ISBN-13: 9783659473654 / Angielski / Miękka / 2013 / 76 str.
This book exclusively deals with the study of ideal convergence on different type of sequences spaces. The notion of ideal convergence is the generalization of the statistical convergence , introduced by H. Fast, which is an extension of the usual concept of sequential limits. The book also discusses the applications of these non-matrix methods in approximation theory. Written in a self-contained style, the book discusses in detail the methods of ideal convergence for single sequences along with applications and suitable examples. The last chapter gives some applications in approximation theory; the results are expected to find application in many other areas of pure and applied mathematics such as mathematical analysis, probability, fixed point theory and statistics.