Blockchain : bulle ou révolution ? – Mehta, Neel|Agashe, Adi|Detroja, Parth

Beginning graduate students in mathematical sciences and related areas in physical and computer sciences and engineering are expected to be familiar with a daunting breadth of mathematics, but few have such a background. This bestselling book helps students fill in the gaps in their knowledge. Thomas A. Garrity explains the basic points and a few key results of all the most important undergraduate topics in mathematics, emphasizing the intuitions behind the subject. The explanations are accompanied by numerous examples, exercises and suggestions for further reading that allow the reader to test and develop their understanding of these core topics. Featuring four new chapters and many other improvements, this second edition of All the Math You Missed is an essential resource for advanced undergraduates and beginning graduate students who need to learn some serious mathematics quickly.

This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.

Reactor physics is the discipline devoted to the study of interactions between neutrons and matter in a nuclear reactor. This third edition of Applied Reactor Physics, addresses the fundamentals of reactor physics. Legacy numerical techniques are introduced with sufficient details to help readers implement them in Matlab. The fundamental approaches presented here provide a solid foundation for the more advanced and proprietary techniques that readers may encounter in production environments. Applied Reactor Physics emphasizes the algorithmic nature of the numerical solution techniques used in reactor physics. Many numerical solution approaches described in the book are accompanied by Matlab scripts, and readers are encouraged to write short Matlab scripts of their own in order to solve the end-of-chapter exercises. The third edition includes key improvements in the text, a completely rewritten appendix on numerical methods, new end-of-chapter exercises, and an extended bibliography.