Mathematical Methods, Modelling and Applications

This volume deals with novel high-quality research results of a wide class of mathematical models with applications in engineering, nature, and social sciences. Analytical and numeric, deterministic and uncertain dimensions are treated. Complex and multidisciplinary models are treated, including nov...

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Other Authors: Jódar, Lucas (Editor), Company, Rafael (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
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DOAB: description of the publication
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520 |a This volume deals with novel high-quality research results of a wide class of mathematical models with applications in engineering, nature, and social sciences. Analytical and numeric, deterministic and uncertain dimensions are treated. Complex and multidisciplinary models are treated, including novel techniques of obtaining observation data and pattern recognition. Among the examples of treated problems, we encounter problems in engineering, social sciences, physics, biology, and health sciences. The novelty arises with respect to the mathematical treatment of the problem. Mathematical models are built, some of them under a deterministic approach, and other ones taking into account the uncertainty of the data, deriving random models. Several resulting mathematical representations of the models are shown as equations and systems of equations of different types: difference equations, ordinary differential equations, partial differential equations, integral equations, and algebraic equations. Across the chapters of the book, a wide class of approaches can be found to solve the displayed mathematical models, from analytical to numeric techniques, such as finite difference schemes, finite volume methods, iteration schemes, and numerical integration methods. 
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546 |a English 
650 7 |a Research & information: general  |2 bicssc 
650 7 |a Mathematics & science  |2 bicssc 
653 |a mathematical modeling 
653 |a infiltration well 
653 |a differential equations 
653 |a porous medium 
653 |a fractal conductivity model 
653 |a incomplete rankings 
653 |a Kendall's tau 
653 |a permutation graph 
653 |a competitive balance 
653 |a Spotify 
653 |a collocation 
653 |a volterra integral equation 
653 |a highly oscillatory 
653 |a convergence 
653 |a areal porosity 
653 |a volumetric porosity 
653 |a fractal area-volume relationship 
653 |a tortuosity factor 
653 |a joint probability 
653 |a corrugated box printing machine 
653 |a modified Delphi method 
653 |a analytic network process (ANP) 
653 |a supplier 
653 |a nonlinear system 
653 |a iterative method 
653 |a divided difference operator 
653 |a stability 
653 |a parameter plane 
653 |a dynamical plane 
653 |a random hyperbolic model 
653 |a random laplace transform 
653 |a numerical integration 
653 |a monte carlo method 
653 |a numerical simulation 
653 |a talbot algorithm 
653 |a stochastic perturbations 
653 |a random nonlinear oscillator 
653 |a maximum entropy principle 
653 |a probability density function 
653 |a stationary Gaussian noise 
653 |a random mean square parabolic model 
653 |a finite degree of randomness 
653 |a random finite difference scheme 
653 |a relativistic harmonic oscillator 
653 |a kinematics of a particle 
653 |a special relativity 
653 |a nonlinear problems in mechanics 
653 |a equations of motion in gravitational theory 
653 |a virus propagation 
653 |a stochastic modeling 
653 |a Gillespie algorithm 
653 |a conservative formulation 
653 |a multidimensional fragmentation equation 
653 |a weight functions 
653 |a finite volume scheme 
653 |a contamination plume 
653 |a advection-diffusion 
653 |a universal curves 
653 |a Dirichlet-to-Neumann map 
653 |a Schrödinger operator 
653 |a contagion effect 
653 |a difference equation 
653 |a elections 
653 |a labor condition 
653 |a mathematical compartmental discrete model 
653 |a political corruption 
653 |a revolving doors 
653 |a sensitivity analysis 
653 |a simulation 
653 |a numerical methods 
653 |a integro-interpolation method 
653 |a splitting method 
653 |a convergence of models 
653 |a standard deviation of the error 
653 |a diabetic retinopathy 
653 |a ocular fundus 
653 |a laser coagulation 
653 |a optical coherence tomography 
653 |a image processing 
653 |a segmentation 
653 |a safe treatment 
653 |a Hermite interpolation 
653 |a nodal systems 
653 |a unit circle 
653 |a circular membrane 
653 |a fluid-structure interaction 
653 |a differential-integral equations 
653 |a power series method 
653 |a closed-form solution 
653 |a time series model 
653 |a wavelet transform 
653 |a ARIMA model 
653 |a neural network NARX 
653 |a ionospheric parameters 
653 |a courtyard 
653 |a climate change 
653 |a microclimate 
653 |a Support Vector Regression (SVR) 
653 |a machine learning 
653 |a matrix functions 
653 |a matrix hyperbolic tangent 
653 |a matrix exponential 
653 |a Taylor series 
653 |a matrix polynomial evaluation 
653 |a n/a 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/5646  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/87458  |7 0  |z DOAB: description of the publication