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Team:Davidson-MissouriW/Project
From 2010.igem.org
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<p>In mathematics, there exists a class of complex mathematical problems, known as NP-complete problems, where there are no efficient algorithms to solve these problems other than exhaustive search of trying all the possible solutions one at a time and determining whether or not they are actually solutions. Bacterial computers offer a more efficient alternative approach to solving these NP-complete problems. By engineering a Bacterial computer, the millions of cells can simultaneously try the possible solutions and determine whether they are in fact a solution to the given problem. | <p>In mathematics, there exists a class of complex mathematical problems, known as NP-complete problems, where there are no efficient algorithms to solve these problems other than exhaustive search of trying all the possible solutions one at a time and determining whether or not they are actually solutions. Bacterial computers offer a more efficient alternative approach to solving these NP-complete problems. By engineering a Bacterial computer, the millions of cells can simultaneously try the possible solutions and determine whether they are in fact a solution to the given problem. | ||
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Besides the much greater efficiency and speed, another advantage of bacterial computers is that it actually becomes more powerful as the number of cells increase from cell division. Despite the complexity of bacterial computing, it is quickly gaining popularity because of its many advantages over the traditional computer. | Besides the much greater efficiency and speed, another advantage of bacterial computers is that it actually becomes more powerful as the number of cells increase from cell division. Despite the complexity of bacterial computing, it is quickly gaining popularity because of its many advantages over the traditional computer. | ||
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Revision as of 19:35, 28 July 2010
iGEM Davidson – MWSU 2010: Project
Abstract
This is our project. It is cool. You should like it. Give us an A.
Introduction
In mathematics, there exists a class of complex mathematical problems, known as NP-complete problems, where there are no efficient algorithms to solve these problems other than exhaustive search of trying all the possible solutions one at a time and determining whether or not they are actually solutions. Bacterial computers offer a more efficient alternative approach to solving these NP-complete problems. By engineering a Bacterial computer, the millions of cells can simultaneously try the possible solutions and determine whether they are in fact a solution to the given problem.
Besides the much greater efficiency and speed, another advantage of bacterial computers is that it actually becomes more powerful as the number of cells increase from cell division. Despite the complexity of bacterial computing, it is quickly gaining popularity because of its many advantages over the traditional computer.
