We propose Quick Robustness Estimation (QRE), a new framework and implementation for estimating the robustness of a network in sub-quadratic time, i.e., significantly faster than betweenness centrality, based on the combination of cheap-to-compute network metrics.
In this manuscript we lay out a maximum likelihood framework and an accessible software implementation for estimating an organism/gene specific evolutionary model and alignment scoring matrix, describe common techniques for validating the model and infer a model from a large collection of HIV-1 sequences.
For the specific implementation of estimating the rigid body transformation, the software library Eigen (Jacob and Guennebaud, 2017) has been utilized to easily handle matrices in source code as well as computing fast singular value decomposition using Jacobian SVD method.
American Public Transportation Association chief executive Paul Skoutelas told a recent Congressional hearing that full PTC implementation for commuter railroads "is estimated to be approximately $4 billion," a figure that does not include operating and maintenance costs of $80 million to $130 million annually.
Britain's Financial Services Authority has estimated that implementation for British insurers will cost £1.9 billion ($3 billion) upfront, and a further £200m a year for compliance.
We have proposed an original solution for estimating implementation effort that extends the concept of the cyclomatic complexity.
We would therefore like to remind the reader that this paper proposes a methodology for estimating implementation effort and the validation of the model concentrates on illustrating its usefulness.
The proposed flow for estimating the implementation effort is illustrated in Figure 1.
This paper outlines some experience obtained at University of Tasmania, Australia in the development and implementation of a visualisation tool for estimating impacts of demand response programs on loading of power transformers and transmission lines in electric grid.
The remainder of the paper is organised as follows: Section 2 gives an overview of the state-of-the-art methods for estimating the implementation effort both for software and hardware designs and indicates the need for further work for hardware design.
