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Magnetotellurics in the Context of Theory of Ill-Posed Problems

in the terms of the theory of ill-posed problems and contains a special chapter encouraging readers to master the elements of this theory that;

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Inverse and Ill-posed Problems

The theory of ill-posed problems originated in an unusual way. As a rule, a new concept is a subject in which its creator takes a keen;

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Optimal Methods for Ill-Posed Problems

The book covers fundamentals of the theory of optimal methods for solving ill-posed problems, as well as ways to obtain accurate and;

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Ill-Posed Problems in Probability & Stability of Random Sums

' to the original one. The goal in this book is to show that ill-posed problems are not just a mere curiosity in the contemporary theory;

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Advanced Mechatronics

control of distributed systems is presented in the general framework of the recently developed ill-posed inverse problems. The book starts with an;

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Regularization Algorithms for Ill-Posed Problems

physics. The book presents in detail stable solution methods for ill-posed problems using the methodology of iterative regularization of classical;

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Numerical Methods of Solving Ill-Posed Problems of Dielectric Spectrometry

Numerical Methods of Solving Ill-Posed Problems of Dielectric Spectrometry;

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Spline Models for Observational Data

the very important area of (Tikhonov) regularization methods for ill posed inverse problems. Convergence properties, data based smoothing;

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Dynamical Systems Method and Applications

, well-posed or ill-posed. The book presents a systematic development of the DSM, and theoretical results are illustrated by a number;

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Abstract Cauchy Problems

Although the theory of well-posed Cauchy problems is reasonably understood, ill-posed problems-involved in a numerous mathematical models;

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Abstract Cauchy Problems

Although the theory of well-posed Cauchy problems is reasonably understood, ill-posed problems-involved in a numerous mathematical models;

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Rank-Deficient and Discrete Ill-Posed Problems

of given measurements. Discrete ill-posed problems arise in connection with the numerical treatment of inverse problems, where one typically wants;

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An Introduction to the Mathematical Theory of Inverse Problems

ill-posed problems, analyzing basic properties of regularization methods for ill-posed problems via several simple analytical and numerical;

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An Introduction to the Mathematical Theory of Inverse Problems

ill-posed problems, analyzing basic properties of regularization methods for ill-posed problems via several simple analytical and numerical;

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Robust & Non-Robust Models in Statistics

In this book the authors consider so-called ill-posed problems and stability in statistics. Ill-posed problems are certain results where;

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Inverse Stefan Problems

boundaries. This new approach to the theory of ill-posed problems is useful for the modelling of nonlinear processes with phase transforms;

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Dynamical Systems Method for Solving Nonlinear Operator Equations

analysis, and ill-posed and inverse problems especially. The book presents a general method for solving operator equations, especially nonlinear;

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Inverse Problems in Physical Diagnostics

. The solution of integral equations is, with few exceptions, an ill-posed problem, and additional a priori information about the exact solution;

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Regularization Methods for Ill-Posed Optimal Control Problems

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Will They Do It Again?: Risk Assessment and Management in Criminal Justice and Psychiatry

popularly perceived to be posed by the mentally ill. But how justified is this concern? How do we best manage so-called dangerous people? In Will;

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Abstract Volterra Integro-Differential Equations

easy to read concise introduction to the theory of ill-posed abstract Volterra integro-differential equations. A major part of the research;

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Abstract Volterra Integro-Differential Equations

easy to read concise introduction to the theory of ill-posed abstract Volterra integro-differential equations. A major part of the research;

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Inverse Problems and Applications

analytical developments and numerical methods for solutions of inverse and ill-posed problems, which consistently pose complex challenges to the;

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Mathematical and Computational Sciences

etc. Most of the real-time problems are inverse in nature and among them many are ill-posed. Such problems are a matter of concern among the;

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Nonlinear and Inverse Problems in Electromagnetics

nonlinear and ill-posed nature of inverse problems and the challenges they present when developing new numerical methods are explained, and;

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An Information Theoretic Approach to Econometrics

models and methods. Because most data are observational, practitioners work with indirect noisy observations and ill-posed econometric models;

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An Information Theoretic Approach to Econometrics

models and methods. Because most data are observational, practitioners work with indirect noisy observations and ill-posed econometric models;

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