[EAN: 9781402001291], Neubuch, [PU: Springer Netherlands Nov 2001], ANALYSIS / FUNKTIONALANALYSIS; TOPOLOGIE - DIFFERENZIALTOPOLOGIE; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; AREA; DEX; MATHEMATICA; VECTORSPACE; BOUNDARYELEMENTMETHOD; DEVELOPMENT; FIELD; FIXEDPOINTTHEORY; KNOWLEDGE; MAPPING; METRICSPACE; ONLINE; THEMES; THEOREM; TOPOLOGICALVECTORSPACE, This item is printed on demand - it takes 3-4 days longer - Neuware -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. 292 pp. Englisch, Books<
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BuchWeltWeit Inh. Ludwig Meier e.K., Bergisch Gladbach, Germany [57449362] [Rating: 5 (von 5)] NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) Details...
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[EAN: 9781402001291], Neubuch, [SC: 0.0], [PU: Springer Netherlands], ANALYSIS / FUNKTIONALANALYSIS; TOPOLOGIE - DIFFERENZIALTOPOLOGIE; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; AREA; DEX; MATHEMATICA; VECTORSPACE; BOUNDARYELEMENTMETHOD; DEVELOPMENT; FIELD; FIXEDPOINTTHEORY; KNOWLEDGE; MAPPING; METRICSPACE; ONLINE; THEMES; THEOREM; TOPOLOGICALVECTORSPACE, Druck auf Anfrage Neuware - Printed after ordering - 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. 292 pp. Englisch, Books<
[EAN: 9781402001291], Neubuch, [PU: Springer Netherlands], ANALYSIS / FUNKTIONALANALYSIS; TOPOLOGIE - DIFFERENZIALTOPOLOGIE; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; AREA; DEX; MATHEMATICA; VECTORSPACE; BOUNDARYELEMENTMETHOD; DEVELOPMENT; FIELD; FIXEDPOINTTHEORY; KNOWLEDGE; MAPPING; METRICSPACE; ONLINE; THEMES; THEOREM; TOPOLOGICALVECTORSPACE, Druck auf Anfrage Neuware - Printed after ordering - 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. 292 pp. Englisch, Books<
[EAN: 9781402001291], Neubuch, [SC: 0.0], [PU: Springer Netherlands], ANALYSIS / FUNKTIONALANALYSIS; TOPOLOGIE - DIFFERENZIALTOPOLOGIE; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; AREA; DEX; MATHEMATICA; VECTORSPACE; BOUNDARYELEMENTMETHOD; DEVELOPMENT; FIELD; FIXEDPOINTTHEORY; KNOWLEDGE; MAPPING; METRICSPACE; ONLINE; THEMES; THEOREM; TOPOLOGICALVECTORSPACE, Druck auf Anfrage Neuware - Printed after ordering - 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., Books<
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 monog… Mehr…
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., Springer<
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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
[EAN: 9781402001291], Neubuch, [PU: Springer Netherlands Nov 2001], ANALYSIS / FUNKTIONALANALYSIS; TOPOLOGIE - DIFFERENZIALTOPOLOGIE; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; AREA; DEX; MATHEMATICA; VECTORSPACE; BOUNDARYELEMENTMETHOD; DEVELOPMENT; FIELD; FIXEDPOINTTHEORY; KNOWLEDGE; MAPPING; METRICSPACE; ONLINE; THEMES; THEOREM; TOPOLOGICALVECTORSPACE, This item is printed on demand - it takes 3-4 days longer - Neuware -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. 292 pp. Englisch, Books<
NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) BuchWeltWeit Inh. Ludwig Meier e.K., Bergisch Gladbach, Germany [57449362] [Rating: 5 (von 5)]
[EAN: 9781402001291], Neubuch, [SC: 0.0], [PU: Springer Netherlands], ANALYSIS / FUNKTIONALANALYSIS; TOPOLOGIE - DIFFERENZIALTOPOLOGIE; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; AREA; DEX; MATHEMATICA; VECTORSPACE; BOUNDARYELEMENTMETHOD; DEVELOPMENT; FIELD; FIXEDPOINTTHEORY; KNOWLEDGE; MAPPING; METRICSPACE; ONLINE; THEMES; THEOREM; TOPOLOGICALVECTORSPACE, Druck auf Anfrage Neuware - Printed after ordering - 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. 292 pp. Englisch, Books<
[EAN: 9781402001291], Neubuch, [PU: Springer Netherlands], ANALYSIS / FUNKTIONALANALYSIS; TOPOLOGIE - DIFFERENZIALTOPOLOGIE; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; AREA; DEX; MATHEMATICA; VECTORSPACE; BOUNDARYELEMENTMETHOD; DEVELOPMENT; FIELD; FIXEDPOINTTHEORY; KNOWLEDGE; MAPPING; METRICSPACE; ONLINE; THEMES; THEOREM; TOPOLOGICALVECTORSPACE, Druck auf Anfrage Neuware - Printed after ordering - 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. 292 pp. Englisch, Books<
[EAN: 9781402001291], Neubuch, [SC: 0.0], [PU: Springer Netherlands], ANALYSIS / FUNKTIONALANALYSIS; TOPOLOGIE - DIFFERENZIALTOPOLOGIE; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; AREA; DEX; MATHEMATICA; VECTORSPACE; BOUNDARYELEMENTMETHOD; DEVELOPMENT; FIELD; FIXEDPOINTTHEORY; KNOWLEDGE; MAPPING; METRICSPACE; ONLINE; THEMES; THEOREM; TOPOLOGICALVECTORSPACE, Druck auf Anfrage Neuware - Printed after ordering - 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., Books<
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 monog… Mehr…
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., Springer<
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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.
Detailangaben zum Buch - Fixed Point Theory In Probabilistic Metric Spaces
EAN (ISBN-13): 9781402001291 ISBN (ISBN-10): 1402001290 Gebundene Ausgabe Erscheinungsjahr: 2001 Herausgeber: Springer-Verlag New York Inc. 292 Seiten Gewicht: 0,602 kg Sprache: eng/Englisch
Buch in der Datenbank seit 2007-11-20T09:52:36+01:00 (Berlin) Detailseite zuletzt geändert am 2023-11-30T00:43:46+01:00 (Berlin) ISBN/EAN: 9781402001291
ISBN - alternative Schreibweisen: 1-4020-0129-0, 978-1-4020-0129-1 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: pap, hadzic, endre, analysis banach spaces, strong nonlinear Titel des Buches: metric spaces, probabilistic, fixed point theory and applications
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