Set-Valued Analysis"An elegantly written, introductory overview of the field, with a near perfect choice of what to include and what not, enlivened in places by historical tidbits and made eminently readable throughout by crisp language. It has succeeded in doing the near-impossible—it has made a subject which is generally inhospitable to nonspecialists because of its ‘family jargon’ appear nonintimidating even to a beginning graduate student." —The Journal of the Indian Institute of Science "The book under review gives a comprehensive treatment of basically everything in mathematics that can be named multivalued/set-valued analysis. It includes...results with many historical comments giving the reader a sound perspective to look at the subject...The book is highly recommended for mathematicians and graduate students who will find here a very comprehensive treatment of set-valued analysis." —Mathematical Reviews "I recommend this book as one to dig into with considerable pleasure when one already knows the subject...‘Set-Valued Analysis’ goes a long way toward providing a much needed basic resource on the subject." —Bulletin of the American Mathematical Society "This book provides a thorough introduction to multivalued or set-valued analysis...Examples in many branches of mathematics, given in the introduction, prevail [upon] the reader the indispensability [of dealing] with sequences of sets and set-valued maps...The style is lively and vigorous, the relevant historical comments and suggestive overviews increase the interest for this work...Graduate students and mathematicians of every persuasion will welcome this unparalleled guide to set-valued analysis." —Zentralblatt Math |
From inside the book
Results 1-5 of 52
... Closed Convex Processes 55 2.1 Definitions 56 2.2 Open Mapping and Closed Graph Theorems 57 2.3 Uniform Boundedness Theorem 61 2.4 The Bipolar Theorem 62 2.5 Transposition of Closed Convex Process 67 2.6 Upper Hemicontinuous Maps 74 3 ...
... Closed Convex Processes 114 4 Tangent Cones 117 4.1 Tangent Cones to a Subset 121 4.1.1 Contingent Cones 121 4.1.2 Elementary Properties of Contingent Cones . . 125 4.1.3 Adjacent and Clarke Tangent Cones 126 4.1.4 Sleek Subsets 130 4.1 ...
... Closed Convex Processes 269 7.1.3 Monotone and Maximal Monotone Maps .... 270 7.2 Convergence Theorems 270 7.3 Epilimits 274 7.3.1 Definitions and Elementary Properties 274 7.3.2 Convergence of Infima and Minimizers 281 7.3.3 ...
... closed convex cone, which is a kind of vector subspace in which it is forbidden to use subtraction. These cones enjoy many properties of the vector subspaces. For this reason, we select the closed convex processes, i.e., the maps whose ...
... closed convex processes, this strategy provides ways for transferring some properties of linear set- valued maps to nonlinear maps. • Gradients of Functions and the Fermat Rule The particular case of real-valued functions deserves a ...