Algorithms for Coding Interviews in Java/

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Time Complexities of Sorting Algorithms (Overview)

Here's a quick summary of the time complexity of sorting algorithms.

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Now that we’ve gone over how most famous and important sorting algorithms work, here’s a quick table that you can refer to when you are solving coding problems!

	Insertion	Selection	Merge	Quick	Bubble
Best case	$O(n)$	$O(n^2)$	$O(nlog(n))$	$O(nlog(n))$	$O(n)$
Average case	$O(n^2)$	$O(n^2)$	$O(nlog(n))$	$O(nlog(n))$	$O(n^2)$
Worst case	$O(n^2)$	$O(n^2)$	$O(nlog(n))$	$O(n^2)$	$O(n^2)$

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Introduction

Algorithmic Paradigms

Asymptotic Analysis

Sorting and Searching

Dynamic Programming

Greedy Algorithms

Divide and Conquer

Graph Algorithms

Appendix: Auxiliary Source Code

Conclusion

Time Complexities of Sorting Algorithms (Overview)