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The proposed method uses constraint nonlinear optimization to minimize the NLOS error.
Uses constraint solving and a set of specific algorithms as test generation method.
CLS uses constraint information from labeled data to help construct the local structure, represented by a matrix with elements N ij.
The difference is that CCLS uses constraint information generated from a small amount of labeled data to compensate for the construction of local structure and global structure instead of unsupervised construction.
The MC-Fold/MC-Sym pipeline uses constraint satisfaction algorithms to build full atomic models of structures (Major et al., 1993; Parisien and Major, 2008).
Following our work, Garcia-Martin et al. (2013) proposed RNAiFOLD, an alternate methodology that uses constraint programming techniques to prune the mutational landscape.
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We present the design and implementation of Etch, an enhanced type checker for Promela, which uses constraint-based type inference to perform strong type checking of Promela specifications, allowing static detection of errors that Spin would not detect until simulation/verification time, or that Spin may miss completely.
Rather than enumerating all the states of a set, a symbolic representation uses constraints identifying all states in the set.
Therefore, μ2 can be determined iteratively, using constraint.
Wright et al. [11] use constraint optimization engine with two-phase constraint-based discovery approach.
We formulate interface matching as a constraint satisfaction problem and use constraint programming to solve it.
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