Generating Functions in Engineering and the Applied Sciences, Rajan Chattamvelli , Ramalingam Shanmugam

Автор: Todinov, Michael
Название: Interpretation of algebraic inequalities
ISBN: 1032059176 ISBN-13(EAN): 9781032059174
Издательство: Taylor&Francis
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Цена: 11796 р.
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Описание: This book demonstrates how interpreting abstract inequalities can optimise engineering design processes, with applications in mechanical engineering, materials science, electrical engineering, reliability engineering and risk management.

Автор: Adcock, Ben Brugiapaglia, Simone Webster, Clayton G.
Название: Sparse polynomial approximation of high-dimensional functions
ISBN: 1611976871 ISBN-13(EAN): 9781611976878
Издательство: Eurospan
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Цена: 15952 р.
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Описание: Provides an in-depth treatment of sparse polynomial approximation methods. These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering.

Автор: Carlos A. Coelho; Barry C. Arnold
Название: Finite Form Representations for Meijer G and Fox H Functions
ISBN: 3030287890 ISBN-13(EAN): 9783030287894
Издательство: Springer
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Цена: 15305 р.
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Описание: This book depicts a wide range of situations in which there exist finite form representations for the Meijer G and the Fox H functions. Accordingly, it will be of interest to researchers and graduate students who, when implementing likelihood ratio tests in multivariate analysis, would like to know if there exists an explicit manageable finite form for the distribution of the test statistics. In these cases, both the exact quantiles and the exact p-values of the likelihood ratio tests can be computed quickly and efficiently.The test statistics in question range from common ones, such as those used to test e.g. the equality of means or the independence of blocks of variables in real or complex normally distributed random vectors; to far more elaborate tests on the structure of covariance matrices and equality of mean vectors. The book also provides computational modules in Mathematica®, MAXIMA and R, which allow readers to easily implement, plot and compute the distributions of any of these statistics, or any other statistics that fit into the general paradigm described here.