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There are many kinds of entity relationships in a database model. The relationships can be classified by the following things.
Cardinality: maximum and minimumDegree: binary, ternary, degree 4, and so forthEntity type: strong, weak, ID-dependent, and supertype/subtype
Discuss different types of classifications and do they overlap, or do they each tell us something unique about the entity relationship? Why is it important to classify each of these types in an ERD (entity relationship diagram) model?
"Consensus algorithm": A group of ten people need to decide which one flavor of ice cream they will all order, out of three options.
Describe the algorithm in psuedo-code. You should give thought to what data structures(s) make sense for e client implementation. Determine computational complexity of your algorithm.
Algorithm that will receive two integer items from a terminal operator, and display to the screen their sum, difference, product and quotient.
Write an algorithm in pseudo code to settle following question: A bank account starts out with $10,000. Interest is compounded monthly at 6% per year(0.5% per month).
Create the algorithm to calculte and print average earnings, lowest earnings, and highest earnings of group of employees. Each input record will contain name and earnings of one employee.
Determine the total number of keys that are needed for organization if symmetric cipher is used.
Illustrate insertion into the linear hash file. Suppose that bucket splitting occurs whenever file load factor exceeds (is greater than) 0.8.
Create a list of major steps to follow to get input, process, and output desired information (software requirements). Refine the list to include individual refined steps (algorithm).
In which view can you see header and footer areas of worksheet?
"sort an array of 10,000 elements using quick sort algorithm as follows: sort the array using pivot as middle element of the array
Paws'n Tails is an online pet shop that wants to influence what customers buy and builkd effective customer relationships and loyalty.
Assume you have the array A of n items, and you want to find k items in A closest to the median of A. Describe why your algorithm runs in O(n) time.
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