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In this study, we propose a method based on linear constraints for finding a connection between the patches during isogeometric analysis.
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This truncation, described in Section " Tropical equilibrations and model reductions" coupled with the proposed constraint-based method for finding equilibrations therefore provides an automatic way to reduce models and to identify fast/slow variables.
Synack works closely with organizations to create a listing that best fits their budgetary constraints and technical requirements for finding vulnerabilities.
The generalized logical approach has been combined with formal verification methods [ 16], and constraint programming was used for finding steady states of large networks [ 28].
By exploiting the inherent structure of the nonlinear QoS constraints, we develop linearization techniques for finding an optimal solution.
Specifically, by relaxing the power range constraints and using similar steps for finding high-quality solutions for ( B F − I P ), we can develop a two-hop interference pricing power control algorithm for determining p X.
An equivalent representation of this pilot power constraint that will be useful for finding T ~ ( opt ) is as follows: trace ( T ~ k H T ~ k ) = P t / K, (D.3a) trace ( T ~ H T ~ ) = ( L + 1 ) P t. (D.3b).
We also present a framework for finding the appropriate constraints, although our current classifier probably can be still significantly improved.
In this article, we describe five algorithms for finding leximin-optimal solutions using constraint programming.
They treated the problem as an optimization problem with multi-constraints and introduced an algorithm, the "Reserving Place Algorithm", for finding all optimal intervention strategies.
We use the SHAKE methodology familiar in constrained molecular dynamics as an efficient method for finding the non-thermodynamic pressure satisfying the constraints.
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