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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.
The space-complexity of the algorithm is a constant. It just needs space of three integers m, n and t. Thus, the space complexity is O(1). The time complexity based on the loop
Q. Consider the specification written below of a graph G V(G ) = {1,2,3,4} E(G ) = {(1,2), (1,3), (3,3), (3,4), (4,1)} (i) Draw the undirected graph. (
Define Strictly Binary Tree Strictly Binary Tree: - If each non leaf node in binary tree has non empty left and right sub-trees , then the tree is known as a strictly binary t
Q. The degree of a node is defined as the number of children it has. Shear show that in any binary tree, the total number of leaves is one more than the number of nodes of degree 2
Draw trace table and determine output from the subsequent flowchart using below data: X = 5, -3, 0, -3, 7, 0, 6, -11, -7, 12
How sparse matrix stored in the memory of a computer?
Linked List A linked list is a linear collection of data elements called nodes. The linear order is given by pointer. Every node is divided into 2 or more parts.
Define Binary Tree A binary tree T is explained as a finite set of nodes that is either empty or having of root and two disjoint binary trees TL, and TR known as, respectively
In a circular linked list There is no beginning and no end.
why the space increase in less time programs
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