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Our proposed enhanced sequential limit analysis is formulated as an instance of the challenging class of optimization problems known as a mathematical program with equilibrium constraints (MPEC).
The problem is formulated as an instance of ILP and solved using IBM CPLEX optimization software.
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More precisely, in the opening of the section we introduce formally the string barcoding problems studied and also point out that every SBC instance (either constrained or unconstrained) can be formulated as an MTC instance, which directly implies set-cover-like approximability results for SBC.
Subsequently, we present a data-driven approach to model individual objects, which is particularly formulated as a model instance recognition problem.
Each instance was formulated as an ILP (integer linear program) as described in Nöllenburg et al. (2009) and then solved using lpSolve (freely available from lpsolve.sourceforge.net/5.5/).net/5.5/
This risk function is formulated as an expected loss of classifying a test instance as a particular class thus we want to minimize the risk function as to have a higher probability of correct classification.
For example, we can pool all training instances in a dictionary (hence k = n and A = D ), and then learn the non-negative coefficient vectors of a new instance, which is formulated as an one-sided model: (17) min x 1 2 b - A x 2 2 s. t. x ≥ 0. We called this model the non-negative least squares (NNLS) sparse coding.
The concierge model is formulated as an expert/amateur relationship.
The concierge model is instead formulated as an expert/amateur relationship.
The pill was originally formulated as an anti-depressant.
Apixaban is formulated as an immediate-release tablet.
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