This text offers a mathematically rigorous exposition of the basic theory of marked point processes developing randomly over ...
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This work is devoted to the fixed points of differentiable applications, to the zeros of non-linear systems and to Newton's ...
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This work is devoted to the fixed points of differentiable applications, to the zeros of non-linear systems and to Newton's ...
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Poisson manifolds play a fundamental role in Hamiltonian dynamics, where they serve as phase spaces. They also arise naturally ...
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This book presents important recent developments in mathematical and computational methods used in impedance imaging and ...
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This comprehensive monograph is devoted to the study of polynomially convex sets, which play an important role in the theory ...
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The first half of this book contains the text of the first edition of LNM volume 830, Polynomial Representations of GLn. ...
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This book presents nine survey articles addressing topics surrounding positivity, with an emphasis on functional analysis. ...
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Posn(R) and Eisenstein Series provides an introduction, requiring minimal prerequisites, to the analysis on symmetric spaces ...
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“Modern Analysis” as represented in the works of the Bourbaki group or in the textbooks by Jean Dieudonn´ e is characterized ...
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This text addresses the understanding and alleviation of poverty, inequality, and inequity using a unique and broad mix of ...
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Some economic phenomena are predictable and controllable, and some are impos sible to foresee. Existing economic theories ...
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This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read ...
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Business intelligence and real–time reporting mechanisms play a major role in any of today's forward–looking business ...
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The applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component ...
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This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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Prime numbers beckon to the beginner, as the basic notion of primality is accessible even to children. Yet, some of the simplest ...
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In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
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Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, ...
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