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Name the metrics for selecting top algorithm
There are a number of metrics for selecting top algorithm:
i) Computational complexity: Computational complexity refers to efficiency. The processor time increases as a function of size of data structure. But small factors of inefficiency are unimportant if they improve clarity.
ii) Ease of use: a simple algorithm, which is easy to use and understand, could be used for less important operations.
iii) Flexibility: The fully optimized algorithm is normally less readable and very hard to implement. The solution for this is to provide two implementations of the crucial operations:
Breaking into Subsystems Decomposition is a significant technique for coping with complexity based on idea of divide and conquers. In dividing a problem into sub problems, the
Consider the subsequent relations RENTER(rno, fname, lname, address, tel_no, pref_type, max_rent) VIEWING(rno, pno, date, comment) PROPERTY_FOR_RENT( pno, street, area ,city,
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Convert the following ER - diagram (Entity Relationship Diagram) into a relational database (the primary keys are underlined): Ans: The relational database schema f
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Ask qu. Write a XML with database with book details (Book ID, Title, Author, subject, published year, language, vendor, and price).estion #Minimum 100 words accepted#
What is D command work in the respect of QBE? D: It is the command inside QBE to delete tuple(s) from the relation.
Explain the Aggregation implies concurrency Concurrency actually is: This in objects can be identified by the way they change state. Present objects can change state independen
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