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Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems

Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems is the first book in which two new concepts of numerical;

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Inverse Problems in the Mathematical Sciences

, posed as coefficient determination problems in differential equations; the functional analytic framework for inverse problems; and a survey;

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Applications of Elliptic Carleman Inequalities to Cauchy and Inverse Problems

Cauchy problems and are also useful in proving stability estimates for certain elliptic inverse problems. The book presents three inverse;

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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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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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Creating Materials with a Desired Refraction Coefficient

Creating Materials with a Desired Refraction Coefficient provides a recipe for creating materials with a desired refraction coefficient;

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Creating Materials with a Desired Refraction Coefficient

Creating Materials with a Desired Refraction Coefficient provides a recipe for creating materials with a desired refraction coefficient;

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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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Inverse Problems in Physical Diagnostics

procedure for physicists, but, because there is no proportionality between data and solution errors in ill-posed problems, such approach;

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Introduction to Inverse Problems for Differential Equations

This book presents a systematic exposition of the main ideas and methods in treating inverse problems for PDEs arising in basic;

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Introduction to Inverse Problems for Differential Equations

This book presents a systematic exposition of the main ideas and methods in treating inverse problems for PDEs arising in basic;

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New Trends in Parameter Identification for Mathematical Models

regularization methods in Hilbert and Banach spaces for the stable approximate solution of ill-posed inverse problems, novel methods for parameter;

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An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

that arise in their applications. An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems includes: many;

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Approximate Deconvolution Models of Turbulence

This volume presents a mathematical development of a recent approach to the modeling and simulation of turbulent flows based on methods for;

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Inverse Problems And Applications

of medical and other imaging techniques, which are used for early detection of cancer and pulmonary edema, location of oil and mineral deposits;

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Optimal Path and Trajectory Planning for Serial Robots

Alexander Reiter describes optimal path and trajectory planning for serial robots in general, and rigorously treats the challenging;

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Approximate Iterative Algorithms

bounds and convergence rates, and for the optimal design of such algorithms. Techniques of functional analysis are used to derive analytical;

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Approximate Iterative Algorithms

bounds and convergence rates, and for the optimal design of such algorithms. Techniques of functional analysis are used to derive analytical;

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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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Numerical Methods for Inverse Problems

and imaging inverse problems. It includes a variety of numerical methods for solving inverse problems such as that of the Tikhonov;

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Finite Volumes for Complex Applications IV

include: Theoretical and numerical results * theoretical foundation * convergence * new finite volume schemes * adaptivity * higher order;

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Particle Swarm Optimisation: Classical and Quantum Perspectives

) algorithm. This globally convergent algorithm has fewer parameters, a faster convergence rate, and stronger searchability for complex problems;

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Particle Swarm Optimisation: Classical and Quantum Perspectives

) algorithm. This globally convergent algorithm has fewer parameters, a faster convergence rate, and stronger searchability for complex problems. 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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Inverse Heat Transfer

This book introduces the fundamental concepts of inverse heat transfer solutions and their applications for solving problems in convective;

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Inverse Boundary Spectral Problems

eigenvalues and the boundary values of the eigenfunctions? Along with this problem, many inverse problems for heat and wave equations are solved;

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Inverse Boundary Spectral Problems

eigenvalues and the boundary values of the eigenfunctions? Along with this problem, many inverse problems for heat and wave equations are solved;

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