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We present a heuristic approach to reduce the complexity of the problem and present a study based on varying several network parameters to understand their impacts on the protection capacity and the overall network cost.
The HLA supertype concept proposed by Sette and co-workers [4] suggested an approach to reduce the complexity of the polymorphism of the HLA.
An alternative approach to reduce the complexity of a genome is the use of restriction enzymes.
The successful realization of the mRNA degradation dynamics indicates that the proposed method is a promising approach to reduce the complexity of biological systems.
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Many approaches to reduce the complexity of regulatory networks have been proposed [5].
A key focus of this approach is to reduce the complexity of an undertaking before starting it, and scale with an evolutionary rather than revolutionary approach.
A lumped approach is used to reduce the complexity of the overall scheme in terms of species and reactions.
Specifically, novel bioinformatic approaches were developed to reduce the complexity of sequence contigs and ultimately to identify SNPs within specific sub-genomes.
Different approaches are used to reduce the complexity of samples such as the electrophoresis-based [27 29] and chromatography-based workflows [30 32].
Different approaches have been followed to reduce the complexity of LDPC decoding.
On top of that, our approach includes a mesh simplification technique to reduce the complexity of the resulting models.
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