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Numerical Methods for Inverse Problems

regularization; finite differences; and orthogonal decomposition; as well as those based on Bayesian inference, artificial neural networks, and quantum;

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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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Bayesian Approach to Inverse Problems

problems and regularized solutions using the Bayesian statistical tools, with a particular view to signal and image estimation. The first three;

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An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

examples that explain techniques which are useful to address general problems arising in uncertainty quantification; Bayesian and non-Bayesian;

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Bayesian Inverse Problems

. Understand Bayesian methods including filtering techniques, Bayesian networks, etc., and their use in engineering systems analysis. Learn to;

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Inverse Heat Transfer

the Bayesian framework of statistics for the solution of inverse problems. By modernizing the classic work of the late Professor M. Necati;

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Bayesian Missing Data Problems

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through;

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Bayesian Missing Data Problems

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through;

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Large-Scale Inverse Problems and Quantification of Uncertainty

Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and;

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Bayesian Field Theory

prediction. Ask a Bayesian, and he will examine the coin, conclude that it was probably not tampered with, and predict five hundred heads in a;

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Maximum Entropy and Bayesian Methods

This volume contains the proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods, held in Sante Fe, New;

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Inverse Problems in the Mathematical Sciences

Inverse problems are immensely important in modern science and technology. However, the broad mathem;...

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Inverse Problems in Engineering Mechanics III

Inverse Problems are found in many areas of engineering mechanics and there are many successful appl;...

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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 dif;...

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Inverse Problems in Electric Circuits and Electromagnetics

This is the first book to offer a comprehensive exploration of new methods in inverse problems in el;...

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An Introduction to Inverse Problems with Applications

Computational engineering/science uses a blend of applications, mathematical models and computations;...

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An Introduction to the Mathematical Theory of Inverse Problems

This graduate-level textbook introduces the reader to the area of inverse problems, vital to many fi;...

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An Introduction to the Mathematical Theory of Inverse Problems

This graduate-level textbook introduces the reader to the area of inverse problems, vital to many fi;...

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Advanced Mechatronics

This unique book extends mechatronics to spatially distributed systems. Issues regarding remote meas;...

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Inverse Boundary Spectral Problems

Inverse boundary problems are a rapidly developing area of applied mathematics with applications thr;...

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Inverse Boundary Spectral Problems

Inverse boundary problems are a rapidly developing area of applied mathematics with applications thr;...

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Inverse problems and related topics

Inverse problems arise in many disciplines and hold great importance to practical applications. Howe;...

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Inverse Problems and Applications

This volume arose from the Third Annual Workshop on Inverse Problems, held in Stockholm on May 2-6, ;...

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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 Nu;...

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Inverse Problems And Applications

Inverse problems lie at the heart of contemporary scientific inquiry and technological development. ;...

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Inverse Problems

This textbook is an introduction to the subject of inverse problems with an emphasis on practical so;...

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Geophysical Data Analysis: Discrete Inverse Theory

confidence intervals Additional material on probability, including Bayesian influence, probability density function, and metropolis;

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