AuthorZeidler, Eberhard. author
TitleNonlinear Functional Analysis and its Applications [electronic resource] : III: Variational Methods and Optimization / by Eberhard Zeidler
ImprintNew York, NY : Springer New York : Imprint: Springer, 1985
Connect tohttp://dx.doi.org/10.1007/978-1-4612-5020-3
Descript XXII, 662 p. online resource

SUMMARY

As long as a branch of knowledge offers an abundance of problems, it is full of vitality. David Hilbert Over the last 15 years I have given lectures on a variety of problems in nonlinear functional analysis and its applications. In doing this, I have recommended to my students a number of excellent monographs devoted to specialized topics, but there was no complete survey-type exposition of nonlinear functional analysis making available a quick survey to the wide range of readers including mathematicians, natural scientists, and engineers who have only an elementary knowledge of linear functional analysis. I have tried to close this gap with my five-part lecture notes, the first three parts of which have been published in the Teubner-Texte series by Teubner-Verlag, Leipzig, 1976, 1977, and 1978. The present English edition was translated from a completely rewritten manuscript which is significantly longer than the original version in the Teubner-Texte series. The material is organized in the following way: Part I: Fixed Point Theorems. Part II: Monotone Operators. Part III: Variational Methods and Optimization. Parts IV jV: Applications to Mathematical Physics. The exposition is guided by the following considerations: (a) What are the supporting basic ideas and what intrinsic interrelations exist between them? (/3) In what relation do the basic ideas stand to the known propositions of classical analysis and linear functional analysis? ( y) What typical applications are there? Vll Preface viii Special emphasis is placed on motivation


SUBJECT

  1. Mathematics
  2. Mathematical analysis
  3. Analysis (Mathematics)
  4. System theory
  5. Calculus of variations
  6. Mathematics
  7. Systems Theory
  8. Control
  9. Calculus of Variations and Optimal Control; Optimization
  10. Analysis