# Nonsmooth Equations in Optimization

## Regularity, Calculus, Methods and Applications

• Diethard Klatte
• Bernd Kummer
Book

Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 60)

## Table of contents

1. Front Matter
Pages i-xxviii
2. Pages 1-17
3. Pages 19-60
4. Pages 71-87
5. Pages 89-103
6. Pages 105-147
7. Pages 149-181
8. Pages 183-230
9. Pages 231-256
10. Pages 257-273
11. Pages 275-285
12. Pages 287-301
13. Back Matter
Pages 303-332

## About this book

### Introduction

Many questions dealing with solvability, stability and solution methods for va- ational inequalities or equilibrium, optimization and complementarity problems lead to the analysis of certain (perturbed) equations. This often requires a - formulation of the initial model being under consideration. Due to the specific of the original problem, the resulting equation is usually either not differ- tiable (even if the data of the original model are smooth), or it does not satisfy the assumptions of the classical implicit function theorem. This phenomenon is the main reason why a considerable analytical inst- ment dealing with generalized equations (i.e., with finding zeros of multivalued mappings) and nonsmooth equations (i.e., the defining functions are not c- tinuously differentiable) has been developed during the last 20 years, and that under very different viewpoints and assumptions. In this theory, the classical hypotheses of convex analysis, in particular, monotonicity and convexity, have been weakened or dropped, and the scope of possible applications seems to be quite large. Briefly, this discipline is often called nonsmooth analysis, sometimes also variational analysis. Our book fits into this discipline, however, our main intention is to develop the analytical theory in close connection with the needs of applications in optimization and related subjects. Main Topics of the Book 1. Extended analysis of Lipschitz functions and their generalized derivatives, including ”Newton maps” and regularity of multivalued mappings. 2. Principle of successive approximation under metric regularity and its - plication to implicit functions.

### Keywords

Approximation Newton's method applied mathematics optimization

#### Authors and affiliations

• Diethard Klatte
• 1
• Bernd Kummer
• 2
1. 1.Institute for Operations Research and Mathematical Methods of EconomicsUniversity of ZurichSwitzerland
2. 2.Institute of Mathematics, Faculty of Mathematics and Natural Sciences IIHumboldt University BerlinGermany

### Bibliographic information

• DOI https://doi.org/10.1007/b130810
• Copyright Information Kluwer Academic Publishers 2002
• Publisher Name Springer, Boston, MA
• eBook Packages
• Print ISBN 978-1-4020-0550-3
• Online ISBN 978-0-306-47616-7
• Series Print ISSN 1571-568X
• About this book
Industry Sectors
Engineering
Aerospace
Oil, Gas & Geosciences
Pharma