Springer Duality for Nonconvex Approximation and Optimization (English, Special Edition, Ivan Singer)

About the Book

The theory of convex optimization has been developing constantly over the past 30 years. Recently, researchers have been studying more complicated classes of problems that still can be studied by means of convex analysis, so-called "anticonvex" and "convex-anticonvex" optimization problems. This monograph contains an exhaustive presentation of the duality theory for these classes of problems and their generalizations.

Why You Should Read This Book

• Written by acclaimed author Ivan Singer
• Published by Springer, a respected name in academic and professional publishing
• Covers the domain of Mathematical Analysis with depth and clarity
• Available in English — ideal for students, researchers, and professionals alike
• A trusted reference work that belongs on every serious reader's shelf

Product Details

This Special Edition of Duality for Nonconvex Approximation and Optimization is published by Springer and carries ISBN-13 9780387283944. Packaged securely for delivery across India, this edition is ideal for personal libraries, classroom use, and professional reference.

Who Is This Book For?

Whether you are a student preparing for advanced coursework, a researcher deepening your expertise, or a professional staying current with the field, Duality for Nonconvex Approximation and Optimization by Ivan Singer is an excellent choice. Order your copy today from BookBajar and enjoy free shipping with Cash on Delivery available across India.