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Numerical Methods for Inverse Problems

The book Numerical Methods for Inverse Problems consists of contemporaneouss articles featuring not only several well-known inverse;

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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 Numerical Approaches for Multi-Wave Inverse Problems

This proceedings volume gathers peer-reviewed, selected papers presented at the Mathematical and Numerical Approaches for Multi-Wave;

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Numerical Methods for Inverse Problems

been applied, and are often illustrated by numerical examples.;

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Inverse Problems in the Mathematical Sciences

of the principal numerical methods for inverse problems. An extensive annotated bibliography furnishes leads on the history of inverse problems;

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Computational Methods for Inverse Problems in Imaging

for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also;

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Computational Methods for Inverse Problems in Imaging

for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also;

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Inverse Stefan Problems

in thermophysics and mechanics of continuous media. Regularization methods and algorithms are developed for the numerical solution of inverse Stefan;

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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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Nonlinear and Inverse Problems in Electromagnetics

in electromagnetics and their applications. From mathematical problem statement to numerical results, the featured articles provide a concise overview;

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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 Quantum Scattering Theory

therefore be of interest to theoretical and mathematical physicists, nuclear particle physicists, and chemical physicists. For the second edition;

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Integral Equations, Boundary Value Problems And Related Problems

and integral equations to mechanics and physics, numerical methods of integral equations and boundary value problems, theories and methods for;

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An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

sources of error introduced by approximate mathematical models, regularization methods, numerical approximations for efficient computations, noisy;

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Researcher's Guide to Heat Conduction

electromagnetic or mechanical effects and also, numerical methods for solving heat conduction equations. Other topics discussed in the book include;

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Rank-Deficient and Discrete Ill-Posed Problems

Here is an overview of modern computational stabilization methods for linear inversion, with applications to a variety of problems in audio;

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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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Inverse Problems

then moves on to the discretization of inverse problems, which is a prerequisite for solving them on computers. Readers will be well-prepared;

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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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Advances in Computational Mathematics

University, People's Republic of China. Nearly 90 international mathematicians examine numerical optimization methods, wavelet analysis;

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Computational Methods for Electromagnetic Inverse Scattering

A comprehensive and updated overview of the theory, algorithms and applications of for electromagnetic inverse scattering problems;

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Inverse Methods in Physical Oceanography

earth satellites. Oceanographers are increasingly turning to inverse methods for combining these observations with numerical models of ocean;

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Inverse Methods in Physical Oceanography

earth satellites. Oceanographers are increasingly turning to inverse methods for combining these observations with numerical models of ocean;

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Advanced Mechatronics

numerical examples illustrate current approaches used for solving practical inverse problems.;

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Regularization Algorithms for Ill-Posed Problems

operator equations, both linear and nonlinear. These approximation schemes form a basis for implementable numerical algorithms for the stable;

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Parameter Estimation and Inverse Problems

the details of particular numerical methods. Updates to the new edition include more discussions of Laplacian smoothing, an expansion of basis;

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