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Conditional constraints and properties are defined that generate policy-conflicts as prevalent in the policies.
Another novelty addresses conditional constraints between three or more geometric parts, rules for their simplification and a redundancy check.
An example of the conditional constraints is the hydrothermal unit on/off status being expressed as a function of the unit minimum up/down times.
A basic technique is developed for obtaining normal constraints, developed for the first time in this paper, by converting the conditional constraints into unconditional constraints.
This problem encompasses various types of flexibility aspects pertaining to part selection and operation assignments along with constraints ranging from simple algebraic to potentially very complex conditional constraints.
For this problem we need to extend traditional constraint-based scheduling techniques in two directions: (i) compute the probability of sets of scenarios in polynomial time, in order to get the expected value of the objective function; (ii) define conditional constraints that ensure feasibility in all scenarios.
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For some conditional constraint, we give a conditional local diagnosis algorithm for a (2t−1)∗-diagnosable network.
While the difference from the updated scheme lies in the dimension reduction of Karhunen-Loeve expansion through introducing random functions as a conditional constraint upon uncorrelated random variables.
In fact it is strictly related to maximum likelihood estimation of bilateral AR-type representations of acausal signals subject to certain conditional independence constraints.
The primary focus of this article is the provision of tests for the validity of a set of conditional moment constraints additional to those defining the maintained hypothesis that are relevant for independent cross-sectional data contexts.
For this, it is necessary to impose conditional independence constraints on the distribution of the multivariate response.
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