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1. For the ER diagram you created in assignment, the artefact of the conceptual database design, map the ER model into the relational model according to how it was designed in the ER diagram. You may however first refine your ER diagram if necessary. The actual assessment of this part is in the point below.
2. For all the relations that arise from this ("first-cut") ER diagram, list all those that are already in 3NF. If there are some relations that are not in 3NF yet, then convert them into 3NF with proper procedure and explanations.
3. Draw the global relation diagram for your final, revised, and normalised database design, and keep all the relevant details there. It should be in a similar form to Figure of the textbook, but all the attributes should be kept there too. Include in the diagram all the primary keys, foreign keys, and the multiplicity constraints. Identify and discuss the potential data redundancies or anomalies that may still exist in your design, if any.
Q. Give the algorithm to build a binary tree where the yields of preorder and post order traversal are given to us.
The above 3 cases are also considered conversely while the parent of Z is to the right of its own parent. All the different kind of cases can be illustrated through an instance. Le
Five popular hashing functions are as follows: 1) Division Method 2) Midsquare Method 3) Folding Method 4) Multiplicative method 5) Digit Analysis
Conceptually, the stack abstract data type mimics the information kept into a pile on a desk. Informally, first we consider a material on a desk, where we might keep separate stack
In a circular linked list There is no beginning and no end.
Arrays :- To execute a stack we need a variable called top, that holds the index of the top element of stack and an array to hold the part of the stack.
what is a balance tree?
A graph is a mathematical structure giving of a set of vertexes (v1, v2, v3) and a group of edges (e1, e2, e3). An edge is a set of vertexes. The two vertexes are named the edge en
multilist representation of graph
Explain class P problems Class P is a class of decision problems that can be solved in polynomial time by(deterministic) algorithms. This class of problems is kno
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