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Inverse Imaging with Poisson Data: From cells to galaxies

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Inverse Imaging with Poisson Data

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Computational Methods for Applied Inverse Problems

related to mathematics, physics, geophysics, geochemistry, oceanography, geography and remote sensing, astronomy, biomedicine, and other areas;

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Nonlinear inverse finite element methods in electrical tomography

forward and inverse porblems are given. Experimental data from electrical impedance tomography, electrical capacitance tomography and;

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Introduction to Imaging from Scattered Fields

Obtain the Best Estimate of a Strongly Scattering Object from Limited Scattered Field Data Introduction to Imaging from Scattered;

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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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Nonlinear Inverse Problems in Imaging

This book provides researchers and engineers in the imaging field with the skills they need to effectively deal with nonlinear inverse;

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Introduction to Imaging from Scattered Fields

Obtain the Best Estimate of a Strongly Scattering Object from Limited Scattered Field Data Introduction to Imaging from Scattered Fields;

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Seismic Imaging and Inversion

Extracting information from seismic data requires knowledge of seismic wave propagation and reflection. The commonly used method involves;

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Seismic Imaging And Inversion: Volume 1

Extracting information from seismic data requires knowledge of seismic wave propagation and reflection. The commonly used method involves;

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Statistical Computing in Nuclear Imaging

data and Poisson approximations, are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed;

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Statistical Computing in Nuclear Imaging

data and Poisson approximations, are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed;

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Computational Methods for Inverse Problems in Imaging

This book presents recent mathematical methods in the area of inverse problems in imaging with a particular focus on the computational;

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Computational Methods for Inverse Problems in Imaging

This book presents recent mathematical methods in the area of inverse problems in imaging with a particular focus on the computational;

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Bayesian Approach to Inverse Problems

problem of non-destructive evaluation. The concept of inverse problems precisely originates from the idea of inverting the laws of physics to;

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Time-dependent Problems in Imaging and Parameter Identification

Inverse problems such as imaging or parameter identification deal with the recovery of unknown quantities from indirect observations;

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Inverse Synthetic Aperture Radar Imaging

targets, how to produce well-focused ISAR images of moving targets, and what features that can extracted from ISAR images. Also introduced are;

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Software Reliability Growth Models

included from the scratch to recent developments, applicable in artificial neural networks, machine learning, artificial intelligence, data-driven;

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Software Reliability Growth Models

included from the scratch to recent developments, applicable in artificial neural networks, machine learning, artificial intelligence, data-driven;

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

Annual Conference & Exposition on Experimental and Applied Mechanics, the ninth volume of nine from the Conference, brings together contributions;

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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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An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

physical sciences. The material spans from undergraduate statistics and probability to data analysis for inverse problems and probability;

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Applications of Elliptic Carleman Inequalities to Cauchy and Inverse Problems

This book presents a unified approach to studying the stability of both elliptic Cauchy problems and selected inverse problems. Based on;

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Integrated Imaging Of The Earth Coupled

of how to best integrate different geophysical datasets with geological prior understanding and other complimentary data. This foundational basis;

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Point Sources and Multipoles in Inverse Scattering Theory

inverse scattering. The study of inverse scattering, in particular, has developed rapidly with the ability to perform computational simulations;

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Point Sources and Multipoles in Inverse Scattering Theory

inverse scattering. The study of inverse scattering, in particular, has developed rapidly with the ability to perform computational simulations;

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Data Assimilation

Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places;

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