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A Karnaugh map (KM or K-map) is a diagram that can be used to simplify a Boolean algebra expression. Maurice Karnaugh introduced the technique in 1953 [ 1 ] [ 2 ] as a refinement of Edward W. Veitch 's 1952 Veitch chart , [ 3 ] [ 4 ] which itself was a rediscovery of Allan Marquand 's 1881 logical diagram [ 5 ] [ 6 ] or Marquand diagram . [ 4 ]
A multilinear map of one variable is a linear map, and of two variables is a bilinear map. More generally, for any nonnegative integer , a multilinear map of k variables is called a k-linear map. If the codomain of a multilinear map is the field of scalars, it is called a multilinear form.
Because a + b + c = K for all substances being graphed, any one variable is not independent of the others, so only two variables must be known to find a sample's point on the graph: for instance, c must be equal to K − a − b. Because the three numerical values cannot vary independently—there are only two degrees of freedom—it is ...
Karnaugh map of AB ∨ A C ∨ BC. Omitting the red rectangle does not change the covered area. Omitting the red rectangle does not change the covered area. In Boolean algebra , the consensus theorem or rule of consensus [ 1 ] is the identity:
Those 16 numbers correspond to the minterms of Image:K-map minterms.svg used in a 4-variable [[:en:Karnaugh map File usage No pages on the English Wikipedia use this file (pages on other projects are not listed).
A variant of the 3-satisfiability problem is the one-in-three 3-SAT (also known variously as 1-in-3-SAT and exactly-1 3-SAT). Given a conjunctive normal form with three literals per clause, the problem is to determine whether there exists a truth assignment to the variables so that each clause has exactly one TRUE literal (and thus exactly two ...
For 3 variables, Brenner et al. applied multivariate mutual information to neural coding and called its negativity "synergy" [15] and Watkinson et al. applied it to genetic expression. [16] For arbitrary k variables, Tapia et al. applied multivariate mutual information to gene expression. [17] [14] It can be zero, positive, or negative. [13]
For a function of n variables the number of prime implicants can be as large as /, [25] e.g. for 32 variables there may be over 534 × 10 12 prime implicants. Functions with a large number of variables have to be minimized with potentially non-optimal heuristic methods, of which the Espresso heuristic logic minimizer was the de facto standard ...