Catalog > Ciência > Matemática > Daniel J. Colquitt & Ian S. Jones: Mathematical Modelling of Waves in Multi-Scale Structured Media (PDF)

Daniel J. Colquitt & Ian S. Jones
Mathematical Modelling of Waves in Multi-Scale Structured Media [PDF ebook]

Apoio

Capa do Daniel J. Colquitt & Ian S. Jones: Mathematical Modelling of Waves in Multi-Scale Structured Media (PDF)

Mathematical Modelling of Waves in Multi-Scale Structured Media presents novel analytical and numerical models of waves in structured elastic media, with emphasis on the asymptotic analysis of phenomena such as dynamic anisotropy, localisation, filtering and polarisation as well as on the modelling of photonic, phononic, and platonic crystals.

€64.32

Compre este e-book e ganhe mais 1 GRÁTIS!

Língua Inglês ● Formato PDF ● Páginas 262 ● ISBN 9781498782104 ● Editora CRC Press ● Publicado 2017 ● Carregável 3 vezes ● Moeda EUR ● ID 5533254 ● Proteção contra cópia Adobe DRM

Requer um leitor de ebook capaz de DRM

Mais ebooks do mesmo autor(es) / Editor

Daniel J. Colquitt Ian S. Jones Alexander B. Movchan Natasha V. Movchan United Kingdom) Jones Ian S. (Liverpool University United Kingdom) Movchan Alexander B. (University of Liverpool United Kingdom) Movchan Natasha V. (University of Liverpool

49.013 Ebooks nesta categoria

Capa do John C. George & Walter D. Wallis: Introduction to Combinatorics

John C. George & Walter D. Wallis: Introduction to Combinatorics

What Is Combinatorics Anyway? Broadly speaking, combinatorics is the branch of mathematics dealing with different ways of selecting objects from a set or arranging objects. It tries to answer two maj …

Capa do Bruce Crauder & Benny Evans: Preparation for Calculus

Bruce Crauder & Benny Evans: Preparation for Calculus

Capa do Oleksandr Nakonechnyi & Yuri Podlipenko: Guaranteed Estimation Problems in the Theory of Linear Ordinary Differential Equations with Uncertain Data

Oleksandr Nakonechnyi & Yuri Podlipenko: Guaranteed Estimation Problems in the Theory of Linear Ordinary Differential Equations with Uncertain Data

This monograph is devoted to the construction of optimal estimates of values of linear functionals on solutions to Cauchy and two-point boundary value problems for systems of linear first-order ordin …

Capa do J.S. Maritz: Empirical Bayes Methods with Applications

J.S. Maritz: Empirical Bayes Methods with Applications

The second edition of Empirical Bayes Methods details are provided of the derivation and the performance of empirical Bayes rules for a variety of special models. Attention is given to the problem of …

Capa do John W. Negele & Henri Orland: Quantum Many-particle Systems

John W. Negele & Henri Orland: Quantum Many-particle Systems

This book explains the fundamental concepts and theoretical techniques used to understand the properties of quantum systems having large numbers of degrees of freedom. A number of complimentary appro …

Capa do Mario Gonzalez: Complex Analysis

Mario Gonzalez: Complex Analysis

A selection of some important topics in complex analysis, intended as a sequel to the author”s Classical complex analysis (see preceding entry). The five chapters are devoted to analytic continuatio …

Capa do Mathias Drton & Steffen Lauritzen: Handbook of Graphical Models

Mathias Drton & Steffen Lauritzen: Handbook of Graphical Models

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, mak …

Capa do Cheryl Cihon & John K. Taylor: Statistical Techniques for Data Analysis

Cheryl Cihon & John K. Taylor: Statistical Techniques for Data Analysis

Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculat …

Capa do Haakon Bakka & Daniela Castro-Camilo: Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Haakon Bakka & Daniela Castro-Camilo: Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using …

Capa do B.L.S. Prakasa Rao: Semimartingales and their Statistical Inference

B.L.S. Prakasa Rao: Semimartingales and their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to engineering and economic systems, financial econo …

Próxima página >>>