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On the selection of ınterpolation points for rational Krylov Methods
(Springer-Verlag Berlin, 2012)
We suggest a simple and an efficient way of selecting a suitable set of interpolation points for the well-known rational Krylov based model order reduction techniques. To do this some sampling points from the frequency ...
Applications of Eigenvalue Counting and Inclusion Theorems in Model Order Reduction
(Springer-Verlag Berlin, 2010)
We suggest a simple and an efficient iterative method based on both the Gerschgorin eigenvalue inclusion theorem and the deflation methods to compute a Reduced Order Model (ROM) to lower greatly the order of a given state ...
Case Study 8: IGaranti: Expanding the Frontiers of Mobile Banking Innovation
(Springer International Publishing, 2016)
iGaranti have claimed many awards and recognitions in addition to the wide press coverage. Two years into its launch iGaranti counted for an active user base of 110 k. However the spread of its reach was only about 2?% of ...
Feature Extraction Based on Deep Learning for Some Traditional Machine Learning Methods
(Institute of Electrical and Electronics Engineers Inc., 2018)
Deep learning is a subfield of machine learning and deep neural architectures can extract high level features automatically without handcraft feature engineering unlike traditional machine learning algorithms. In this ...