A Closer Look at the Diffusion Equation

A Closer Look at the Diffusion Equation PDF

Author: Jordan Hristov

Publisher: Nova Science Publishers

Published: 2020-10

Total Pages: 189

ISBN-13: 9781536184884

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Diffusion is a principle transport mechanism emerging widely at different scale, from nano to micro and macro levels. This is a contributed book of seventh chapters encompassing local and no-local diffusion phenomena modelled with integer-order (local) and non-local operators. This book collates research results developed by scientists from different countries but with common research interest in modelling of diffusion problems. The results reported encompass diffusion problems related to efficient numerical modelling, hypersonic flows, approximate analytical solutions of solvent diffusion in polymers and wetting of soils. Some chapters are devoted to fractional diffusion problem with operators with singular and non-singular memory kernels. The book content cannot present the entire rich area of problems related to modelling of diffusion phenomena but allow seeing some new trends and approaches in the modelling technologies. In this context, the fractional models with singular and non-singular kernels the numerical methods and the development of the integration techniques related to the integral-balance approach form fresh fluxes of ideas to this classical engineering area of research.The book is oriented to researchers; master and PhD students involved in diffusion problems with a variety of application and could serves as a rich reference source and a collection of texts provoking new ideas.

A Closer Look of Nonlinear Reaction-Diffusion Equations

A Closer Look of Nonlinear Reaction-Diffusion Equations PDF

Author: Lakshmanan Rajendran

Publisher: Nova Science Publishers

Published: 2020-10

Total Pages: 207

ISBN-13: 9781536183566

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By using mathematical models to describe the physical, biological or chemical phenomena, one of the most common results is either a differential equation or a system of differential equations, together with the correct boundary and initial conditions. The determination and interpretation of their solution are at the base of applied mathematics. Hence the analytical and numerical study of the differential equation is very much essential for all theoretical and experimental researchers, and this book helps to develop skills in this area.Recently non-linear differential equations were widely used to model many of the interesting and relevant phenomena found in many fields of science and technology on a mathematical basis. This problem is to inspire them in various fields such as economics, medical biology, plasma physics, particle physics, differential geometry, engineering, signal processing, electrochemistry and materials science.This book contains seven chapters and practical applications to the problems of the real world. The first chapter is specifically for those with limited mathematical background. Chapter one presents the introduction of non-linear reaction-diffusion systems, various boundary conditions and examples. Real-life application of non-linear reaction-diffusion in different fields with some important non-linear equations is also discussed. In Chapter 2, mathematical preliminaries and various advanced methods of solving non-linear differential equations such as Homotopy perturbation method, variational iteration method, exponential function method etc. are described with examples.Steady and non-steady state reaction-diffusion equations in the plane sheet (chapter 3), cylinder (chapter 4) and spherical (chapter 5) are analyzed. The analytical results published by various researchers in referred journals during 2007-2020 have been addressed in these chapters 4 to 6, and this leads to conclusions and recommendations on what approaches to use on non-linear reaction-diffusion equations.Convection-diffusion problems arise very often in applied sciences and engineering. Non-linear convection-diffusion equations and corresponding analytical solutions in various fields of chemical sciences are discussed in chapter6. Numerical methods are used to provide approximate results for the non-linear problems, and their importance is felt when it is impossible or difficult to solve a given problem analytically. Chapter 7 identifies some of the numerical methods for finding solutions to non-linear differential equations.

Introduction to Nuclear Reactor Physics

Introduction to Nuclear Reactor Physics PDF

Author: Robert E. Masterson

Publisher: CRC Press

Published: 2017-11-22

Total Pages: 1481

ISBN-13: 1498751504

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INTRODUCTION TO NUCLEAR REACTOR PHYSICS is the most comprehensive, modern and readable textbook for this course/module. It explains reactors, fuel cycles, radioisotopes, radioactive materials, design, and operation. Chain reaction and fission reactor concepts are presented, plus advanced coverage including neutron diffusion theory. The diffusion equation, Fisk’s Law, and steady state/time-dependent reactor behavior. Numerical and analytical solutions are also covered. The text has full color illustrations throughout, and a wide range of student learning features.

Numerical Methods and Applications

Numerical Methods and Applications PDF

Author: Ivan Georgiev

Publisher: Springer Nature

Published: 2023-05-15

Total Pages: 365

ISBN-13: 3031324129

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This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Numerical Methods and Applications, NMA 2022, held in Borovets, Bulgaria, in August 2022.The 30 revised regular papers presented were carefully reviewed and selected from 38 submissions for inclusion in this book. The papers are organized in the following topical sections: numerical search and optimization; problem-driven numerical method: motivation and application, numerical methods for fractional diffusion problems; orthogonal polynomials and numerical quadratures; and Monte Carlo and Quasi-Monte Carlo methods.

The Mathematics of Diffusion

The Mathematics of Diffusion PDF

Author: John Crank

Publisher: Oxford University Press

Published: 1979

Total Pages: 428

ISBN-13: 9780198534112

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Though it incorporates much new material, this new edition preserves the general character of the book in providing a collection of solutions of the equations of diffusion and describing how these solutions may be obtained.

Finite Difference Computing with PDEs

Finite Difference Computing with PDEs PDF

Author: Hans Petter Langtangen

Publisher: Springer

Published: 2017-06-21

Total Pages: 522

ISBN-13: 3319554565

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This book is open access under a CC BY 4.0 license. This easy-to-read book introduces the basics of solving partial differential equations by means of finite difference methods. Unlike many of the traditional academic works on the topic, this book was written for practitioners. Accordingly, it especially addresses: the construction of finite difference schemes, formulation and implementation of algorithms, verification of implementations, analyses of physical behavior as implied by the numerical solutions, and how to apply the methods and software to solve problems in the fields of physics and biology.

Pattern Recognition

Pattern Recognition PDF

Author: DAGM (Organization). Symposium

Publisher: Springer Science & Business Media

Published: 2005-08-18

Total Pages: 526

ISBN-13: 3540287035

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This book constitutes the refereed proceedings of the 27th Symposium of the German Association for Pattern Recognition, DAGM 2005, held in Wien, Austria in August/September 2005. The 29 revised full papers and 31 revised poster papers presented together with 2 invited papers were carefully reviewed and selected from 122 submissions. The papers are organized in topical sections on color analysis, stereo vision, invited paper, segmentation and grouping, automatic speech understanding, 3D view registration and surface modeling, motion and tracking, computational learning, applications, and uncertainty and robustness.

Analysis and Geometry of Markov Diffusion Operators

Analysis and Geometry of Markov Diffusion Operators PDF

Author: Dominique Bakry

Publisher: Springer Science & Business Media

Published: 2013-11-18

Total Pages: 555

ISBN-13: 3319002279

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The present volume is an extensive monograph on the analytic and geometric aspects of Markov diffusion operators. It focuses on the geometric curvature properties of the underlying structure in order to study convergence to equilibrium, spectral bounds, functional inequalities such as Poincaré, Sobolev or logarithmic Sobolev inequalities, and various bounds on solutions of evolution equations. At the same time, it covers a large class of evolution and partial differential equations. The book is intended to serve as an introduction to the subject and to be accessible for beginning and advanced scientists and non-specialists. Simultaneously, it covers a wide range of results and techniques from the early developments in the mid-eighties to the latest achievements. As such, students and researchers interested in the modern aspects of Markov diffusion operators and semigroups and their connections to analytic functional inequalities, probabilistic convergence to equilibrium and geometric curvature will find it especially useful. Selected chapters can also be used for advanced courses on the topic.