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Several applications of our procedure are illustrated.
Extensive simulation studies of our procedure have shown promising results.
A result of our procedure is a reaction ranking suggesting knockout and overexpression candidates.
Finally we present Monte-Carlo simulations which give evidence for good numerical performance of our procedure.
A few examples to illustrate the key ideas and practical use of our procedure have been provided.
The most important feature of our procedure is a rigorous discretization of variational derivatives using summation by parts, which implies that the inherited properties are satisfied exactly.
We also consider the use of our procedure in evaluating the progress of a front-constructing algorithm, and illustrate our work with two examples from the literature.
We show that the computational cost of our procedure is independent of the number of monitoring dates and the error decays exponentially with the number of grid points.
The solutions are illustrated by solving the same examples from Abad's paper to illustrate the accuracy and completeness of our procedure.
The relevance of our procedure is demonstrated by application of our implementation to various examples from the literature, where it significantly improves the quality of the results.
The detection ability of our procedure is evaluated in a Monte Carlo simulation study for various types of deviations from the EPA hypothesis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com