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Computational Methods for Inverse Problems in Imaging

significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms;

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Computational Methods for Inverse Problems in Imaging

significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms;

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Computational Methods for Applied Inverse Problems

of sciences, especially inverse design and novel computational methods for inverse problems. The practical applications include inverse scattering;

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Optimization in Computational Imaging and Inverse Problems

result that one can get with that data and will it be acceptable? We use optimization theory to analyze inverse problems such as this and;

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Applications of the Topological Derivative Method

The book presents new results and applications of the topological derivative method in control theory, topology optimization and inverse;

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Handbook of Convex Optimization Methods in Imaging Science

This book covers recent advances in image processing and imaging sciences from an optimization viewpoint, especially convex optimization;

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Mathematical Methods in Image Processing and Inverse Problems

International Workshop on Image Processing and Inverse Problems, held in Beijing Computational Science Research Center, Beijing, China, April 21-24;

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Large-Scale Inverse Problems and Quantification of Uncertainty

assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications;

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Computational Radiology and Imaging

The articles collected in this volume are based on lectures given at the IMA Workshop, Computational Radiology and Imaging: Therapy and;

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Inverse Problems And Applications

in the Earth's interior, creation of astrophysical images from telescope data, finding cracks and interfaces within materials, shape optimization;

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An Introduction to Capstone in Applied Analysis

, mathematical economics, mathematical biology and optimization via applied and computational inverse problem projects. This book is sequenced as three;

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Inverse Problems

. The computational methods include nonsmooth optimization algorithms, direct inversion methods and uncertainty quantification via Bayesian;

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Dynamical Inverse Problems

identification, active vibration control and damage detection, imaging shear stiffness in biological tissues, wave propagation, to computational and;

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Inverse Problems in Engineering Mechanics III

problems are ill-posed and have to be overcome through development of new computational schemes, regularization techniques, objective functionals;

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Nonlinear Inverse Problems in Imaging

mathematics and engineering. Complete, self-contained coverage includes basic concepts, models, computational methods, numerical simulations, examples;

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Frontiers in Pde-Constrained Optimization

This volume provides a broad and uniform introduction of PDE-constrained optimization as well as to document a number of interesting and;

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Time-dependent Problems in Imaging and Parameter Identification

description and analysis as well as computational approaches for their solution.;

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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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Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9

Residual Stress, Thermomechanics& Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9 of the Proceedings of the 2015SEM;

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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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Numerical Methods for Inverse Problems

problems used in the inference of many physical and engineering systems such as that of the partial differential equations but also the statistical;

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An Introduction to the Topological Derivative Method

optimization, inverse problems, imaging processing, multi-scale material design and mechanical modeling including damage and fracture evolution;

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Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6

Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6 of the Proceedings of the 2019 SEM Annual Conference;

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Computational Intelligence Optimization and Inverse Problems with Applications

Collisions, and Ant Colony Optimization with Dispersion - state-of-the-art approaches for the application of computational intelligence to;

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Microwave Imaging and Electromagnetic Inverse Scattering Problems

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Geometric Science of Information

Information; information geometry optimization; information geometry in image analysis; divergence geometry; optimization on manifold; Lie groups and;

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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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