Nonconvex Optimization is a multi-disciplinary research field that deals
with the characterization and computation of local/global minima/maxima
of nonlinear, nonconvex, nonsmooth, discrete and continuous functions.
Nonconvex optimization problems are frequently encountered in modeling
real world systems for a very broad range of applications including
engineering, mathematical economics, management science, financial
engineering, and social science.
This contributed volume consists of selected contributions from the
Advanced Training Programme on Nonconvex Optimization and Its
Applications held at Banaras Hindu University in March 2009. It aims to
bring together new concepts, theoretical developments, and applications
from these researchers. Both theoretical and applied articles are
contained in this volume which adds to the state of the art research in
this field.
Topics in Nonconvex Optimization is suitable for advanced graduate
students and researchers in this area.