Contemporary Mathematics 1999; 284 pp; softcover Volume: 221 ISBN10: 0821806734 ISBN13: 9780821806739 List Price: US$71 Member Price: US$56.80 Order Code: CONM/221
 This volume contains proceedings from the AMS conference on Applied Analysis held at LSU (Baton Rouge) in April 1996. Topics include partial differential equations, spectral theory, functional analysis and operator theory, complex analysis, numerical analysis and related mathematics. Applications include quantum theory, fluid dynamics, control theory and abstract issues, such as wellposedness, asymptotics, and more. The book presents the scope and depth of the conference and its lectures. The stateoftheart surveys by Jerry Bona and Fritz Gesztesy contain topics of wide interest. There have been a number of good conferences on related topics, yet this volume offers readers a unique, varied viewpoint. The scope of the material in the book will benefit readers approaching the work from diverse perspectives. It will serve those seeking motivational scientific problems, those interested in techniques and subspecialties and those looking for current results in the field. Readership Graduate students, research mathematicians, engineers and scientists working in analysis and applied mathematics topics. Table of Contents  J. P. Albert  Concentration compactness and the stability of solitarywave solutions to nonlocal equations
 T. Bhattacharya and A. Weitsman  Estimates for Green's function in terms of asymmetry
 J. L. Bona and L. Luo  A generalized Kortewegde Vries equation in quarter plane
 A. Castro and J. W. Neuberger  An inverse function theorem
 F. Gesztesy and R. Weikard  Toward a characterization of elliptic solutions of hierarchies of soliton equations
 K. A. Grasse and J. R. Baron  Regularity of the value function for constrained optimization problems
 V. Liskevich and A. Manavi  On perturbations of dominated semigroups
 M. A. Park  On some nonlinear dispersive equations
 Yu. A. Semenov  On perturbation theory for linear elliptic and parabolic operators; The method of Nash
