Data Structures and Algorithms Study Guide

Part I: Big O

Terms	n =	5	10	20	30
Constant	O(1)	1	1	1	1
Logarithmic	O(log n)	2.3219	3.3219	4.3219	4.9068
Linear	O(N)	5	10	20	30
Linearithmic	O(N log n)	11.609	33.219	84.638	147.204
Polynomial	O(N ^ 2)	25	100	400	900
Exponential	O(2 ^ N)	32	1024	1,048,576	1,073,741,824
Factorial	O(N!)	120	3,628,800	2,432,902..	265,252,859,812,...

Part II: Data Structures

Part III: Algorithms

Part IV: Approaches

Credit for code samples and inspiration to continue on this journey is noted in each file. I've written pseudo code for each to confirm my understanding, which continues to grow.