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Differential Equations And Variational Methods On Graphs - With Applications To Machine Learning And Image Analysis

by Jeremy (University Of Birmingham) Budd e Yves (Technische Universiteit Delft, The Netherlands) Van Gennip

~~101,39€~~ 91,25€ 10% OFF

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 A detailed overview of differential equations on graphs, suitable for researchers and graduate students in mathematical image analysis, mathematical machine learning, and at the interface of calculus of variations and optimisation. Clearly explaining the basics, and covering diverse applications, this is the perfect introduction to a rich field.
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Discrete Variational Problems With Interfaces

by Andrea (Scuola Internazionale Superiore Di Studi Avanzati, Trieste) Braides, Marco (Technische Universitat Munchen) Cicalese, Margherita (Universita Degli Studi Di Sassari, Sardinia) Solci e Roberto (Universita Degli Studi Di Napoli 'Federico Ii') Alicandro

~~127,08€~~ 114,37€ 10% OFF

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 This text presents a complete treatment of variational problems on discrete sets with an overall behavior driven by surface energies. Covering both applications and perspectives, it can be used as an advanced graduate course text, as well as a reference for mathematical analysts and applied mathematicians working in related fields.
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Geometry Of The Phase Retrieval Problem - Graveyard Of Algorithms

by Alexander H. Barnett, Charles L. Epstein, Jeremy Magland e Leslie Greengard

137,80€ + 10% CARD

 Recovering the phase of the Fourier transform is a ubiquitous problem in imaging applications. This book introduces a conceptual, geometric framework for the analysis of these problems, and, using this framework, both analyzes well-known algorithms and introduces new approaches for phase retrieval.
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Geometry Of The Phase Retrieval Problem - Graveyard Of Algorithms

by Alexander H. Barnett, Charles L. Epstein, Jeremy Magland e Leslie Greengard

140,60€ + 10% CARD

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 Recovering the phase of the Fourier transform is a ubiquitous problem in imaging applications. This book introduces a conceptual, geometric framework for the analysis of these problems, and, using this framework, both analyzes well-known algorithms and introduces new approaches for phase retrieval.
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The Christoffelâ€“Darboux Kernel For Data Analysis

by Edouard (Institut De Recherche En Informatique, Toulouse) Pauwels, Jean Bernard Lasserre e Mihai (University Of California, Santa Barbara) Putinar

59,48€ + 10% CARD

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 This book is the first to give an accessible overview of the Christoffelâ€"Darboux kernel as a novel, powerful, yet simple, tool in statistical data analysis. It offers non-expert, graduate-level readers a rapid and informative introduction to an inter-disciplinary subject, with numerous ramifications and intriguing open questions.
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Operator-Adapted Wavelets, Fast Solvers, And Numerical Homogenization - From A Game Theoretic Approach To Numerical Approximation And Algorithm Design

by Clint Scovel e Houman Owhadi

204,05€ + 10% CARD

 This book, meant for graduate students and researchers, explores the connections between numerical approximation and statistical inference from a game and decision theoretic perspective, and illustrates these interplays by addressing problems related to numerical homogenization, operator adapted wavelets, and fast solvers.
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Operator-Adapted Wavelets, Fast Solvers, And Numerical Homogenization - From A Game Theoretic Approach To Numerical Approximation And Algorithm Design

by Clint (California Institute Of Technology) Scovel e Houman (California Institute Of Technology) Owhadi

208,19€ + 10% CARD

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 This book, meant for graduate students and researchers, explores the connections between numerical approximation and statistical inference from a game and decision theoretic perspective, and illustrates these interplays by addressing problems related to numerical homogenization, operator adapted wavelets, and fast solvers.
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Mathematical Modelling Of The Human Cardiovascular System - Data, Numerical Approximation, Clinical Applications

by Alfio Quarteroni, Andrea Manzoni, Christian Vergara e Luca Dede'

116,60€ + 10% CARD

 The mathematical modelling of the human cardiovascular system, from patient data to clinical applications, is discussed in this book. It gives researchers an overview of the main differential problems underlying the physiology and pathology of the cardiovascular system, as well as rigorous numerical methods for large-scale computation.
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Mathematical Modelling Of The Human Cardiovascular System - Data, Numerical Approximation, Clinical Applications

by Alfio (Politecnico Di Milano) Quarteroni, Andrea (Politecnico Di Milano) Manzoni, Christian (Politecnico Di Milano) Vergara e Luca (Politecnico Di Milano) Dede'

118,97€ + 10% CARD

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 The mathematical modelling of the human cardiovascular system, from patient data to clinical applications, is discussed in this book. It gives researchers an overview of the main differential problems underlying the physiology and pathology of the cardiovascular system, as well as rigorous numerical methods for large-scale computation.
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Numerical Bifurcation Analysis Of Maps - From Theory To Software

by Hil G. E. (University Of Twente, Enschede, The Netherlands) Meijer e Yuri A. (Universiteit Utrecht, The Netherlands) Kuznetsov

190,61€ + 10% CARD

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 This book combines a comprehensive treatment of bifurcations of discrete-time dynamical systems with concrete instruction on implementations and applications in the free MATLABÂ® software MatContM. While self-contained and suitable for independent study, it is also written with users in mind and will be an invaluable reference for practitioners.
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Multivariate Approximation

by V. (University Of South Carolina) Temlyakov

137,89€ + 10% CARD

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 Starting from classical linear approximation, this is a self-contained presentation of modern multivariate approximation theory that explores its connections with other areas of mathematics. The prerequisites are no more than standard undergraduate mathematics, so the book will be accessible to graduate students and non-specialists.
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Volterra Integral Equations - An Introduction To Theory And Applications

by Hermann Brunner

116,60€ + 10% CARD

 This book offers a comprehensive introduction to the theory of linear and nonlinear Volterra integral equations (VIEs), from Volterra's fundamental contributions and resulting classical theory to more recent developments. It includes Volterra functional integral equations with various kinds of delays, VIEs with highly oscillatory kernels, and VIEs with non-compact operators.
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Partial Differential Equation Methods For Image Inpainting

by Carola-Bibiane Schonlieb

133,83€ + 10% CARD

 This book introduces the mathematical concept of partial differential equations (PDEs) for virtual image restoration.
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Difference Equations By Differential Equation Methods

by Peter E. Hydon

60,95€ + 10% CARD

 Many texts teach solution methods for differential equations, but this is the first that explains how to extend these methods to difference equations. It assumes no prior knowledge of difference equations, making it ideal for newcomers, but also contains much new material that will interest researchers in the field.
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Algebraic Geometry And Statistical Learning Theory

by Sumio Watanabe

111,30€ + 10% CARD

 Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models are singular: mixture models, neural networks, HMMs, and Bayesian networks are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.
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Volterra Integral Equations - An Introduction To Theory And Applications

by Hermann (Hong Kong Baptist University) Brunner

118,97€ + 10% CARD

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 This book offers a comprehensive introduction to the theory of linear and nonlinear Volterra integral equations (VIEs), from Volterra's fundamental contributions and resulting classical theory to more recent developments. It includes Volterra functional integral equations with various kinds of delays, VIEs with highly oscillatory kernels, and VIEs with non-compact operators.
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Multiscale Methods For Fredholm Integral Equations

by Charles A. (State University Of New York, Albany) Micchelli, Yuesheng Xu e Zhongying Chen

233,87€ + 10% CARD

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 The authors present the state of the art in fast multiscale methods, from traditional numerical methods to the recently developed wavelet-based approach. Theorems of functional analysis used throughout the book are summarised in an appendix. Selected chapters are suitable for a one-semester course for advanced undergraduates or beginning graduates.
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Difference Equations By Differential Equation Methods

by Peter E. (University Of Surrey) Hydon

62,19€ + 10% CARD

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 Many texts teach solution methods for differential equations, but this is the first that explains how to extend these methods to difference equations. It assumes no prior knowledge of difference equations, making it ideal for newcomers, but also contains much new material that will interest researchers in the field.
ENGLISH

Geometry And Topology For Mesh Generation

by Herbert (Duke University, North Carolina) Edelsbrunner

163,58€ + 10% CARD

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 Mesh generation combines different approaches to problem solving from mathematics, computer science, and engineering. This book emphasizes topics that are elementary, attractive, useful, interesting, and lend themselves to teaching, making it an ideal graduate text for courses on mesh generation.
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Modern Computer Arithmetic

by Paul Zimmermann e Richard P. (Australian National University, Canberra) Brent

136,54€ + 10% CARD

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 Modern Computer Arithmetic focuses on arbitrary-precision algorithms for efficiently performing arithmetic operations such as addition, multiplication and division, and related topics such as modular arithmetic. The authors present algorithms that are ready to implement in your favourite language, while keeping a high-level description and avoiding too low-level or machine-dependent details.
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Curve And Surface Reconstruction - Algorithms With Mathematical Analysis

by Tamal K. (Ohio State University) Dey

62,19€ + 10% CARD

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 After developing the basics of a sampling theory and its connections to various geometric and topological properties, the author describes a suite of algorithms that have been designed for the reconstruction problem, including algorithms for surface reconstruction from dense samples, from samples that are not adequately dense and from noisy samples.
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Generalized Riemann Problems In Computational Fluid Dynamics

by Joseph (Hebrew University Of Jerusalem) Falcovitz e Matania (Hebrew University Of Jerusalem) Ben-Artzi

62,19€ + 10% CARD

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 This monograph presents the GRP algorithm and is accessible to researchers and graduate students alike.
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Scattered Data Approximation

by Holger (Georg-August-Universitat, Gottingen, Germany) Wendland

89,22€ + 10% CARD

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 A complete self-contained introduction to the theory of scattered data approximation. Written with graduates and researchers in mind, the text brings together much of the necessary background material into a single treatment and provides students with complete proofs to the theory developed within.
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A Practical Guide To The Invariant Calculus - An Introduction To Theory And Applications

by Elizabeth Louise (University Of Kent, Canterbury) Mansfield

112,21€ + 10% CARD

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 This book explains and develops new applications of continuous symmetry groups (Lie groups), in particular, the symbolic manipulation of invariants of group actions. The language used is primarily that of undergraduate calculus. More sophisticated ideas from differential topology and Lie theory are explained from scratch using worked examples and exercises.
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