Problem 1: AVL Tree

AIM :To have end to end knowledge of the balanced binary search tree and how it can be used to solve a wide range of problems efficiently.

TASK: Implement AVL Tree with Following Operations.

Operations to implement:

IMPORTANT POINTS:

1. Implement it with class or struct. It should be generic.
2. Duplicates are allowed. (We know that AVL tree doesnt have duplicates but in this task you have to handle it.)
3. For strings, you can simply compare them but for Class data type, you have to pass the comparator object so that you can compare two objects.

Parameter to Judge: Time and space complexity.

Format to submit: RollNo_Q1.cpp

References: https://en.wikipedia.org/wiki/AVL_tree

Problem 2: Hashing

Task: Implement an Unordered Map.

Aim: To learn how Hashing works and importance of Hash Functions. Also look how Universal Hashing is implemented.

Parameter to Judge: Time and space complexity.

Hashing should be efficient and appropriate reasons must be given on choice of hash function.

Functions to implement:

1. insert(key, value) insert key value pair.
2. erase(key) erase if key is present otherwise do nothing.
3. find(key) returns true or false.
4. map[key] returns the value mapped to key.

Note: Unordered Map should be generic.

Format to submit: RollNo_Q2.cpp

References:

https://en.wikipedia.org/wiki/Hash_function https://en.wikipedia.org/wiki/Universal_hashing Problem 3: Ordered Map

Task : Implement an Ordered Map which supports the given Operations

Operations:

1. insert(key, value) Insert the key value pair. If the key is already present, update its current value. [O(log n)]
2. erase(key) Erase the given key from the map if it is present. [O(log n)]
3. find(key) returns true if key was found else return 0. [O(logn)]
4. map_obj[key] (subscript operator) Access the element with the given key(if it is present in the map). Also, you should be able to modify the value at this key using this operator. If the value is not present, then insert this key with its corresponding assigned value. [O(log n)]
5. size() returns the number of keys present in the Map. [O(1)]
6. clear() removes all the elements from the Map. [O(n)]

Note:

1. You should implement this Ordered Map in a class or struct. II. Duplicates are not allowed.

III. All the operations should meet their expected time complexity. IV. You can add constructors and destructors as required.

Parameters to Judge : Correctness, Space and Time Complexity

Submission Format : RollNumber_Q3.cpp

Note : For all the questions, accuracy will be tested on the basis of test cases passed which will be provided during evaluation.