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An Easy Path to Convex Analysis and Applications
Boris S. Mordukhovich
Nguyen Mau Nam
出版
Springer Nature
, 2022-05-31
主題
Mathematics / General
Mathematics / Probability & Statistics / General
Technology & Engineering / Engineering (General)
Mathematics / Applied
ISBN
3031024060
9783031024061
URL
http://books.google.com.hk/books?id=3X9yEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and practical applications. It is now being taught at many universities and being used by researchers of different fields. As convex analysis is the mathematical foundation for convex optimization, having deep knowledge of convex analysis helps students and researchers apply its tools more effectively. The main goal of this book is to provide an easy access to the most fundamental parts of convex analysis and its applications to optimization. Modern techniques of variational analysis are employed to clarify and simplify some basic proofs in convex analysis and build the theory of generalized differentiation for convex functions and sets in finite dimensions. We also present new applications of convex analysis to location problems in connection with many interesting geometric problems such as the Fermat-Torricelli problem, the Heron problem, the Sylvester problem, and their generalizations. Of course, we do not expect to touch every aspect of convex analysis, but the book consists of sufficient material for a first course on this subject. It can also serve as supplemental reading material for a course on convex optimization and applications.