Understanding Space Complexity in Algorithms
Learn how to calculate the space complexity of algorithms within data structures, including practical examples and explanations.
🔥 Related Trending Topics
LIVE TRENDSThis video may be related to current global trending topics. Click any trend to explore more videos about what's hot right now!
THIS VIDEO IS TRENDING!
This video is currently trending in Bangladesh under the topic 's'.
About this video
Support Simple Snippets by Donations -
Google Pay UPI ID - tanmaysakpal11@okicici
PayPal - paypal.me/tanmaysakpal11
--------------------------------------------------------------------------------------------- Understand the concept of Space complexity of algorithms and how to calculate space complexity.
Definition: The space complexity of an algorithm or a computer program is the amount of memory space required to solve an instance of the computational problem as a function of the size of the input.
Simple words : It is the memory required by an algorithm to execute a program and produce output.
Similar to time complexity, Space complexity is often expressed asymptotically in big O notation, such as O(n), O(nlog(n)), O(n^2) etc., where n is the input size in units of bits needed to represent the input.
For any algorithm, memory is required for the following purposes -
1) To store program instructions.
2) To store constant values.
3) To store variable values.
4) And for few other things like function calls, jumping statements etc.
Auxiliary Space : is the temporary space (excluding the input size) allocated by your algorithm to solve the problem, with respect to input size.
Space complexity includes both Auxiliary space and space used by input.
Space Complexity = Input Size + Auxiliary space.
Full DSA playlist - https://www.youtube.com/watch?v=XCyuHSJS7XE&list=PLIY8eNdw5tW_zX3OCzX7NJ8bL1p6pWfgG
C++ Programming Tutorials for Beginners Course - https://www.youtube.com/watch?v=AKNGgAXTark&list=PLIY8eNdw5tW_o8gsLqNBu8gmScCAqKm2Q
Simple Snippets Official Website -
http://simplesnippets.tech/
Simple Snippets on Facebook -
https://www.facebook.com/simplesnippets/
Simple Snippets on Instagram -
https://www.instagram.com/simplesnippets/
Simple Snippets on Twitter -
https://twitter.com/simplesnippet
Simple Snippets Google Plus Page -
https://plus.google.com/+SimpleSnippets
Simple Snippets email ID -
simplesnippetsinfo@gmail.com
For More Technology News, Latest Updates and Blog articles visit our Official Website - http://simplesnippets.tech/
#bigonotation #algorithmanalysis #spacecomplexity #bigO
Video Information
Views
126.0K
Total views since publication
Likes
3.5K
User likes and reactions
Duration
28:08
Video length
Published
Nov 9, 2019
Release date
Quality
hd
Video definition
About the Channel
Tags and Topics
This video is tagged with the following topics. Click any tag to explore more related content and discover similar videos:
#time complexity #space complexity #time and space complexity #space complexity of algorithms #asymptotic notations #big o notation #big o notation in data structure #what is big o notation #what is big o notation in data structure #what is big o notation in algorithm #asymptotic notation #big o #what is space complexity in algorithm #what is space complexity #how space complexity is calculated #how to calculate space complexity of an algorithm
Tags help categorize content and make it easier to find related videos. Browse our collection to discover more content in these categories.