This book describes a useful tool for solving linear inverse problems subject to convex constraints. The method of maximum entropy in the mean automatically takes care of the constraints. It consists of a technique for transforming a large dimensional inverse problem into a small dimensional non-linear variational problem. A variety of mathematical aspects of the maximum entropy method are explored as well.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This book serves as lecture notes and is suitable for a graduate-level course on inverse problems. It covers a broad subject, gives explanations in sufficient detail, and helps readers learn to apply the presented methods. --Mathematical Reviews
This monograph provides a thorough survey of maximum entropy methods for linear inverse problems. It is well written. This text can be recommended to experts as well as graduate students interested in the stochastic connection in inverse problems. --Zentralblatt MATH
This book describes a useful tool for solving linear inverse problems subject to convex constraints. The method of maximum entropy in the mean automatically takes care of the constraints. It consists of a technique for transforming a large dimensional inverse problem into a small dimensional non-linear variational problem. A variety of mathematical aspects of the maximum entropy method are explored as well.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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