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Data structure & algorithms ( Algorithm Complexity notes)

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This document provides a comprehensive overview of Algorithm Complexity, a key concept in computer science. It covers the different types of complexities, including time complexity and space complexity. The document also delves into asymptotic complexity and its associated asymptotic notations, such as Big O notation (O), Big Omega notation (Omega), and Big Theta notation (Theta). It includes clear examples to illustrate these concepts, making it an excellent resource for students studying algorithms.

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Uploaded on
September 6, 2025
Number of pages
22
Written in
2024/2025
Type
Class notes
Professor(s)
Dr.bilal ashfaq ahmed
Contains
Class 5

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Data Structures and Algorithm
(CC-2042)
Lecture 10
E N G R. D R B I L A L A S H FA Q A H M E D
S C H O O L O F S Y S T E M S A N D T E C H N O LO GY ( S S T )
C O M P U T E R S C I E N C E FA C U LT Y

, Algorithm
Complexity
 Algorithm complexity is a fundamental co
in computer science that helps us unders
the efficiency of algorithms.
 It provides a framework for analyzing how
resources required by an algorithm (such
time and memory) scale with the size of t
input.
 Understanding algorithm complexity is cr
for designing efficient algorithms and cho
the right algorithm for a particular proble




09/06/2025 DS

, What is an Algorithm?
An algorithm is a step-by-
step finite set of
instructions to perform a
specific task.




09/06/2025 DS
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