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These finite state network abstractions are then processed with efficient algorithms that use formal analytic methods from theoretical computer science to assess network vulnerability.
A narrative synthesis is presented and, where appropriate, outcomes were synthesised using formal analytic approaches.
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In this paper, we investigate the possibility of incorporating formal analytics into workflow design, thus alleviating the intellectual challenge faced by business analysts when creating workflow models.
We then propose a vulnerability analysis methodology which combines these finite state abstractions with formal analytics from theoretical computer science to yield a comprehensive vulnerability analysis process for networks of real-world scale and complexity.
We then offer a methodology which combines these finite state models with formal analytics from theoretical computer science[8] to provide a comprehensive vulnerability analysis process for large-scale networks.
We identify an important class of complex networks which admit vulnerability-preserving, finite state abstractions, provide efficient algorithms for computing these abstractions, and offer a vulnerability analysis methodology that combines finite state network representations with formal analytics to enable rigorous vulnerability analysis for networks of real-world scale and complexity.
As far as we know, in general it is not easy to get explicit but non-formal analytic solutions of this system.
In Section 3, we recall some formal and analytic transformations such as the formal q-Borel transform of a positive order and the analytic q-Laplace transform of a positive order.
In the present section, we recall the definitions and main properties of some formal and analytic transforms.
In Section 4.3, we describe the properties of a variant of the formal and analytic acceleration operators associated to the (m_{k} -Borel and (m_{k} -Borelce trandform_{k} -Laplace
Also, the idea of concatenating formal and analytic q-analogs of Borel and Laplace operators in order to solve q-difference equations appears in [3].
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