Geometry processing, or mesh processing, is a fast-growing area of research that uses concepts from applied mathematics, computer science, and engineering to design efficient algorithms for the acquisition, reconstruction, analysis, manipulation, simulation, and transmission of complex 3D models. Applications of geometry processing algorithms already cover a wide range of areas from multimedia, entertainment, and classical computer-aided design, to biomedical computing, reverse engineering, and scientific computing.

Over the last several years, triangle meshes have become increasingly popular, as irregular triangle meshes have developed into a valuable alternative to traditional spline surfaces. This book discusses the whole geometry processing pipeline based on triangle meshes. The pipeline starts with data input, for example, a model acquired by 3D scanning techniques. This data can then go through processes of error removal, mesh creation, smoothing, conversion, morphing, and more. The authors detail techniques for those processes using triangle meshes. A supplemental website contains downloads and additional information.

Consumers, public officials, and even managers of health care and insurance are unhappy about care quality, access, and costs. This book shows that is because efforts to do something about these problems often rely on hope or conjecture, not rigorous evidence of effectiveness. In this book, experts in the field separate the speculative from the proven with regard to how care is rendered, how patients can be in control, how providers should be paid, and how disparities can be reduced - and they also identify the issues for which evidence is currently missing. It provides an antidote to frustration and a clear-eyed guide for forward progress, helping health care and insurance innovators make better decisions on deciding whether to go ahead now based on current evidence, to seek and wait for additional evidence, or to move on to different ideas. It will be useful to practitioners in hospital systems, medical groups, and insurance organizations and can also be used in executive and MBA teaching.

Consumers, public officials, and even managers of health care and insurance are unhappy about care quality, access, and costs. This book shows that is because efforts to do something about these problems often rely on hope or conjecture, not rigorous evidence of effectiveness. In this book, experts in the field separate the speculative from the proven with regard to how care is rendered, how patients can be in control, how providers should be paid, and how disparities can be reduced - and they also identify the issues for which evidence is currently missing. It provides an antidote to frustration and a clear-eyed guide for forward progress, helping health care and insurance innovators make better decisions on deciding whether to go ahead now based on current evidence, to seek and wait for additional evidence, or to move on to different ideas. It will be useful to practitioners in hospital systems, medical groups, and insurance organizations and can also be used in executive and MBA teaching.