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David S. Johnson and Linear programming

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between David S. Johnson and Linear programming

David S. Johnson vs. Linear programming

David Stifler Johnson (December 9, 1945 – March 8, 2016) was an American computer scientist specializing in algorithms and optimization. Linear programming (LP, also called linear optimization) is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships.

Similarities between David S. Johnson and Linear programming

David S. Johnson and Linear programming have 3 things in common (in Unionpedia): Algorithm, Computers and Intractability, Michael Garey.

Algorithm

In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.

Algorithm and David S. Johnson · Algorithm and Linear programming · See more »

Computers and Intractability

In computer science, more specifically computational complexity theory, Computers and Intractability: A Guide to the Theory of NP-Completeness is an influential textbook by Michael Garey and David S. Johnson.

Computers and Intractability and David S. Johnson · Computers and Intractability and Linear programming · See more »

Michael Garey

Michael Randolph Garey is a computer science researcher, and co-author (with David S. Johnson) of Computers and Intractability: A Guide to the Theory of NP-completeness.

David S. Johnson and Michael Garey · Linear programming and Michael Garey · See more »

The list above answers the following questions

David S. Johnson and Linear programming Comparison

David S. Johnson has 21 relations, while Linear programming has 179. As they have in common 3, the Jaccard index is 1.50% = 3 / (21 + 179).

References

This article shows the relationship between David S. Johnson and Linear programming. To access each article from which the information was extracted, please visit:

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