Mathematical Methods in Applied Sciences

• Main Author: Rodino, Luigi (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: scattered data interpolation; visualization; population balance equation; convex combination; Chebyshev points; athletes' condition; cubic timmer triangular patches; goal programming; scheduling; neurogenesis; parameter estimation; Laplacian matrix; cytokines; voltage profile; constraint programming; admittance matrix; eigenvalue stability analysis; approximation; power flow; shift schedule; assignment; spectral collocation method; chemokines; cubic Bezier triangular patches; system of ordinary differential equations; labor; least squares method; numerical solution; state hospital; crystallization; operating room scheduling; personnel; cubic ball triangular patches
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.