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Linear Approximations In Convex Metric Spaces And The Application In The Mixture Theory Of Probability Theory

This book focuses on the problem of linear approximability, or decomposability for distribution functions. While questions concerning this;

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Convex and Set-Valued Analysis

-dimensional spaces A problem of linear programming More about convex sets and convex hulls Part II: Set-valued analysis Introduction to the theory;

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Geometric approach to evolution problems in metric spaces

techniques fall within the scope of analysis, probability and metric geometry, while a significant part of the manuscript contributes to the optimal;

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Real Analysis and Probability

This classic textbook offers a clear exposition of modern probability theory and of the interplay between the properties of metric spaces;

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Real Analysis and Probability

This classic textbook offers a clear exposition of modern probability theory and of the interplay between the properties of metric spaces;

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Cambridge Studies in Advanced Mathematics

This classic textbook offers a clear exposition of modern probability theory and of the interplay between the properties of metric spaces;

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Uniform Central Limit Theorems

This classic textbook offers a clear exposition of modern probability theory and of the interplay between the properties of metric spaces;

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Elements of the Theory of Functions and Functional Analysis

brief introduction to set theory and mappings, the authors offer a clear presentation of the theory of metric and complete metric spaces. The;

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Fuzzy Operator Theory in Mathematical Analysis

theory with applications to fuzzy metric spaces, fuzzy normed spaces, partially ordered fuzzy metric spaces, fuzzy normed algebras, and non;

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Fuzzy Operator Theory in Mathematical Analysis

theory with applications to fuzzy metric spaces, fuzzy normed spaces, partially ordered fuzzy metric spaces, fuzzy normed algebras, and non;

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Linear Algebra for Quantum Theory

aspects of set theory and the theory of linear spaces and their mappings that are indispensable to the study of quantum theory. Unlike more;

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Convergence of Probability Measures

spaces. He incorporates many examples and applications that illustrate the power and utility of this theory in a range of disciplines-from;

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Elements of Geometry of Balls in Banach Spaces

calculus in normed spaces, approximation theory, weak topologies and reflexivity, general theory of convexity and convex functions, metric fixed;

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The Volume of Convex Bodies and Banach Space Geometry

Euclidean space and the geometry of the corresponding finite-dimensional normed spaces. The methods employ classical ideas from the theory of convex;

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Constructive Real Analysis

, polyhedral convex programming, and infinite convex programming. Additional subjects include linear spaces and convex sets and applications to;

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Probability Measures on Metric Spaces

fine exposition, the author gives a cohesive account of the theory of probability measures on complete metric spaces (which he views as an;

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Fixed Point Theory for Lipschitzian-Type Mappings with Applications

of metric and Banach spaces. Geometric considerations of underlying spaces play a prominent role in developing and understanding the theory. The;

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Linear Processes in Function Spaces

general linear processes and statistical prediction. Implementation and numerical applications are also covered. The book assumes knowledge;

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Metric Structures and Fixed Point Theory

. Features Explores the latest research and developments in fixed point theory on the most popular generalizations of metric spaces;

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Nonlinear Functional Analysis & Applications

This book reviews recent topics on the areas of fixed point theory, convex and set-valued analysis, variational inequality and;

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Inequality Theory & Applications

This book introduces and exchanges recent innovative topics on the areas of fixed point theory, convex and set-valued analysis, variational;

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Inequality Theory & Applications

This book introduces and exchanges recent innovative topics on the areas of fixed point theory, convex and set-valued analysis, variational;

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Introduction to the Analysis of Normed Linear Spaces

have familiarity with elementary real and complex analysis and linear algebra and have studied a course in the analysis of metric spaces, a;

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Nonlinear Functional Analysis & Applications

This book reviews recent topics on the areas of fixed point theory, convex and set-valued analysis, variational inequality and;

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Nonlinear Functional Analysis & Applications

This book reviews topics on the areas of fixed point theory, convex and set-valued analysis, variational inequality and complementarity;

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Measure and Probability

complex measures, Lp spaces, Radon-Nikodym theorem, and the Riesz representation theorem. It presents the elements of probability theory, the law;

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Measure and Probability

complex measures, Lp spaces, Radon-Nikodym theorem, and the Riesz representation theorem. It presents the elements of probability theory, the law;

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