Titlebook: High Performance Computing in Science and Engineering; Third International Tomáš Kozubek,Martin Čermák,Jiří Jaroš Conference proceedings 2

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Ondrej Vysocky,Martin Beseda,Lubomír Říha,Jan Zapletal,Michael Lysaght,Venkatesh Kannanp of R mosaic and the concept of minimal R, we were able to include all this in an introductory statistics course for people studying while working a business-related major. Moreover, this also paves the road towards methods and concepts like data wrangling or algorithmic modelling, more related to data science than to classical statistics.

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Fourier Method for Approximating Eigenvalues of Indefinite Stekloff Operator,em with Fast Fourier Transform (FFT) based on carefully designed extensions and restrictions operators. The proposed Fourier method, combined with proper eigensolver, results in an efficient and easy approach for computing the Stekloff eigenvalues.

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Yangqingxiang Wu,Ludmil Zikatanov of earnings forecasts evidence the reliance by investors upon earnings expectations for purposes of portfolio management.1 Analytical research in finance has established the relevance of earnings to security valuation, and empirical research has shown that shifts in earnings expectations are associ

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Zdeněk Dostál,Gerardo Toraldo,Marco Viola,Oldřich Vlachn historical price and return data. Afterwards, we turn to predictors based on other sources of information. We concentrate on stock return volatility. The methods discussed are, however, equally valid for other assets. Although all predictors are discussed in isolation, it is important that a combi

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Radim Blaheta,Tomáš Luber,Jakub Kružíko numerous engineering problems. The general perception of the BEM is that it is inherently more efficient because it is a boundary, instead of a domain, scheme. It is also probably more accurate because Green’s function, which is admissible to the governing equation, is used as weighing functions.

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