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The third element of an optimization problem is a set of constraints, which are restrictions on the values that the variables can take.
As explained in part I of this work, the solution of a kinematic wave problem is a set of continuum least-cost paths in space-time.
The answer to this problem is a set of two APIs, according to Doraisamy and Ramalingam.
Many vision problems can be posed as labeling problems in which the solution of a problem is a set of labels assigned to image pixels or features.
If the underlying set in the formulation of a variational inequality problem is a set of fixed points of a mapping or, more precisely, of a nonexpansive mapping, then the variational inequality problem is called hierarchical variational problem.
The solution to this optimization problem is a set of interventions and a corresponding optimal flux value for the target reaction.
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By using the term modules instead of individual terms, MEA methods can also solve the functional redundancy problem, that is, a set of identified significant terms represents a redundant view of the same biological process [5].
In a conventional classification problem, the input is a set of instances (feature vectors), each of which is labeled positive or negative.
The nonoverlapping group Lasso solves the following relaxed problem: (6) where is a set of (possibly overlapping) predefined groups of SNPs.
"NP" (nondeterministic polynomial time) is a set of problems we want to solve, of varying degrees of difficulty.
Listed below is a set of problems that people with psoriasis have said are important.
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