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Gaussian Measures in Hilbert Space

. In addition to chapters devoted to measure theory, this book highlights problems related to Gaussian measures in Hilbert and Banach spaces. Borel;

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Stochastic Analysis for Gaussian Random Processes and Fields

properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs;

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Stochastic Analysis for Gaussian Random Processes and Fields

properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs). The;

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Gaussian Hilbert Spaces

This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;

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Gaussian Hilbert Spaces

This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;

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Sub-Hardy Hilbert Spaces In The Unit Disk

Originally developed in 1966, Hilbert spaces have undergone intense investigation in the past few years. This book concerns a family;

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Hilbert Spaces

engineering problems. It first provides some general viewpoints on convex sets, projections, and orthogonality in Hilbert spaces and then focuses on;

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Functional Analysis

This book presents basic elements of the theory of Hilbert spaces and operators on Hilbert spaces, culminating in a proof of the spectral;

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Functional Analysis

This book presents basic elements of the theory of Hilbert spaces and operators on Hilbert spaces, culminating in a proof of the spectral;

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From Euclidean to Hilbert Spaces - Introduction to Functional Analysis and its Applications

From Euclidian to Hilbert Spaces analyzes the transition from finite dimensional Euclidian spaces to infinite-dimensional Hilbert spaces, a;

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Functional Analysis

. Starting from a dedicated chapter on the axiom of choice, subsequent chapters cover Hilbert spaces, linear operators, functionals and duality;

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Gaussian Processes, Function Theory, and the Inverse Spectral Problem

of a weighted string developed by Krein and certain Hilbert spaces of entire functions introduced by L. de Branges. Various other connections;

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Functional Analysis

This book presents basic elements of the theory of Hilbert spaces and operators on Hilbert spaces, culminating in a proof of the spectral;

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Fixed Points of Nonlinear Operators

mappings, pseudo-contrations in Hilbert Spaces and in Banach Spaces. Iterative methods of zeros for accretive mappings in Banach Spaces and;

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Gaussian Random Processes

information (on distributions in Hilbert spaces, properties of sam ple functions, theorems on functions of a complex variable, etc. ). Since 1958;

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Generalized Functionals Of Brownian Motion And Their Applications

demonstrating their nontrivial applications to stochastic differential equations in finite and infinite dimensional Hilbert spaces, optimization and;

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Hilbert Space Methods in Signal Processing

This lively and accessible book describes the theory and applications of Hilbert spaces and also presents the history of the subject to;

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Some Random Series of Functions

Hilbert spaces, random Taylor or Fourier series, Brownian motion and other Gaussian processes, plus certain types of random sets and measures. The;

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Topology of Infinite Dimensional Manifolds

. In this book, the following spaces are considered model spaces: Hilbert space (or non-separable Hilbert spaces), the Hilbert cube, dense subspaces;

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Topology of Infinite Dimensional Manifolds

. In this book, the following spaces are considered model spaces: Hilbert space (or non-separable Hilbert spaces), the Hilbert cube, dense subspaces;

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Kato's Type Inequalities for Bounded Linear Operators in Hilbert Spaces

The aim of this book is to present results related to Kato's famous inequality for bounded linear operators on complex Hilbert spaces;

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Banach, Frechet, Hilbert and Neumann Spaces

is on normed or semi-normed vector spaces, including the spaces of Banach, Frechet and Hilbert, with new developments on Neumann spaces, but;

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Simulation of Stochastic Processes with Given Accuracy and Reliability

reliability in functional spaces. The authors explore analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random;

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Kernel Adaptive Filtering

Reproducing kernel Hilbert spaces is a topic of great current interest for applications in signal processing, communications, and controls;

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A Primer on Hilbert Space Theory

physical case. Within an ordinary graduate course in physics there is insufficient time to cover the theory of Hilbert spaces and operators, as;

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A First Course in Functional Analysis

operators, Hilbert spaces, operators on Hilbert spaces, spectral theory and Banach algebras usually taught as a core course to post-graduate;

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