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Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on;

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Adaptive Stochastic Methods

This monograph develops adaptive stochastic methods in computational mathematics. The authors discuss the basic ideas of the algorithms and;

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Adaptive Digital Filters

This text emphasizes the intricate relationship between adaptive filtering and signal analysis - highlighting stochastic processes, signal;

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Intelligent Control

approaches/H theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic;

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Uncertainty Quantification in Computational Fluid Dynamics

stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type;

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Stability and Synchronization Control of Stochastic Neural Networks

This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the;

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Stability and Synchronization Control of Stochastic Neural Networks

This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the;

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Adaptive Control : Second Edition;Adaptive Control : Second Edition;

estimation, self-tuning regulators and model-reference adaptive systems, stochastic adaptive control, and automatic tuning of regulators. Additional;

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Recent Advances in Scientific Computing and Applications

-optics, biofilms, finance, magnetohydrodynamics flow, electromagnetic waves, the fluid-structure interaction problem, and stochastic PDEs;

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Time Series Analysis

models, discusses their theoretical characteristics, and explores the connections among stochastic dynamic models. Emphasizing the time domain;

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Handling Emotions in Human-Computer Dialogues

-stochastic dialogue model employed relates user emotion management to the corresponding dialogue interaction history and allows the device to adapt;

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Complex Valued Nonlinear Adaptive Filters

is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This;

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Advances in Linear Stochastic Programming

Multi-stage Stochastic Programming (MSP) has many practical applications for solving problems whose current resolution must be made while;

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Numerical Methods For Stochastic Processes

Stochastic models deal with mathematical expectations (the probability of events, variance, etc). This study deals with the calculation;

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Stochastic Cauchy Problems in Infinite Dimensions

Stochastic Cauchy Problems in Infinite Dimensions: Generalized and Regularized Solutions presents stochastic differential equations for;

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Asymptotic Methods and Stochastic Models in Problems of Wave Propagation

Asymptotic Methods and Stochastic Models in Problems of Wave Propagation is een boek van American Mathematical Society;

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Stochastic Methods in Economics and Finance

: martingale methods, stochastic processes, optimal stopping, the modeling of uncertainty using a Wiener process, Ito's Lemma as a tool of stochastic;

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Simulation and Inference for Stochastic Processes with Yuima: A Comprehensive R Framework for Sdes and Other Stochastic Processes

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic;

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Stochastic Optimization Methods: Applications in Engineering and Operations Research

stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the probabilities and expectations involved, the;

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Methods of Optimal Statistical Decisions, Optimal Control, and Stochastic Differential Equations

Methods of Optimal Statistical Decisions, Optimal Control, and Stochastic Differential Equations is een boek van Ellida M Khazen;

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Numerical Methods for Stochastic Computations

The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes;

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Stochastic Processes for Physicists

Stochastic processes are an essential part of numerous branches of physics, as well as in biology, chemistry, and finance. This textbook;

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Mean Field Simulation for Monte Carlo Integration

chain models, stochastic optimization, nonlinear filtering and multiple target tracking, stochastic optimization, calibration and uncertainty;

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Mean Field Simulation for Monte Carlo Integration

chain models, stochastic optimization, nonlinear filtering and multiple target tracking, stochastic optimization, calibration and uncertainty;

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Linear Stochastic Systems

Linear Stochastic Systems, originally published in 1988, is today as comprehensive a reference to the theory of linear discrete-time;

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Stochastic Methods in Subsurface Contaminant Hydrology

This comprehensive book details the existing methodologies and emerging techniques available for performing stochastic analysis;

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Stochastic Reachability Analysis of Hybrid Systems

Stochastic reachability analysis (SRA) is a method of analyzing the behavior of control systems which mix discrete and continuous dynamics;

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