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Weakly Stationary Random Fields, Invariant Subspaces and Applications

The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with;

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Weakly Stationary Random Fields, Invariant Subspaces and Applications

The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with;

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Exact Solutions and Invariant Subspaces of Nonlinear Partial Differential Equations in Mechanics and Physics

Exact Solutions and Invariant Subspaces of Nonlinear Partial Differential Equations in Mechanics and Physics is the first book to provide a;

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Random Walks Random Fields and Disordered Systems

by the three terms in the title: Random Walks, Random Fields and Disordered Systems. The specific topics covered include a study of Branching;

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Multivariate Prediction de Branges Spaces and Related Extension and Inverse Pr

This monograph deals primarily with the prediction of vector valued stochastic processes that are either weakly stationary, or have weakly;

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Stationary Stochastic Processes

Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind;

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Theoretical Statistical Optics

This monograph overviews classic and recent developments in theoretical statistical optics in connection with stationary and non-stationary;

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Invariant Subspaces of Linear Transformations in Hilbert Space, a Survey of 1961 Russian Results

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Harmonic Analysis and Applications

in shift invariant subspaces of L2( ), optimal rank one matrix decomposition, the Riemann Hypothesis, large sets avoiding rough patterns, Hardy;

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The Backward Shift on the Hardy Space

the classical Hardy space H2 model certain types of contraction operators and potentially have connections to understanding the invariant;

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Mathematical Physics at Saint-Flour

Gross, Leonard: Thermodynamics, statistical mechanics, and random fields.-Foellmer, Hans: Random fields and diffusion processes.- Nelson;

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Random And Vector Measures

Grothendieck's representation unifying and simplyfying stochastic integrations. Several stationary aspects, extensions and random currents as well as;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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High-Dimensional Probability

High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to;

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Spectral Theory Of Block Operator Matrices And Applications

spectrum; variational principles and eigenvalue estimates; block diagonalization and invariant subspaces; solutions of algebraic Riccati equations;

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Gaussian Random Processes

for mutual absolute continuity (equivalence) of probability distributions of a random process segment and of finding effective formulas for;

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London Mathematical Society Lecture Note Series

, the Peter-Weyl theory, positive definite functions, summability and convergence, spans of translates, closed ideals and invariant subspaces;

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Level Sets and Extrema of Random Processes and Fields

A timely and comprehensive treatment of random field theory with applications across diverse areas of study Level Sets and Extrema;

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Functional Analysis

Includes sections on the spectral resolution and spectral representation of self adjoint operators, invariant subspaces, strongly;

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Linear Operators and Linear Systems

such as Hardy spaces, closed operators, the gap metric, semigroups, shift-invariant subspaces, the commutant lifting theorem and almost;

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Linear Operators and Linear Systems

such as Hardy spaces, closed operators, the gap metric, semigroups, shift-invariant subspaces, the commutant lifting theorem and almost;

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Free Probability and Random Matrices

groups, quantum groups, the invariant subspace problem, large deviations, subfactors, and beyond. This book puts a special emphasis on the;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Random Signal Analysis

transformation, spectral analysis of stationary and narrow band random process are discussed in detail. With abundant exercises, this book is an;

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Stochastic Tools in Turbulence

proceeds to examinations of moments, characteristic functions, and the Gaussian distribution; random functions; and random processes in more;

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