exhaustive object detection.
To achieve this objective, exhaustive literature review on design iteration was done for four sectors – construction, manufacturing, aerospace, and software development.
Since both methods involve exhaustive search of objective functions, the computational process to search for an optimal map is very time consuming.
This list is by no means exhaustive and far from objective.
In addition, they both generate mutually exclusive and exhaustive classes, use an objective technique to determine the number of classes (Bayesian Information Criterion for LCA or Schwartz Bayesian criteria for TwoStep Clustering), and work with categorical and continuous variables.
the average normalized weighted sum-rate deviation, where is the optimal weighted sum-rate value obtained using optimal exhaustive search, is the estimated objective value from either the APD algorithm or the WSRMax algorithm, and expectation is taken w.r.t.
As represented in Eq. (14), the number of operations of the objective function in exhaustive algorithm (S_{text {eh}}^{2}) is equal to the number of possible clustering formations, which is given as follows.
As our objective was the exhaustive characterization of flexible genome plasticity and identification of as many HGT and rearrangement events as possible, we chose to work on the largest comparison set, the Entero set.
They generate mutually exclusive and exhaustive classes; and use an objective method to determine the number of classes (the Bayesian Information Criterion for LCA or the Schwarz Bayesian criterion for two-step clustering); they work with categorical and continuous variables.
The first is the Computational Titration algorithm [10] which uses a lightweight forcefield with the concept of "hydropathic interactions" as its objective function and an exhaustive enumeration for optimization.
The approach allows for a more exhaustive and efficient exploration of the objective function manifold to find good parameter fits.
