This book treats various concepts of generalized derivatives and
subdifferentials in normed spaces, their geometric counterparts (tangent
and normal cones) and their application to optimization problems. It
starts with the subdifferential of convex analysis, passes to
corresponding concepts for locally Lipschitz continuous functions and
then presents subdifferentials for general lower semicontinuous
functions. All basic tools are presented where they are needed: this
concerns separation theorems, variational and extremal principles as
well as relevant parts of multifunction theory. The presentation is
rigorous, with detailed proofs. Each chapter ends with bibliographic
notes and exercises.