Fluids and Waves: Recent Trends in Applied Analysis

Author:   Fernanda Botelho ,  Thomas Hagen ,  James E. Jamison
Publisher:   American Mathematical Society
Edition:   illustrated Edition
Volume:   No. 440
ISBN:  

9780821842478


Pages:   287
Publication Date:   30 September 2007
Format:   Paperback

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Fluids and Waves: Recent Trends in Applied Analysis


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Full Product Details

Author:   Fernanda Botelho ,  Thomas Hagen ,  James E. Jamison
Publisher:   American Mathematical Society
Imprint:   American Mathematical Society
Edition:   illustrated Edition
Volume:   No. 440
Weight:   0.539kg
ISBN:  

9780821842478


ISBN 10:   0821842471
Pages:   287
Publication Date:   30 September 2007
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active

Table of Contents

Vibrations of a damageable string by K. T. Andrews, S. Anderson, R. S. R. Menike, M. Shillor, R. Swaminathan, and J. Yuzwalk The coupled PDE system arising in fluid/structure interaction. Part I: Explicit semigroup generator and its spectral properties by G. Avalos and R. Triggiani Existence of the energy-level weak solutions for a nonlinear fluid-structure interaction model by V. Barbu, Z. Grujic, I. Lasiecka, and A. Tuffaha Gevrey regularity of solutions to the 3D Navier-Stokes equations by A. Biswas and D. Swanson Stimulus-induced bumps in two-dimensional neural field theory by P. C. Bressloff Wave problems in unbounded domains: Fredholmness and the finite section method by S. N. Chandler-Wilde and M. Lindner Exotic dynamics in a firing rate model of neural tissue with threshold accommodation by S. Coombes and M. R. Owen Embedded models of self-assembly of DNA complexes by M. H. Garzon, D. R. Blain, and M. West A parameter property of integrodifferential equations with memory by M. He Stochastic models with negative friction for intermittent rolling of biological mimetics by J. M. Lavine, E. C. Eckstein, and J. A. Goldstein Multi-parameter oscillatory connection functions in neural field models by J. A. H. Murdock Front speeds, cut-offs, and desingularization: A brief case study by N. Popovic Neural networks can learn to approximate autonomous flows by J. M. Rodriguez and M. H. Garzon Rogue waves, non-Gaussian statistics and proximity to homoclinic data by C. M. Schober Nonlinear stochastic wave equations in $\mathbb{R}^1$ with power-law nonlinearity and additive space-time noise by H. Schurz The method of Lyapunov functions of two variables by J. Tolosa Analysis of map formation in visual perception by J. Zhu.

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