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# 2 - Analysis

### Problem Solving with Algorithms and Data Structures(Python)

average case algorithm performs somewhere in between these two extremes
Big-O notation order of magnitude; used to compare efficiency of algorithms
brute force technique for solving a problem typically tries to exhaust all possibilities
checking off to determine and keep track of whether certain conditions are met by multiple pieces of data
exponential O(2^n); function that grows extremely fast
linear O(n); polynomial of degree one; straight line
log linear O(n log n); a function whose growth is somewhere between logarithmic and quadratic
logarithmic O(log n); slowest growing function
order of magnitude a function that describes the part of T(n) that increases the fastest as the value of n increases
quadratic O( n^2 ); polynomial of degree one
time complexity refers to the amount of time it takes an algorithm to run; represented in Big-O notation.
worst case refers to a particular data set where the algorithm performs especially poorly
Created by: shoemaker

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