An Easy Path to Convex Analysis and Applications
eBook - PDF

An Easy Path to Convex Analysis and Applications

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

An Easy Path to Convex Analysis and Applications

About this book

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.

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Yes, you can access An Easy Path to Convex Analysis and Applications by Boris S. Mordukhovich,Nguyen Mau Nam,Boris Mordukhovich,Nguyen Mau in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Copyright Page
  3. Title Page
  4. Dedication
  5. Contents
  6. Preface
  7. Acknowledgments
  8. List of Symbols
  9. Convex Sets and Functions
  10. Subdifferential Calculus
  11. Remarkable Consequences of Convexity
  12. Applications to Optimization and Location Problems
  13. Solutions and Hints for Exercises
  14. Bibliography
  15. Authors' Biographies
  16. Index