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This unit dealt along with the methods of physically storing data in the files. The terms fields, records & files were described. The organization types were introduced.
The several file organization techniques were discussed. Sequential File Organization finds employ in application areas where batch processing is more common. Sequential files are simple to employ and can be stored on cheap media. They are appropriate for applications that need direct access to only specific records of the collection. They do not provide sufficient support for interactive applications.
In Direct file organization, there exists a predictable relationship among the key used and to identify a specific record on secondary storage. A direct file has to be stored on a direct access device. Direct files are utilized extensively in application areas where interactive processing is utilized.
An Indexed Sequential file supports both sequential access through key value & direct access to a specific record, given its key value. It is implemented by developing an index on top of a sequential data file that resides on a direct access storage device.
Q. Define the graph, adjacency matrix, adjacency list, hash function, adjacency matrix, sparse matrix, reachability matrix.
write short note on algorithms
How sparse matrix stored in the memory of a computer?
Q. Write down an algorithm to evaluate an expression given to you in postfix notation. Show the execution of your algorithm for the following given expression. AB^CD-EF/GH+/+*
INSERT FUNCTION /*prototypes of insert & find functions */ list * insert_list(list *); list * find(list *, int); /*definition of anyinsert function */ list * inser
representation of linear array
Define File organization''s and it''s types
Binary Search Tree let three types of traversals by its nodes. They are: Pre Order Traversal In Order Traversal Post Order Traversal In Pre Order Traversal, we ca
Q. Write down any four applications or implementation of the stack. Ans. (i) The Conversion of infix to postfix form (ii)
A depth-first traversal of a tree visits a nodefirst and then recursively visits the subtrees of that node. Similarly, depth-first traversal of a graph visits a vertex and then rec
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