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Journal of Statistical Software November 2013, Volume 55, Code Snippet 1.http://www.jstatsoft.org/A Greedy Algorithm for Representative Sampling: resample in State Evangelist Kontopantelis University
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A greedy algorithm is used for solving optimization problems by making the best choice at each step with the hope of finding a global optimum.
There is no specific person or entity required to file a greedy algorithm, as it is a computer science algorithm used for solving optimization problems.
To implement a greedy algorithm, one must define the problem, identify the criteria for making the best choice at each step, and iteratively make decisions that lead to the best overall solution.
The purpose of a greedy algorithm is to find the optimal solution to an optimization problem by making a series of locally optimal choices.
A greedy algorithm does not require any specific information to be reported, as it is a computational method for solving optimization problems.
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