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Everyday data structures

Everyday data structures

By : Smith
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Everyday data structures

Everyday data structures

By: Smith

Overview of this book

Explore a new world of data structures and their applications easily with this data structures book. Written by software expert William Smith, you?ll learn how to master basic and advanced data structure concepts. ? Fully understand data structures using Java, C and other common languages ? Work through practical examples and learn real-world applications ? Get to grips with data structure problem solving using case studies
Table of Contents (14 chapters)
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1
1. Data Types: Foundational Structures

Visual graph concepts

It is sometimes easier to grasp the concept of graph data structures using visual representations of some collections. Consider the following diagram:

Visual graph concepts

This is a basic graph consisting of eleven nodes and twelve edges. Sets N and E can be described as follows:

N = {2, 3, 4, 5, 9, 11, 19, 38, 52, 77, 97}

E = {2:38, 2:77, 2:97, 3:19, 4:77, 5:2, 5:19, 11:2, 11:4, 11:5, 11:52, 77:9}

Note that, in this example, there are only unidirectional edges between nodes. This is perfectly acceptable, but graphs are much more powerful when bidirectional nodes are permitted. Consider the following example:

Visual graph concepts

This is the same graph we saw earlier, but set E now contains several new reciprocal edges between existing nodes. Sets N and E can now be described as follows:

N = {2, 3, 4, 5, 9, 11, 19, 38, 52, 77, 97}

E = {2:5, 2:38, 2:77, 2:97, 3:19, 4:11, 4:77, 5:2, 5:19, 11:2, 11:4, 11:5, 11:52, 77:9, 97:2}

Finally, edges between nodes can also be defined with a particular value. Consider the...

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