Poisson Structures and Their Normal Forms
Poisson manifolds play a fundamental role in Hamiltonian dynamics, where they serve as phase spaces. They also arise naturally ...
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Polarization and Moment Tensors
This book presents important recent developments in mathematical and computational methods used in impedance imaging and ...
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Polymer Engineering Science and Viscoelasticity
Polymer Engineering Science and Viscoelasticity: An Introduction provides a unified mechanics and materials perspective on ...
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Polynomial Convexity
This comprehensive monograph is devoted to the study of polynomially convex sets, which play an important role in the theory ...
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Polynomial Representations of GL_n
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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Positive Polynomials in Control
Positive Polynomials in Control gives a comprehensive overview of existing results in this quickly emerging area. This book ...
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Positivity
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
Posn(R) and Eisenstein Series provides an introduction, requiring minimal prerequisites, to the analysis on symmetric spaces ...
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Postmodern Analysis
“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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Potential Theory in Applied Geophysics
The book introduces the principles of gravitational, magnetic, electrostatic, direct current electrical and electromagnetic ...
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Powerful Pedagogy : Self-Study of a Teacher Educator's Practice
Powerful Pedagogy: Self-Study of a Teacher Educator’s Practice is the outcome of the author’s systematically questioning ...
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Practical Grey-box Process Identification
The first part of the book is a short review of the theoretical fundamentals of grey-box identification, focussing particularly ...
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Practical Mathematical Optimization
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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Premiers pas en statistique
This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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Premiers pas en statistique
This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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Prime Numbers
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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Principal Manifolds for Data Visualization and Dimension Reduction
In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
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Principles of Data Mining
This book explains and explores the principal techniques of Data Mining: for classification, generation of association rules ...
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Principles of Mathematics in Operations Research
Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of ...
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Probabilistic Symmetries and Invariance Principles
This is the first comprehensive treatment of the three basic symmetries of probability theory—contractability, exchangeability, ...
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