This is Created in Order to help the College Students to Get Codes of DSA 3rd Semester Btech RGPV Students to Write their C language Codes in Turbo C. COPY PASTE IN TURBO C:
Commands for Turbo C: To copy: Select the code using the mouse cursor. Press Ctrl + Ins. To paste: Open the file where you want to paste the copied code. Press Shift + Ins. To cut: Select the code using the mouse cursor. Press Shift + Del. Method: 1 Select the code using the mouse cursor. Press Ctrl + Ins to copy selected code. Open the file where you want to paste the copied code. Press Shift + Ins to paste the copied code on to the destination.
Method: 2 (Recommended) If Above Doesn't Work then:(Recommmended) Text Form: https://techsupportwhale.com/copy-paste-in-turbo-c-plus-plus/#Method%202:%20Copy-Paste%20Code%20Inside%20The%20Turbo%20C++%20Using%20Menu%20Options Video Form: https://www.youtube.com/watch?v=V2cd5LRrorw Syllabus According to RGPV:
RAJIV GANDHI PROUDYOGIKI VISHWAVIDYALAYA, BHOPAL New Scheme Based On AICTE Flexible Curricula Computer Science and Engineering, III-Semester
CS303 DATA STRUCTURES
- Review of C programming language.Introduction to Data Structure: Concepts of Data and Information, Classification of Data structures, Abstract Data Types, Implementation aspects: Memory representation. Data structures operations and its cost estimation. Introduction to linear data structures- Arrays, Linked List: Representation of linked list in memory, different implementation of linked list. Circular linked list, doubly linked list, etc. Application of linked list: polynomial manipulation using linked list, etc.
- Stacks: Stacks as ADT, Different implementation of stack, multiple stacks. Application of Stack: Conversion of infix to postfix notation using stack, evaluation of postfix expression, Recursion. Queues: Queues as ADT, Different implementation of queue, Circular queue, Concept of Dqueue and Priority Queue, Queue simulation, Application of queues.
- Tree: Definitions - Height, depth, order, degree etc. Binary Search Tree - Operations, Traversal, Search. AVL Tree, Heap, Applications and comparison of various types of tree; Introduction to forest, multi-way Tree, B tree, B+ tree, B* tree and red-black tree.
- Graphs: Introduction, Classification of graph: Directed and Undirected graphs, etc, Representation, Graph Traversal: Depth First Search (DFS), Breadth First Search (BFS), Graph algorithm: Minimum Spanning Tree (MST)- Kruskal, Prim‟s algorithms. Dijkstra‟s shortest path algorithm; Comparison between different graph algorithms. Application of graphs.
- Sorting: Introduction, Sort methods like: Bubble Sort, Quick sort. Selection sort, Heap sort, Insertion sort, Shell sort, Merge sort and Radix sort; comparison of various sorting techniques. Searching: Basic Search Techniques: Sequential search, Binary search, Comparison of search methods. Hashing & Indexing. Case Study: Application of various data structures in operating system, DBMS etc.
All Codes Files Should Be Uploaded.