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Hi does anyone know where I can find a table which shows the Big O of operations (insert, delete, search) for common data structures?
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Space complexity refers to the total amount of memory space used by an algorithm/program, including the space of input values for execution. Calculate the space occupied by variables in an algorithm/program to determine space complexity.
To express the time complexity of an algorithm, we use something called the “Big O notation”. The Big O notation is a language we use to describe the time complexity of an algorithm. It's how we compare the efficiency of different approaches to a problem, and helps us to make decisions.
Some examples of data structures are stacks, queues, linked lists, binary tree and many more. Data structures perform some special operations only like insertion, deletion and traversal. For example, you have to store data for many employees where each employee has his name, employee id and a mobile number.
Time Complexity For example, in case of addition of two n-bit integers, N steps are taken. Consequently, the total computational time is t(N) = c*n, where c is the time consumed for addition of two bits. Here, we observe that t(N) grows linearly as input size increases.
This one is nice and clean and language-agnostic:
Big-O Cheat Sheet
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