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Furthermore, since the Lagrange model has generally been exploited as the main technique in dynamical spectrum allocation optimization for non convex problems with various complicated constraints, the complexity of constraints determines the convergence speed as well as the design difficulty of the optimization algorithm.
However, the complexity of constraints faced by disadvantaged groups necessitate that CVD prevention policies address multiple levels (8, 23).
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Hypergraph width measures are important in studying the complexity of constraint satisfaction problems (CSPs).
Over the past few years there has been considerable progress in methods to systematically analyse the complexity of constraint satisfaction problems with specified constraint types.
The major result supported by our investigations is that the parallel complexity of constraint networks is critically dependent on subtle properties of the network that do not influence its sequential complexity.
On the other hand, graph-theoretical approaches avoid the computational complexity of constraint-based methods by solving a simpler problem of finding shortest paths.
The problem is extremely challenging due to the complexity of the constraints and the scale of real-world applications.
Since the complexity of such constraints and the switching instants is unknown, it is difficult to solve the problem by standard optimization techniques.
Kim et al. ([1996]) found the range and complexity of the constraints limits the possibility of automatic pipe route design, and demonstrated a more natural and effective representation for route optimization (Kim et al. [1996]).
The complexity of the constraints on tooth morphology is not well understood.
Due to the complexity of top-down constraints and local interactions, Guangzhou exhibits a more complex, dynamic, multidimensional configuration of urban sprawl that is different from other cities in China.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com