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Mathematical Methods in Image Processing and Inverse Problems

methods and techniques were discussed. The state-of-the-art developments on mathematical analysis, advanced modeling, efficient algorithm and;

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Handbook of Convex Optimization Methods in Imaging Science

mathematical methods and foundations required, and covers topics in image quality optimization and assessment. The second part of the book discusses;

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Computational Methods for Inverse Problems in Imaging

aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the;

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Computational Methods for Inverse Problems in Imaging

aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the;

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Computational Methods for Applied Inverse Problems

Nowadays inverse problems and applications in science and engineering represent an extremely active research field. The subjects are;

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An Introduction to Capstone in Applied Analysis

Inverse problems are one of the oldest, most important mathematical problems in science and engineering. However, the field of inverse;

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Statistical Image Processing and Multidimensional Modeling

, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and;

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Statistical Image Processing and Multidimensional Modeling

, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and;

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Inverse Problems in the Mathematical Sciences

Inverse problems are immensely important in modern science and technology. However, the broad mathematical issues raised by inverse;

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Mathematical and Computational Sciences

This is a collection of research materials, discussing mathematical solutions to scientific problems like data mining, computer networks;

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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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Computational Methods for Electromagnetic Inverse Scattering

methods, compressive sensing, and noniterative methods Emphasizes theory, mathematical derivation and physical insights of various inverse;

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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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Sparse Image and Signal Processing

as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators;

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Image Processing

Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB (R;

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Image Processing

Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB (R;

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Optimal Methods for Ill-Posed Problems

in mathematical physics. Contents Modulus of continuity of the inverse operator and methods for solving ill-posed problems Lavrent'ev methods;

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Numerical Methods for Inverse Problems

mathematical and scientific computing background. Despite this, it is a book with a practical perspective. The methods described are applicable, have;

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New Trends in Parameter Identification for Mathematical Models

Program on Parameter Identification in Mathematical Models organized at IMPA in October and November 2017. One goal is to foster the scientific;

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Signal and Image Processing for Remote Sensing

experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from;

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Introduction to Inverse Problems for Differential Equations

mathematical models, though it makes no claim to being exhaustive. Mathematical models of most physical phenomena are governed by initial and boundary;

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Introduction to Inverse Problems for Differential Equations

mathematical models, though it makes no claim to being exhaustive. Mathematical models of most physical phenomena are governed by initial and boundary;

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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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Inverse Sturm-Liouville Problems & Their Applications

This book presents the main results and methods on inverse spectral problems for Sturm-Liouville differential operators and their;

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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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Signal and Image Processing for Remote Sensing

experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from;

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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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