Useful Formulae

Explore essential formulas used in asymptotic analysis to calculate algorithm time complexities. Understand summation equations and common runtime patterns to better evaluate and compare algorithm efficiency.

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Formulae
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Formulae

Here is a list of handy formulas which can be helpful when calculating the Time Complexity of an algorithm:

Summation	Equation
$\left(\sum_{i=1}^n c \right) = c + c+ c + \cdots + c$	$cn$
$\left(\sum_{i=1}^n i \right) = 1+2+3+\cdots+n$

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1.Introduction

2.Algorithmic Paradigms

3.Asymptotic Analysis

4.Sorting and Searching

5.Dynamic Programming

6.Greedy Algorithms

7.Divide and Conquer

8.Graph Algorithms

9.Appendix: Auxiliary Source Code

10.Conclusion

Useful Formulae

Formulae