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Discrete Inverse and State Estimation Problems

static and time-varying, known variously as inverse, state estimation or data assimilation problems. Starting with fundamental algebraic and;

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Discrete Inverse and State Estimation Problems

static and time-varying, known variously as inverse, state estimation or data assimilation problems. Starting with fundamental algebraic and;

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Inverse Heat Transfer

, function estimation, and state estimation Applies these inverse techniques to the solution of practical inverse heat transfer problems;

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Discrete Signals and Inverse Problems

Discrete Signals and Inverse Problems examines fundamental concepts necessary to engineers and scientists working with discrete signal;

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Inverse Problem Theory and Methods for Model Parameter Estimation

probabilistic and allows the reader to understand the basic difficulties appearing in the resolution of inverse problems. The book attempts to explain;

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Inverse Heat Transfer

of inverse heat transfer protocol, as a parameter estimation approach and as a function estimation approach. These techniques are then applied to the;

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Advanced Mechatronics

This unique book extends mechatronics to spatially distributed systems. Issues regarding remote measurements and indirect monitoring and;

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Bayesian Approach to Inverse Problems

problems and regularized solutions using the Bayesian statistical tools, with a particular view to signal and image estimation. The first three;

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Rank-Deficient and Discrete Ill-Posed Problems

processing, medical imaging, seismology, astronomy, and other areas. Rank-deficient problems involve matrices that are exactly or nearly rank;

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Inverse Problems and High-Dimensional Estimation

Polytechnique ParisTech, and HEC Paris which cooperate through a scientific foundation devoted to the decision sciences. The scientific content;

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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems

Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems begins with an introduction and extensive literature survey;

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Inverse Problems in the Mathematical Sciences

Inverse problems are immensely important in modern science and technology. However, the broad mathematical issues raised by inverse;

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Inverse Problems in Engineering Mechanics III

Inverse Problems are found in many areas of engineering mechanics and there are many successful applications e.g. in non-destructive;

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An Introduction to Inverse Problems with Applications

Computational engineering/science uses a blend of applications, mathematical models and computations. Mathematical models require accurate;

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Inverse Problems in Engineering Mechanics IV

> Inverse problems can be found in many areas of engineering mechanics, and have many successful applications. They are concerned with;

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The Ocean Circulation Inverse Problem

estimation, sequential estimators and adjoint/Pontryagin principle methods. This book is intended for use as a graduate level text for students;

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Control of Discrete-Event Systems

of discrete-event systems to more recent results. Special attention is given to results on supervisory control, state estimation and fault diagnosis;

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Parameter Estimation and Inverse Problems

Parameter Estimation and Inverse Problems, Third Edition, is structured around a course at New Mexico Tech and is designed to be;

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Modeling and Inverse Problems in the Presence of Uncertainty

recent results on the estimation of probability distributions when they are embedded in complex mathematical models and only aggregate (not;

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Modeling and Inverse Problems in the Presence of Uncertainty

recent results on the estimation of probability distributions when they are embedded in complex mathematical models and only aggregate (not;

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Stability Analysis and State Estimation of Memristive Neural Networks

popular yet interrelated areas, stability analysis and state estimation of neural networks Exploits a unified framework for analysis and;

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Discrete-Time Neural Observers

Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation for discrete;

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Probability and Statistics in Experimental Physics

simulations; multi-dimensional distributions; the central limit theorem; inverse probability and confidence limits; estimation methods; curve fitting;

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Large-Scale Inverse Problems and Quantification of Uncertainty

This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical;

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Inverse Problems

contribution to the highly topical field of computational inverse problems. Both mathematical theory and numerical algorithms for model-based inverse;

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Discrete Time Stochastic Control and Dynamic Potential Games

There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the;

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Introduction To Quantum-state Estimation

understanding allows us to explore popular likelihood- and entropy-related estimation schemes that are suitable for an introductory survey on the;

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