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The DCROS algorithm finds a set of disjoint lightpaths for a given objective function.
For a given objective of interest, experimental data used to fit the cybernetic model parameters should be maximally informative.
In the current work, we present a genetic algorithm optimization-based design tool for discovering very large-scale integration of discrete microfluidic networks for a given objective function.
It is based on statistical physics methodology and passes probabilistic messages locally to find the approximate global optimal solution for a given objective function.
Up to now the attempts for automating image analysis procedures have consisted of the development of pieces of software specifically designed for a given objective.
The consistency of the shapes and weights of the recovered projectiles will also be briefly addressed to assist the researcher in choosing the most useful recovery method for a given objective.
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In this framework, model checking can be used to compute, for example, the minimum battery capacity necessary for achieving a given objective, or the maximal achievable lifetime of a system with a given initial battery capacity.
The aim of [12 14] is to maximize a given objective function, for example signal-to-noise ratio (SNR), mutual information (MI), or system capacity, subjecting to the power constraints of the whole network or/and at each node.
Alternative approaches for inferring evolutionary models from the phylogenies, such as the phylogenetic profiling approaches of Csűrös (2010), may also provide more accurate and detailed parameter inferences for any given objective function and phylogeny inference algorithm.
For a selected set of fluxes, their values in a prior optimization for the given objective are retrieved.
There are many possible avenues for improvement in the methods, either to more closely approach true optima for the given objective function or to develop novel objectives describing more realistic and detailed models of tumor evolution mechanisms without sacrificing efficiency.
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for a given surface
for a fixed objective
for a given amount
for a given mapping
for a given value
for a given model
for a given adjacency
for a given tree
for a given matrix
for a given problem
for a given project
for a given committee
for a given well
for a given diagnosis
for a given group
for a given k
for a given configuration
for a given smoothness
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