Tree Data Structures Applications & Mathematical Properties | Expresstion Tree in Hindi / Urdu. Expression and expansion trees are two major applications and use of tree data structure. #expressiontree #treedatastructures #datastrcuturesfulltutorial #CS301 #VU #VirtaulUniversity #datastructures #nonlineardatastructures
In this short video I will try to explain how expansion tree work and what are other applications. This is a continuing video on Tree data structure. There are two mathematical properties of tree in which we can calculate the nodes and number of nodes formula using tree and expressions tree.
we will also know that internal nodes and external nodes and how many links can be added by a parent and root node and how can we calculate teh levels as well.
What will you learn after watching this video lesson?
1. What is expression tree data structures?
2. What are internal nodes and external in tree data structures?
3. What are the different mathematical properties in tree non-linear data structures?
4. What are the differences between internal nodes and external nodes and expression tree. data structures?
5. what is the philosophy of data structures?
Playlist Introudction
Data structures and algorithms subject are being taught to every computer science software engineering and information technology student in their undergraduate and postgraduate degree programs. Data structures tutorial is also needed by the students who are going to appear in different job test preparation exams. They need data structures MCQs and data structures and algorithms tutorials videos from which they can learn the concepts and philosophy of different data structures like arrays stacks to queue linked list tree binary search tree AVL tree and heap tree.
In this data structures playlist, I am going to record all the videos that will present a complete Data Structure tutorial in Urdu and Hindi version by which you can learn all the interview questions can learn different MCQs and you can also learn the basic course structure about data structures.
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