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For decades Bounty, a data-marketing company, has been buying access to NHS maternity wards, where its representatives (often paid on a commission-only basis) approach new mothers and ask them for their personal details.
An efficient approximation is obtained by the reduced basis approach.
This paper presents a stochastic reduced basis approach for predicting the forced response statistics of mistuned bladed-disk assemblies.
The paper considers the problem of updating an analytical model from experimental data using the reference basis approach.
We propose a functional basis approach that is specifically designed to represent the dMRI signal in this qτ-space.
Here a new method, the minimal polynomial basis approach, for design of residual generators for linear systems, is presented.
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Eager, driven and tremendously hardworking, he mastered the Harvard Business School method of literally looking at the world on a case-by-case basis, approaching each problem completely on its own terms and making recommendations based on data.
The experimental results show that our proposed methods preserve the advantages and alleviate the disadvantages of their basis approaches, offering significantly improved performance over the original methods.
Characterization of both methods showed that they have different but complementary features, so if a hybrid system can be designed to include features of both NCL and ME, it may be better than each of its basis approaches.
Such a percentage-basis approach makes it possible to apply the cost structures to the specific investment costs, which are drawn from the current literature (market analyses, evaluation reports, etc).
A reduced-basis approach is developed as a forward solver for heat transfer analysis in order to significantly reduce the computational complexity in each forward analysis, which is crucial for the inverse analysis of complex systems.
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