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Set-Valued Stochastic Integrals and Applications

, set-valued stochastic Lebesgue, and stochastic Aumann integrals, the volume is divided into nine parts. It begins with preliminaries;

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Set-Valued Stochastic Integrals and Applications

, set-valued stochastic Lebesgue, and stochastic Aumann integrals, the volume is divided into nine parts. It begins with preliminaries;

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Nonlinear Mathematics for Uncertainty and its Applications

, set-valued and fuzzy stochastic processes, imprecise probability theory and related statistical models, fuzzy mathematics, nonlinear;

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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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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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Stochastic Integrals

to learn about stochastic integrals. The author starts with the presentation of Brownian motion, then deals with stochastic integrals and;

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From Measures to Ito Integrals

look at martingale calculus. Modern probability theory and the applications of stochastic processes rely heavily on an understanding of basic;

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Stochastic PDEs and Dynamics

This book explains mathematical theories of a collection of stochastic partial differential equations and their dynamical behaviors. Based;

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Mathematical Feynman Path Integrals And Their Applications

several dynamical systems have been added.This book bridges between the realms of stochastic analysis and the theory of Feynman path integration;

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Stochastic Partial Differential Equations

sections on the Levy type of stochastic integrals and the related stochastic differential equations in finite dimensions Discussions of Poisson;

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Approximation

polynomials, splines, and operators, and applications to stochastics; numerical methods for approximation of deterministic and stochastic integrals;

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Censoring and Stochastic Integrals

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Hilbert And Banach Space-valued Stochastic Processes

of infinite-dimensional stationary and nonstationary stochastic processes or time series, based on Hilbert and Banach space-valued second order random;

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Markov Processes and Quantum Theory

. Implying that the Schroedinger equation is a complex-valued evolution equation and the Schroedinger function is a complex-valued evolution function;

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Levy Processes & Stochastic Calculus

Levy processes form a wide and rich class of random process, and have many applications ranging from physics to finance. Stochastic;

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Path Integrals in Physics

Path Integrals in Physics: Volume I, Stochastic Processes and Quantum Mechanics presents the fundamentals of path integrals, both the;

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Path Integrals in Physics

Path Integrals in Physics: Volume I, Stochastic Processes and Quantum Mechanics presents the fundamentals of path integrals, both the;

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Encyclopedia of Mathematics and its Applications

. Stochastic parabolic and hyperbolic equations on domains of arbitrary dimensions are studied, and applications to statistical and fluid mechanics and;

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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables

After the pioneering works by Robbins {1944, 1945) and Choquet (1955), the notation of a set-valued random variable (called a random closed;

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Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

time processes, including the concepts of random sequences, martingales, and limit theorems. Part III covers continuous time stochastic;

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Nonlinear Integrals And Their Applications In Data Mining

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set;

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Physics and Finance

, they acquire a number of useful mathematical and computational tools, such as stochastic differential equations, path integrals, Monte-Carlo;

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Physics and Finance

, they acquire a number of useful mathematical and computational tools, such as stochastic differential equations, path integrals, Monte-Carlo;

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Stochastic Calculus and Applications

through the modern general theory of random processes and stochastic integrals as used by systems theorists, electronic engineers and, more;

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