Fixed point theory in probabilistic metric spaces can be considered
as a part of Probabilistic Analysis, which is a very dynamic area
of mathematical research. A primary aim of this monograph is to
stimulate interest among scientists and students in this
fascinating field. The text is self-contained for a reader with a
modest knowledge of the metric fixed point theory. 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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
