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Nonsmooth optimization covers the minimization or maximization of
functions which do not have the differentiability properties
required by classical methods. The field of nonsmooth optimization
is significant, not only because of the existence of
nondifferentiable functions arising directly in applications, but
also because several important methods for solving difficult smooth
problems lead directly to the need to solve nonsmooth problems,
which are either smaller in dimension or simpler in structure.This
book contains twenty five papers written by forty six authors from
twenty countries in five continents. It includes papers on theory,
algorithms and applications for problems with first-order
nondifferentiability (the usual sense of nonsmooth optimization)
second-order nondifferentiability, nonsmooth equations, nonsmooth
variational inequalities and other problems related to nonsmooth
optimization.
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