"In this book the authors consider so-called ill-posed problems and stability in statistics. Ill-posed problems are certain results where arbitrary small changes in the assumptions lead to unpredictable large changes in the conclusions. In a companion problem published by Nova, …
"Over the past twenty years, the subject of applied inverse theory (ill-posed problems) has expanded from a collection of individual techniques to a rich, highly developed branch of applied mathematics. The Mollification Method and the Numerical Solution of Ill-Posed Problems of…
Uses a strong computational and truly interdisciplinary treatment to introduce applied inverse theory. The author created the Mollification Method as a means of dealing with ill-posed problems. Although the presentation focuses on problems with origins in mechanical engineering,…