The primary aim of this book is to present the conjugate and subdifferential calculus using the method of perturbation functions in order to obtain the most general results in this field. The secondary aim is to provide important applications of this calculus and of the properties of convex functions. Such applications are: the study of well-conditioned convex functions, uniformly convex and uniformly smooth convex functions, best approximation problems, characterizations of convexity, the study of the sets of weak sharp minima, well-behaved functions and the existence of global error bounds for convex inequalities, as well as the study of monotone multifunctions by using convex functions.Contents:Preliminary Results on Functional AnalysisConvex Analysis in Locally Convex SpacesSome Results and Applications of Convex Analysis in Normed SpacesReadership: Researchers in analysis (convex and functional analysis), optimization theory and mathematical economy.Key Features:Unique in its rich and comprehensive coverage of fields of applicationsBrings readers to the forefront of researchAn excellent complement to textbooks that cover differential games and dynamic optimization