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. First normal form (1NF): If a table does not contain any replicate fields or groups of fields then that model is called as first normal form. In this form, entities do not contain any single instance of the repeating variable. It means that the entities contain only one instance of the attributes, multi-valued attributes are neglected. Second normal form (2NF): The value of all non-primary key attributes should be dependent on the primary key attribute. If any attribute is depending on the partial primary key then it should determine the other attributes for an instance of the entity. The partial dependencies should be removed from the data model. 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.

Question

7. See the code below and solve the following. public class Test { public static void main(String[] args) { int result = 0; } result = fn(2,3); System.out.println("The result is: + result); // fn(x, 1) = x // fn(x, y) = fn(x, y-1) + 2, when y>1 public static int fn(int x, int y) { if (x <= 1) return x; else return fn(x, y-1) + 2; } } 7-1. This program has a bug that leads to infinite recursion. Modify fn(int x, int y) method to fix the problem. (2 point) 7-2. Manually trace the recursive call, fn(2,3) and show the output (step by step). (2 point) 7-3. Can you identify the Base Case in recursive method fn(int x, int y)? (1 point)

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Question

Chapter 6, Problem 8RQ

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.

First normal form (1NF):

If a table does not contain any replicate fields or groups of fields then that model is called as first normal form.

In this form, entities do not contain any single instance of the repeating variable.

It means that the entities contain only one instance of the attributes, multi-valued attributes are neglected.

Second normal form (2NF):

The value of all non-primary key attributes should be dependent on the primary key attribute.

If any attribute is depending on the partial primary key then it should determine the other attributes for an instance of the entity.

The partial dependencies should be removed from the data model.

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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