Normalization: The process used to minimize data redundancy and dependency in a relational database is known as normalization. The database table is divided into two or more tables and defines the relationship between those tables. Third normal form (3NF): The value of any non-primary key attributes will not depend on any other non-primary key attributes. If any non-primary key attributes depend on any other non-primary key attribute then it should be moved or deleted. It is termed as transitive dependency. Partial dependency: A partial dependency exists at that time of an attributes depends only a part of primary key. This dependency is related with 1 st normal form. Transitive dependency: A transitive dependency exists at that time of an attributes depends on another attribute which is not part of primary key. Functional dependency: An association between two attributes or two set of attributes in a same relational database table, which is having some constraints is known as functional dependency. In a table one attribute is functionally dependent on another attribute to take one value.

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Dijkstra's Algorithm (part 1). Consider the network shown below, and Dijkstra’s link-state algorithm. Here, we are interested in computing the least cost path from node E (note: the start node here is E) to all other nodes using Dijkstra's algorithm. Using the algorithm statement used in the textbook and its visual representation, complete the "Step 0" row in the table below showing the link state algorithm’s execution by matching the table entries (i), (ii), (iii), and (iv) with their values. Write down your final [correct] answer, as you‘ll need it for the next question.

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Chapter 6, Problem 1P

Program Plan Intro

Normalization:

The process used to minimize data redundancy and dependency in a relational database is known as normalization. The database table is divided into two or more tables and defines the relationship between those tables.

Third normal form (3NF):

The value of any non-primary key attributes will not depend on any other non-primary key attributes.

If any non-primary key attributes depend on any other non-primary key attribute then it should be moved or deleted.

It is termed as transitive dependency.

Partial dependency:

A partial dependency exists at that time of an attributes depends only a part of primary key. This dependency is related with 1^st normal form.

Transitive dependency:

A transitive dependency exists at that time of an attributes depends on another attribute which is not part of primary key.

Functional dependency:

An association between two attributes or two set of attributes in a same relational database table, which is having some constraints is known as functional dependency.

In a table one attribute is functionally dependent on another attribute to take one value.

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Dijkstra's Algorithm (part 1). Consider the network shown below, and Dijkstra’s link-state algorithm. Here, we are interested in computing the least cost path from node E (note: the start node here is E) to all other nodes using Dijkstra's algorithm. Using the algorithm statement used in the textbook and its visual representation, complete the "Step 0" row in the table below showing the link state algorithm’s execution by matching the table entries (i), (ii), (iii), and (iv) with their values. Write down your final [correct] answer, as you‘ll need it for the next question.

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