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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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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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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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Regularization Algorithms for Ill-Posed Problems

This specialized and authoritative book contains an overview of modern approaches to constructing approximations to solutions of ill-posed;

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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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Mathematical and Numerical Approaches for Multi-Wave Inverse Problems

latest research into new, reliable theoretical approaches and numerical techniques for solving nonlinear and inverse problems arising in multi;

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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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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 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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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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Advances in Computational Mathematics

, computational approximation, numerical solutions of differential and integral equations, numerical linear algebra, inverse and ill-posed problems;

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Cambridge Monographs on Applied and Computational Mathematics

develop fast algorithms and apply these to solving linear, nonlinear Fredholm integral equations of the second kind, ill-posed integral equations;

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Matrices, Moments and Quadrature with Applications

in iterative methods for solving linear systems and computing parameters in least squares and total least squares; and solving ill-posed problems using;

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Spline Models for Observational Data

within this framework. Methods for including side conditions and other prior information in solving ill posed inverse problems are included. Data;

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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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Dielectric Properties of Agricultural Materials and their Applications

governing dielectric properties of materials, describes methods for measuring such properties, and discusses many applications explored for solving;

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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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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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Numerical Methods in Geotechnical Engineering

special section dedicated to the numerical modelling of ground improvement techniques, with applications of numerical methods for solving;

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Numerical Methods For Engineering Applications

State-of-the-art numerical methods for solving complex engineering problems Great strides in computer technology have been made in the;

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Maths in Chemistry

which find a wide variety of use while solving complex Physical Chemistry problems. This book aims to aide in understanding of such numerical;

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Optimization in Solving Elliptic Problems

- the optimization of numerical algorithms for solving elliptic problems. It presents detailed discussions of how asymptotically optimal;

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Numerical Methods with Chemical Engineering Applications

underlying numerical methods, its translation into MATLAB programs, and its use for solving realistic problems. Specific topics covered include;

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Regularization Methods for Ill-Posed Optimal Control Problems

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Algorithms for Large Scale Linear Algebraic Systems:

techniques, and some iterative optimization tools. The book is a compendium of theoretical and numerical methods for solving large algebraic;

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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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