This book presents nine survey articles addressing topics surrounding positivity, with an emphasis on functional analysis. ...
WeiterlesenPosn(R) and Eisenstein Series provides an introduction, requiring minimal prerequisites, to the analysis on symmetric spaces ...
Weiterlesen“Modern Analysis” as represented in the works of the Bourbaki group or in the textbooks by Jean Dieudonn´ e is characterized ...
WeiterlesenThis text addresses the understanding and alleviation of poverty, inequality, and inequity using a unique and broad mix of ...
WeiterlesenSome economic phenomena are predictable and controllable, and some are impos sible to foresee. Existing economic theories ...
WeiterlesenThis book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read ...
WeiterlesenBusiness intelligence and real–time reporting mechanisms play a major role in any of today's forward–looking business ...
WeiterlesenThe applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component ...
WeiterlesenThe fields of similarity and preference are still broadening due to the exploration of new fields of application. This is ...
WeiterlesenThis book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
WeiterlesenThis book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
WeiterlesenPrime numbers beckon to the beginner, as the basic notion of primality is accessible even to children. Yet, some of the simplest ...
WeiterlesenIn 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
WeiterlesenThrough a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, ...
WeiterlesenPrinciples of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of ...
WeiterlesenEmphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many ...
WeiterlesenConstitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2008, held ...
WeiterlesenConditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence ...
WeiterlesenSoils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic ...
WeiterlesenProbabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, ...
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