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The method requires only minimal conceptual bases for application and moderate computational effort.
The approach leads to a versatile methodology with a moderate computational effort that can be applied to mufflers commonly found in real applications.
The former gives rise to a nonlinear programming problem with complementarity constraints (NPCC), which is reformulated as a mixed integer linear program, thereby the global optimal solution can be found with moderate computational effort.
The electromagnetic behaviour of the sensor can be accurately modelled by a 2D model based on the finite element method (FEM) resulting in a moderate computational effort for image reconstruction.
Therefore, in the case of changes in the data, the function can be recomputed in an incremental way, with a moderate computational effort; this aspect together with the advantages of running on parallel/distributed architectures makes the algorithm suitable to operate with the real time constraints typical of a cyber security problem.
For small datasets (a few hundred proteins) it is possible to solve the problem to optimality with moderate computational effort using commercial or free solvers.
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The well-known Support Vector Machines Recursive Feature Elimination (SVM-RFE) algorithm provides good performance with moderate computational efforts, in particular for wide datasets.
Here we describe how the performance of warping can be substantially improved by extending the method from one- to two-dimensional images, with only a moderate increase in the computational effort.
Further, the performances of the proposed Bayesian procedures are analysed on the basis of simulation studies, showing that they can largely outperform the conventional ones at the expense of a moderate increase of the computational effort.
In addition, the computational effort for the computation of the solution vector is rather high.
Predefined reaction rates and diffusion constants keep the computational effort down to a very moderate level but are at the same time an assumption in the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com