Mathematical Methods in Applied Sciences

This book includes the seven papers that contributed to the Special Issue of Mathematics entitled "Mathematical Methods in Applied Sciences". The papers are authored by eminent specialists and aim at presenting to a broad audience some mathematical models which appear in different aspects...

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Bibliographic Details
Main Author: Rodino, Luigi
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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653 |a scattered data interpolation 
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653 |a admittance matrix 
653 |a cytokines 
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653 |a spectral collocation method 
653 |a eigenvalue stability analysis 
653 |a power flow 
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653 |a state hospital 
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653 |a parameter estimation 
653 |a least squares method 
653 |a system of ordinary differential equations 
653 |a Laplacian matrix 
653 |a Chebyshev points 
653 |a labor 
653 |a cubic timmer triangular patches 
653 |a visualization 
653 |a goal programming 
653 |a athletes' condition 
653 |a shift schedule 
653 |a neurogenesis 
653 |a voltage profile 
653 |a chemokines 
653 |a population balance equation 
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520 |a This book includes the seven papers that contributed to the Special Issue of Mathematics entitled "Mathematical Methods in Applied Sciences". The papers are authored by eminent specialists and aim at presenting to a broad audience some mathematical models which appear in different aspects of modern life. New results in Computational Mathematics are given as well. Emphasis is on Medicine and Public Health, in relation also with Social Sciences. The models in this collection apply in particular to the study of brain cells during a stroke, training management efficiency for elite athletes, and optimal surgical operation scheduling. Other models concern Industry and Economy, as well as Biology and Chemistry. Numerical Methods are represented in particular by scattered data interpolation, spectral collocation, and the use of eigenvalues and eigenvectors of the Laplacian matrix. This book will appeal to scientists, teachers, and graduate students in Mathematics, in particular Numerical Analysis, and will be of interest for scholars in Applied Sciences, particularly in Medicine and Public Health.