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Individual constraints

Constraint Test In this test, each individual constraint is tested based on the measurements. The test statistic is... [Pg.2571]

Fig. 2.5 Schematic illustration of the effect of constraint combination in the case of two distance constraints, a correct one connecting atoms A and B, and a wrong one between atoms C and D. A structure calculation that uses these two constraints as individual constraints that have to... Fig. 2.5 Schematic illustration of the effect of constraint combination in the case of two distance constraints, a correct one connecting atoms A and B, and a wrong one between atoms C and D. A structure calculation that uses these two constraints as individual constraints that have to...
If all candidates are rejected, an analysis of the constraints must be done. Constraints may be too tight or in conflict with one another. Constraints which are too tight can be easily identified by examining the result of applying the individual constraint. Conflicting physical property constraints can be difficult to identify because of the interrelationships between physical properties. A standard technique in statistical analysis to find such interrelationships is to create plots of all pairs of variables. [Pg.283]

A potential answer to Stewart and Vogt s questions will be presented, but two other challenges are noteworthy. A second issue is that the choice models typically represent an individual s choice process. Arguably the role of other people is implicated in the individual constraints section, but the notion of shared, joint or social decision making is not fully developed in the existing literature. Nevertheless there is research suggesting that, at least in Western countries, the family vacation decision is most often the result of a joint decision-making process (Fodness, 1992) or at least one with multiple family influences (Lee Beatty, 2002 Zalatan, 1998). [Pg.109]

Vi(i = 0) is selected based on the sign of gradients of individual constraints with respect to v. Positive sign indicates that the parameter would maximize that particular constraint at its upper limit if the constraint is monotonic. [Pg.310]

Schema evolution primitives in the SQL language and in commercial DBMS are atomic in nature. Unless there is a proprietary extension to the language, each statement describes a simple change to a schema. For instance, individual tables may be added or dropped, individual columns may be added or dropped from a table, and individual constraints may be added or dropped. Additionally, individual properties of a single object may be changed so, one can rename a column, table, or constraint one can change individual properties of columns, such as their maximum length or precision and one can change the data type of a column under the condition that the conversion of data from the old type to the new type can be done implicitly. Schema evolution primitives in the SQL language and in commercial DBMS are atomic in nature. Unless there is a proprietary extension to the language, each statement describes a simple change to a schema. For instance, individual tables may be added or dropped, individual columns may be added or dropped from a table, and individual constraints may be added or dropped. Additionally, individual properties of a single object may be changed so, one can rename a column, table, or constraint one can change individual properties of columns, such as their maximum length or precision and one can change the data type of a column under the condition that the conversion of data from the old type to the new type can be done implicitly.
Integration with a legacy system imposes its own individual constraints, since each software program requires data input of a certain batch size for functional or performance reasons. A workflow management system has to be adaptable to pass data to a legacy system in whatever volume or format that it expects. [Pg.429]

We consider here only absolute constraints, where the upper and lower limits are constant percentages or fractions and do not depend in any way on the levels of the other components. The limits are therefore parallel to the 0% boundary. However limits may also be relative, defined in terms of ratios to the amount of one or more of the other components (see section HI and chapter 10). Also, in this section we consider only those cases where individual constraints result in a domain that remains a simplex, though reduced in extent. [Pg.389]

There must be at least two major components, at least one of them with two or more minor components, for the method to be applicable, or the domain becomes that given by the individual constraints. [Pg.451]

A typical example is one of a matrix tablet, containing a mixture of 2 polymers (X Xj) and 2 diluents (Xj, X4). The total proportion of polymer is allowed to vary between 10% and 50%. The total level of diluents varies q. s. The shape of the domain is quite different from that of the previous examples, where there were only individual constraints. [Pg.451]

There exists, however, a simpler iterative solution of equations (9.25) that is based on local solutions for the individual constraints. A given constraint is considered out of the... [Pg.199]

Deindividuation. Often diffusion of responsibility is accompanied by deindividuation (Postmes and Spears, 1998)—people lose their sense of self-awareness and individuality within the team context. As with group polarization, this can be positive or negative, depending on the values and principles of the group. When team members compromise to achieve goals consistent with the organization s purpose and mission statement, the effects of deindividuation are likely to be beneficial. On the other hand, deindividuation can lead to abandoning fundamental individual constraints and to less careful or less safe decisions and behaviors. [Pg.391]


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See also in sourсe #XX -- [ Pg.293 ]




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