Isbn: 9788132229254 - convergence methods for double sequences and applications (17 risultati)

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book exclusively deals with the study of almost convergence and statistical convergence of double sequences. The notion of 'almost convergence' is perhaps the most useful notion in order to obtain a weak limit of a bounded non-convergent sequence. There is another notion of convergence known as the 'statistical convergence', introduced by H. Fast, which is an extension of the usual concept of sequential limits. This concept arises as an example of 'convergence in density' which is also studied as a summability method. Even unbounded sequences can be dealt with by using this method. 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 almost convergence and statistical convergence for double sequences along with applications and suitable examples. The last chapter is devoted to the study convergence of double series and describes various convergence tests analogous to those of single sequences. In addition to 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.…

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Taschenbuch. Condizione: Neu. Convergence Methods for Double Sequences and Applications | M. Mursaleen (u. a.) | Taschenbuch | ix | Englisch | 2016 | Springer | EAN 9788132229254 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book exclusively deals with the study of almost convergence and statistical convergence of double sequences. The notion of 'almost convergence' is perhaps the most useful notion in order to obtain a weak limit of a bounded non-convergent sequence. There is another notion of convergence known as the 'statistical convergence', introduced by H. Fast, which is an extension of the usual concept of sequential limits. This concept arises as an example of 'convergence in density' which is also studied as a summability method. Even unbounded sequences can be dealt with by using this method. 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 almost convergence and statistical convergence for double sequences along with applications and suitable examples. The last chapter is devoted to the study convergence of double series and describes various convergence tests analogous to those of single sequences. In addition to 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. 184 pp. Englisch.…

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Studies double sequences or sequences of matrices by using non-matrix methodsDemonstrates the concept in use with numerical double sequencesDemystifies the concept of double sequences with the help of suitable examplesHighlights the .…

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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book exclusively deals with the study of almost convergence and statistical convergence of double sequences. The notion of ¿almost convergence¿ is perhaps the most useful notion in order to obtain a weak limit of a bounded non-convergent sequence. There is another notion of convergence known as the ¿statistical convergence¿, introduced by H. Fast, which is an extension of the usual concept of sequential limits. This concept arises as an example of ¿convergence in density¿ which is also studied as a summability method. Even unbounded sequences can be dealt with by using this method. 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 almost convergence and statistical convergence for double sequences along with applications and suitable examples. The last chapter is devoted to the study convergence of double series and describes various convergence tests analogous to those of single sequences. In addition to 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 184 pp. Englisch.…

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