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1. Presentation
On
TYPES OF DATA STRUCTURES
Sub:
DATA
STRUCTURES
3nd Sem Computer
(2015-16)
Prepared By:
Name: Shail M Nakum
Enr No: 150410107054
Class: S.Y.: Computer
Div.-I

2. Data
Structure
It is a logical way of
storing data and it also
define mechanism of
retrieve data.

3. Types of
Data Structure
DATA
STRUCTURE
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Difference between
Linear and Nonlinear
Data Structures

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• Main difference between linear and nonlinear
data structures lie in the way they organize
data elements.
• In linear data structures, data elements are
organized sequentially and therefore they are
easy to implement in the computer’s memory.
• In nonlinear data structures, a data element
can be attached to several other data elements
to represent specific relationships that exist
among them.

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• Due to this nonlinear structure, they might be
difficult to be implemented in computer’s
linear memory compared to implementing
linear data structures.
• Selecting one data structure type over the
other should be done carefully by considering
the relationship among the data elements that
needs to be stored.

7. Linear
Data Structure
1.Array
2.Stack
3.Queue
4.Linked List
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8. 1.Array
• An array is a collection of
homogeneous type of data
elements.
• An array is consisting of a
collection of elements .
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9. Array
Representation
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10. 2.Stack
A Stack is a list of elements in
which an element may be inserted or
deleted at one end which is known
as TOP of the stack.
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11. Operation Performed
of Stack
Push: add an element
in stack
Pop: remove an
element in stack
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12. Stack Representation
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13. 3.Queue
A queue is a linear list of element in
which insertion can be done at one end
which is known as front and deletion
can be done which is known as rear.
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14. Representation of
Queue
55 65 75
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15. 4.Linked List
A Linked list is a linear collection of data
elements .It has two part one is info and
other is link part.info part gives
information and link part is address of
next node
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16. Linked
Representation
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17. 2.Non Linear
1.Tree
2.Graph
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18. 1.Tree
In computer science, a tree is a
widely-used data structure that
emulates a hierarchical tree
structure with a set of linked nodes.
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19. Tree Representation
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20. 2.Graph
A graph data structure may also
associate to each edge some edge value,
such as a symbolic label or a numeric
attribute (cost, capacity, length, etc.).
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21. Graph
Representation
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