fastG apF ill allows to identify stoichiometrically inconsistent reactions from filling gaps, by using the scalable approach for approximate cardinality maximization used within fastcore, to compute a maximal set of metabolites in U that are involved in reactions that conserve mass.
A method for constructing a maximal set of independent reactions is presented.
A construction that meets a maximal set of security properties will provide a concrete example, and a brief survey of the literature will conclude the chapter.
The main objective is to obtain policies that generate the maximal set of recurrent states, subject to convex constraints on the set of invariant probability mass functions.
And most countries still don't have anything like it: Here's what we want kids to know in eighth grade, so let's measure and track that, and make it clear what our minimal and maximal set of objectives are.
We show that a least restrictive eventuality controller does not exist and we propose a dynamic programming algorithm that determines the maximal set of initial states from which there exists a solution to the problem and specifies the controller.
A maximal set of facts contains all non-contingent facts (if any), and is never empty.
Such inferences are those that are warranted on the basis of a maximal set of defaults whose consistency condition is met both before and after their being triggered.
Call a structure description a maximal set of state descriptions, each of which can be obtained from another by some permutation of the individual names.
By Lemma 1, we are searching for the maximal set of concepts, so the disjunction of all similarities of the individual x is performed.
In the case of singular definite descriptions (like 'the dog') we are still denoting the maximal set of dogs in the domain of discourse (since in this case there is only one dog).
