Computational Problems in Science and Engineering

Author:   Nikos Mastorakis ,  Aida Bulucea ,  George Tsekouras
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   343
ISBN:  

9783319364254


Pages:   491
Publication Date:   23 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Computational Problems in Science and Engineering


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Overview

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.

Full Product Details

Author:   Nikos Mastorakis ,  Aida Bulucea ,  George Tsekouras
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   343
Weight:   7.489kg
ISBN:  

9783319364254


ISBN 10:   3319364251
Pages:   491
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

Table of Contents

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.

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