Leonid Berlyand, Alexander G. Kolpakov, A. Novikov

Introduction to the Network Approximation Method for Materials Modeling

• Gebundenes Buch

Produktbeschreibung

In recent years the traditional subject of continuum mechanics has grown rapidly and many new techniques have emerged. This text provides a rigorous, yet accessible introduction to the basic concepts of the network approximation method and provides a unified approach for solving a wide variety of applied problems. As a unifying theme, the authors discuss in detail the transport problem in a system of bodies. They solve the problem of closely placed bodies using the new method of network approximation for PDE with discontinuous coefficients, developed in the 2000s by applied mathematicians in the USA and Russia. Intended for graduate students in applied mathematics and related fields such as physics, chemistry and engineering, the book is also a useful overview of the topic for researchers in these areas. This introductory text presents the state of the art in general framework approximation theory. Intended for graduate students in applied mathematics and related fields such as physics and engineering, it is also a useful overview of the topic for researchers in these areas.

Produktdetails

• Encyclopedia of Mathematics and its Applications .148
• Verlag: Cambridge University Press
• Seitenzahl: 258
• Erscheinungstermin: 13. Dezember 2012
• Englisch
• Abmessung: 240mm x 161mm x 20mm
• Gewicht: 542g
• ISBN-13: 9781107028234
• ISBN-10: 110702823X
• Artikelnr.: 36275397

Autorenporträt

Leonid Berlyand is Professor of Mathematics and a member of the Materials Research Institute at Pennsylvania State University.

Inhaltsangabe

Preface; 1. Review of mathematical notions used in the analysis of transport problems in dense-packed composite materials; 2. Background and motivation for introduction of network models; 3. Network approximation for boundary-value problems with discontinuous coefficients and a finite number of inclusions; 4. Numerics for percolation and polydispersity via network models; 5. The network approximation theorem for an infinite number of bodies; 6. Network method for nonlinear composites; 7. Network approximation for potentials of disks; 8. Application of complex variables method; Bibliography; Index.