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Showing 1 - 4 of 4 matches in All Departments

Green's Kernels and Meso-Scale Approximations in Perforated Domains (Paperback, 2013 ed.): Vladimir Maz'ya, Alexander... Green's Kernels and Meso-Scale Approximations in Perforated Domains (Paperback, 2013 ed.)
Vladimir Maz'ya, Alexander Movchan, Michael Nieves
R2,273 Discovery Miles 22 730 Ships in 10 - 15 working days

There are a wide range of applications in physics and structural mechanics involving domains with singular perturbations of the boundary. Examples include perforated domains and bodies with defects of different types. The accurate direct numerical treatment of such problems remains a challenge. Asymptotic approximations offer an alternative, efficient solution. Green's function is considered here as the main object of study rather than a tool for generating solutions of specific boundary value problems. The uniformity of the asymptotic approximations is the principal point of attention. We also show substantial links between Green's functions and solutions of boundary value problems for meso-scale structures. Such systems involve a large number of small inclusions, so that a small parameter, the relative size of an inclusion, may compete with a large parameter, represented as an overall number of inclusions. The main focus of the present text is on two topics: (a) asymptotics of Green's kernels in domains with singularly perturbed boundaries and (b) meso-scale asymptotic approximations of physical fields in non-periodic domains with many inclusions. The novel feature of these asymptotic approximations is their uniformity with respect to the independent variables. This book addresses the needs of mathematicians, physicists and engineers, as well as research students interested in asymptotic analysis and numerical computations for solutions to partial differential equations.

Applied Partial Differential Equations (Hardcover, Revised edition): John Ockendon, Sam Howison, Andrew Lacey, Alexander Movchan Applied Partial Differential Equations (Hardcover, Revised edition)
John Ockendon, Sam Howison, Andrew Lacey, Alexander Movchan
R6,581 Discovery Miles 65 810 Ships in 12 - 19 working days

Partial differential equations are used in mathematical models of a huge range of real-world phenomena, from electromagnetism to financial markets. This new edition of Applied PDEs contains many new sections and exercises Including, American options, transform methods, free surface flows, linear elasticity and complex characteristics.

Asymptotic Analysis of Fields in Multi-structures (Hardcover): Vladimir Kozlov, Vladimir Maz'ya, Alexander Movchan Asymptotic Analysis of Fields in Multi-structures (Hardcover)
Vladimir Kozlov, Vladimir Maz'ya, Alexander Movchan
R2,917 Discovery Miles 29 170 Ships in 10 - 15 working days

The asymptotic analysis of boundary value problems in parameter-dependent domains is a rapidly developing field of research in the theory of partial differential equations, with important applications in electrostatics, elasticity, hydrodynamics and fracture mechanics. Building on the work of Ciarlet and Destuynder, this book provides a systematic coverage of these methods in multi-structures, i.e. domains which are dependent on a small parameter e in such a way that the limit region consists of subsets of different space dimensions. An undergraduate knowledge of partial differential equations and functional analysis is assumed.

Applied Partial Differential Equations (Paperback, Revised edition): John Ockendon, Sam Howison, Andrew Lacey, Alexander Movchan Applied Partial Differential Equations (Paperback, Revised edition)
John Ockendon, Sam Howison, Andrew Lacey, Alexander Movchan
R3,575 Discovery Miles 35 750 Ships in 12 - 19 working days

Partial differential equations are used in mathematical models of a huge range of real-world phenomena, from electromagnetism to financial markets. This new edition of Applied PDEs contains many new sections and exercises including: American options, transform methods, free surface flows, linear elasticity and complex characteristics .

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