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Unlike Gentner, they acknowledge two additional types of constraints.
Note that the problem (4) has two types of constraints.
Several types of constraints and costs are considered.
We show that learners have difficulty avoiding some specific types of constraints.
We first derive a probabilistic framework that allows AAM fitting under arbitrary types of constraints.
In practice, the OPF problem has two types of constraints, i.e., the equality and inequality constraints.
We have taken several types of constraints into account to obtain a reasonably realistic setting.
There are different types of heuristics, which correspond to the different types of constraints.
Two types of constraints including limitations on rotations and eccentricity are imposed.
Procedures are discussed to treat these types of constraints in derivative-based optimization algorithms.
Several types of constraints (theoretical, computational, and empirical) have contributed to its design.
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