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Computational Problems in Science and Engineering
Kategorie	Beschreibung
036a	XA-DE‡XA-CH
037b	eng
087q	978-3-319-15764-1
100b	Mastorakis, Nikos ¬[Hrsg.]¬
104b	Bulucea, Aida ¬[Hrsg.]¬
108b	Tsekouras, George ¬[Hrsg.]¬
331	Computational Problems in Science and Engineering
403	1st ed. 2015
410	Cham
412	Springer
425	2015
425a	2015
433	Online-Ressource (VII, 491 p. 215 illus., 90 illus. in color, online resource)
451	Lecture Notes in Electrical Engineering ; 343
501	Description based upon print version of record
517	Part IGeneralized fuzzy measurability -- Short Term Load Forecasting in Electric Power Systems with Artificial Neural Networks -- Analysis of Non-Linear Vibrations of a Fractionally Damped Cylindrical Shell under the Conditions of Combinational Internal Resonance -- Schwartz-Christoffel Panel Method Improvements and Applications -- Mining Latent Attributes in Neighborhood for Recommender Systems -- An Assessment of The Effect of Varying Popov’s Parameter on The Region of Robust Absolute Stability of Nonlinear Impulsive Control Systems with Parametric Uncertainty.
527	Druckausg.ISBN: 978-3-319-15764-1
540a	ISBN 978-3-319-15765-8
700	\|TJFC
700	\|TEC008010
700	\|*65-06
700	\|65Z05
700	\|00A69
700	\|00B15
700b	\|621.3815
700c	\|TK7888.4
750	Part I -- Generalized fuzzy measurability -- Short Term Load Forecasting in Electric Power Systems with Artificial Neural Networks -- Analysis of Non-Linear Vibrations of a Fractionally Damped Cylindrical Shell under the Conditions of Combinational Internal Resonance -- Schwartz-Christoffel Panel Method Improvements and Applications -- Mining Latent Attributes in Neighborhood for Recommender Systems -- An Assessment of The Effect of Varying Popov’s Parameter on The Region of Robust Absolute Stability of Nonlinear Impulsive Control Systems with Parametric Uncertainty.
753	This book provides readers with modern computational techniques for solving variety of problems from electrical, mechanical, civil and chemical engineering. Mathematical methods are presented in a unified manner, so they can be applied consistently to problems in applied electromagnetics, strength of materials, fluid mechanics, heat and mass transfer, environmental engineering, biomedical engineering, signal processing, automatic control and more.
012	455195005
081	Computational Problems in Science and Engineering
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-319-15765-8