Knowledge Construction and Recordsdata Program Codes
Obtain Knowledge Construction and Recordsdata Program Codes
| Program for Matrix operations with pointers. | Matrix operations with pointers |
| Program for Hash Desk Implementation | Hash Table Implementation |
| Program for Operations on File | Operations on File |
| Program for Hoffman’s Code Utilizing C | Hoffman’s Code |
| Program for Dijkstra Algorithm in C | Dijkstra Algorithm |
| Program for Breadth and Depth First Search | Breadth and Depth First Search |
| Program for Traversal of BFS and DFS | Traversal of BFS and DFS |
| Program for Expression Tree in C | Expression Tree |
| Program for Operations on Queue | Operations on Queue |
| Program for Round Hyperlink Listing | Circular Link List |
Knowledge Construction and Recordsdata Program Codes Laboratory Syllabus
Queues
Idea of queues as ADT, Implementation of linear and round queue utilizing linked and Idea of multi queues, de queue and precedence queue. Software of queues. Sequential group.
Stack
Idea of stack as ADT, Implementation of stacks utilizing linked and sequential group ,Significance of stack in recursion, Significance of implicit and specific stack. Idea of multi stacks, Software of stacks.
File group
Hashing operate and it’s traits,Idea of sequential, C Recordsdata and command line argument,easy Index file and direct entry file , Primitive operations and implementation in C. Sequential file group, direct file group,Processing of sequential, Index-sequential and direct recordsdata. Hashing,Idea of collision decision, linear probing, index sequential file group and their implementation rehashing ,chaining with & with out substitute.
Graphs
Graph as an ADT, Depth First Search and Breadth First Search. shortest path- Dijkstra’s algorithm Software of those algorithms and Algorithms for minimal spanning tree Illustration of graphs
utilizing adjacency matrix, adjacency listing, Prim’s and Kruskal’s .
Tree
Distinction in linear and non-linear information construction, Bushes and binary trees-concept and terminology.binary tree as an ADT. Algorithm for tree traversals (recursive and non recursive). Threaded binary tree as an ADT. Pre order, So as traversals of so as threaded binary search tree. Conversion of basic tree to binary tree. Binary search timber, Idea of threaded binary tree.
Image Tables and Dynamic Bushes
Fundamental ideas of hash tables, hash operate, hashing strategies, collision decision, bucket hashing.
AVL Bushes, Heap information construction its utility in heap type, Notion of Image Desk,OBST, Huffman’s algorithm,
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