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This paper presents the information constraint net (ICN) to represent the complex information constraint relations among design activities involved in the building design process.
The information constraint in each input channel is modelled as a sector uncertainty.
Here, (varepsilon^{2}) is the positive regularization parameter, which is used to characterize the weight of the prior information constraint in the proposed algorithm.
In the multi-input case, if the information constraint in each input channel is given a priori, then our stabilization problem turns out to be a so-called µ synthesis problem, a notoriously hard problem.
Let l u(i) be the current load of u(i), where u(i) denotes the user holding task i. Next, according to the weak local information constraint, the user u(i) would randomly choose a neighbor k to compare its task load.
As our chemical data indicate, eggs laid by workers are very similar to eggs laid by incipient queens in the composition of their surface hydrocarbons, which may be an information constraint or provide insufficient information for a sufficiently large number of correct decisions.
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Ever the policy buffs, we know we are unable to scientifically appraise different options, and so, given the information constraints, we stick with the evil we know".
Taking political and information constraints as given, this article characterizes a social-welfare maximizing policy.
Regulated tuition fees have more potential to induce socially optimal outcomes than regulating levels of education given information constraints.
An algorithm is developed to transform the information constraints throughout the ICN into a Petri net model.
In general the larger the number of COSY and HMBC connectivities the more structural information (constraints) is extracted from the spectra.
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