Fixed Point Theory in Probabilistic Metric Spaces: Mathematics and Its Applications, cartea 536
Autor O. Hadzic, E. Papen Limba Engleză Paperback – 8 dec 2010
Several themes run through this book. The first is the theory of triangular norms (t-norms), which is closely related to fixed point theory in probabilistic metric spaces. Its recent development has had a strong influence upon the fixed point theory in probabilistic metric spaces.
In Chapter 1 some basic properties of t-norms are presented and several special classes of t-norms are investigated. Chapter 2 is an overview of some basic definitions and examples from the theory of probabilistic metric spaces. Chapters 3, 4, and 5 deal with some single-valued and multi-valued probabilistic versions of the Banach contraction principle. In Chapter 6, some basic results in locally convex topological vector spaces are used and applied to fixed point theory in vector spaces.
Audience: The book will be of value to graduate students, researchers, and applied mathematicians working in nonlinear analysis and probabilistic metric spaces.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 367.05 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 8 dec 2010 | 367.05 lei 6-8 săpt. | |
Hardback (1) | 376.53 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 30 noi 2001 | 376.53 lei 6-8 săpt. |
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Specificații
ISBN-13: 9789048158751
ISBN-10: 9048158753
Pagini: 288
Ilustrații: IX, 273 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:2001
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Mathematics and Its Applications
Locul publicării:Dordrecht, Netherlands
ISBN-10: 9048158753
Pagini: 288
Ilustrații: IX, 273 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:2001
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Mathematics and Its Applications
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
1 Triangular norms.- 2 Probabilistic metric spaces.- 3 Probabilistic B-contraction principles for single-valued mappings.- 4 Probabilistic B-contraction principles for multi-valued mappings.- 5 Hicks’ contraction principle.- 6 Fixed point theorems in topological vector spaces and applications to random normed spaces.