is no need to set the onPath variable for a room for this problem set, and we have removed it from the Room class.
Your pathSearch method should be efficient and fast, as you want to get your superpowers back as soon as possible.
Problem 7.f. Runtime Analysis
What is the asymptotic worst-case runtime complexity of your pathSearch method?
Take the number of columns in the maze (the number returned by Maze.getColumns()) to be C and the number of rows in the maze (the number returned by Maze.getRows()) to be R.
You are required to state the steps and reasoning you took to arrive at your final answer. If you require any other variables for your analysis, please define them clearly.
Problem 7.g. A Change of Heart (Bonus Part 1)
For this bonus question, we make the following changes to what happens to your fear level when you pass through a Wall Spirit:
1. If the Wall Spirit’s scariness level is strictly higher than your fear level right before you meet it, then your fear level increases to match that Wall Spirit’s scariness level.
Example: If you are at (0, 0) with fear level 2 and move to (0, 1) by passing through a Wall Spirit with a scariness level of 9, then your fear level at (0, 1) will be 9.
2. Otherwise, your fear level remains the same, since the Wall Spirit is not scary enough to increase your fear level.
Example: If you are at (0, 1) with fear level 9 and move to (1, 1) by passing through a Wall Spirit with a scariness level of 2, then your fear level at (1, 1) will remain at 9.
Integer bonusSearch(int startRow, int startCol, int endRow, int endCol)
Your implementation for this function should return null if no path from the specified start room to the specified end room is found. If there are paths, then return the minimum possible fear level upon reaching the end room among all possible paths.
Problem 7.h. You are Filled with Determination (Bonus Part 2)
Integer bonusSearch(int startRow, int startCol, int endRow, int endCol, int sRow, int sCol)
The sRow and sCol parameters refer to the location of the special room. Your implementation for this function should return null if no path from the specified start room to the specified end room is found. If there are paths, then return the minimum possible fear level upon reaching the end room among all possible paths.
Note: There is no guarantee that there exists a path to the special room. There is also no requirement to stop at the specified end room if you pass by it, i.e. the path: start room → end room → special room → end room is still a valid path. For this problem, we also assume that start room ̸= special room, and end room ̸= special room.
Problem 7.i. Does it work? (Bonus Part 3)
Are you able to use the same algorithm behind your pathSearch to implement your bonusSearch methods? If yes, why? If no, why not? If the rules were changed such that your fear level becomes min(fear level, scariness level) while fear level still increases by 1 when encountering an empty space, would your algorithm still work?
In general, what conditions have to be fulfilled for your algorithm to work? Explain your thought process clearly.
Frequently Asked Questions
1. Are we allowed to use Java’s PriorityQueue/TreeSet/TreeMap? They don’t seem to have the decreaseKey functionality.
Finally, if you feel up to the challenge, you can implement your own custom priority queue that has the decreaseKey functionality. It’s a good exercise! 🙂
2. How do I properly use the PriorityQueue/TreeSet/TreeMap?
Have your objects implement the Comparable interface. More details can be found here.
In case you are unfamiliar with the Comparable interface, here is an example for a Pair class that implements Comparable, where we order by ascending x then by ascending y:
class Pair implements Comparable<Pair> { int x; int y;
public Pair(int x, int y) { this.x = x; this.y = y;
}
@Override public int compareTo(Pair p) {
// This function can be simplified, but for clarity’s // sake we are more explicit about the checks if (x < p.x) { return -1;
} else if (x > p.x) {
return 1;
} else { if (y < p.y) { return -1;
} else if (y > p.y) { return 1;
} else { return 0;
}
}
}
}
Alternatively, create a Comparator class to pass to your PriorityQueue/TreeSet/TreeMap. More details can be found here.
3. Are we allowed to modify and upload files other than MazeSolver for our submission?
No, you can complete the problems without modifying any of these other files.
4. Why are there so many bonus questions for this Problem Set?
5. Why is my code not working?
• Check if you have implemented the equals methods if you’re using custom objects, and make sure to compare objects using their equals method.
• Check through your code for possible NullPointerException.
• Think through the logic of your code, and test your code on edge cases.
• Remove all println, unused imports, and your own testing code before uploading to Coursemology.
• If all else fails, ask for help on the forums.

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