An easy path to convex analysis and applications

Bibliographic Information

An easy path to convex analysis and applications

Boris S. Mordukhovich, Nguyen Mau Nam

(Synthesis lectures on mathematics and statistics)(Synthesis collection of technology)

Springer, c2023

2nd ed

Available at  / 1 libraries

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Note

"1st ed Morgan & Claypool Publishers 2014"--T.p. verso

Includes bibliographical references (p. 295-296) and index

Description and Table of Contents

Description

This book examines the most fundamental parts of convex analysis and its applications to optimization and location problems. Accessible techniques of variational analysis are employed to clarify and simplify some basic proofs in convex analysis and to build a theory of generalized differentiation for convex functions and sets in finite dimensions. The book serves as a bridge for the readers who have just started using convex analysis to reach deeper topics in the field. Detailed proofs are presented for most of the results in the book and also included are many figures and exercises for better understanding the material. Applications provided include both the classical topics of convex optimization and important problems of modern convex optimization, convex geometry, and facility location.

Table of Contents

Convex Sets and Functions.- Convex Separation and Some Consequences.- Convex Generalized Differentiation.- Fenchel Conjugate and Further Topics In Subdifferentiation.- Remarkable Consequences of Convexity.- Minimal Time Functions and Related Issues.- Applications To Problems of Optimization and Equilibrium.- Applications To Location Problems.

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Details

  • NCID
    BD02703845
  • ISBN
    • 9783031264573
  • Country Code
    sz
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Cham
  • Pages/Volumes
    xvi, 202 p.
  • Size
    24 cm
  • Parent Bibliography ID
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