An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems J. Kevin Nugent This is a stand-out among

This is a stand-out among handbooks

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An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems J. Kevin Nugent This is a stand-out amongInverse problems are found in many applications, such as medical imaging, engineering, astronomy, and geophysics, among others. To solve an inverse problem is to recover an object from noisy, usually indirect observations. Solutions to inverse problems are subject to many potential sources of error introduced by approximate mathematical models, regularization methods, numerical approximations for efficient computations, noisy data, and limitations in