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The conflicting objectives together with nonlinear constraints and large numbers of variables make such problems difficult to solve with conventional methods.
This framework may be particularly useful in public cloud platforms where it can be offered as a Software-as-a-Service (SaaS) in which the QoD requirements are defined according to certain budgets; i.e., small budgets would have stricter QoD constraints, and large budgets looser QoD constraints.
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Some modern floorplanning issues such as soft modules, fixed-outline constraints, and large-scale designs are also addressed.
Real-time constraints assurance and large networks management are some of the main problems.
The system has strong physical constraints and a large state space.
Field scale rate optimization problems, however, involve highly complex reservoir models, production and facilities constraints and a large number of unknowns, making them inaccessible for routine waterflood management.
In [6 9], the minimum-length scheduling problem is also formulated as a complex linear program, with a relatively small number of constraints and a large number of variables.
In this way, the minimum-length scheduling problem becomes a linear program with a relatively small number of constraints and a large number of variables as in the formulations of [5], [6], and [7].
In this study we used NJ as an approximation to phylogenetic analysis due to computational constraints and the large number of replications undertaken.
The results from these techniques are limited by sample preparation constraints and a large area (or number) of an intact plant part cannot be studied.
The inclusion of second-order and interaction terms in the item-based regressions was not practical given degrees of freedom constraints and the large number of first-order terms.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com