Presentations text content in Data Structure and Algorithm
Slide1
Data Structure and Algorithm
Introduction
Slide2Introduction
The manner in which computer program is being developed is not as simple as you may possibly think.
It comprises a lot of study, test, and recording to complete a first-rate outcome.
Sequence of steps are used to organized a large activities needed to build a program.
Slide3Planning
Analysis
Design
(DSA)
Implementation
Evolution
Slide4What is Data Structure?
It is an arrangement of data in a computer’s memory or disk storage space.
Example:
Arrays
Linked list
Queues
Stacks
Binary trees
Slide5Name
Relationship
Bhilly
Brother-in-Law
BJ
Nephew
Carmela
Myself
Celeste
Sister
Celine
Niece
Ianne
Niece
Imee
Sister-in-Law
Issah
Niece
Jhun
Brother-in-Law
JJ
Nephew
Joey
Brother
Jomar
Nephew
Jose
Father
Margarita
Mother
Mhillet
Sister
Rochie
Sister
Slide6Celeste Jhun
Jose Margarita
Joey
Imee
Mhillet
Bhilly
Rochie
Carmela
Celine & BJ
JJ &
Jomar
Issah
&
Ianne
Slide7Significance of DSA
The use of DSA is the essential working components used by programmers to store and manipulate data.
For programmers to easily understand on how they work and which algorithm or data structure is best fit for a particular condition were provided.
Slide8Data Structure Taxonomy
Slide9Linear VS Non-Linear
In linear there is a unique first and last element and every other element has a unique predecessor and unique successor, except for the first and last elements.
This type of data structure performs insert, delete, search, update operations sequentially or in order.
Non-Linear data structure performs traversing, Inserting, delete, search and update operation randomly.
Slide10Sequential VS Direct
In Direct access, elements can be accessed at random, in any order. Any element can be accessed without accessing its predecessor or successor.
In Sequential access, elements must be accessed in some specified order. To access the nth element you must access the preceding n-1 elements.
Slide11Homogeneous VS Heterogeneous
In homogeneous, all elements in the structure are
of same
data types.
In
heterogeneous
, all elements in the structure are of different data types.
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Data Structure and Algorithm
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