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Moduli theory --- Smoothness of functions --- Variétés topologiques à 4 dimensions --- Modules, théorie des --- 517.5 --- Smooth functions --- Functions --- Theory of moduli --- Analytic spaces --- Functions of several complex variables --- Geometry, Algebraic --- Theory of functions --- Moduli theory. --- Smoothness of functions. --- 517.5 Theory of functions --- Variétés topologiques à 4 dimensions --- Modules, théorie des --- Fonctions d'une variable reelle --- Approximation
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Smoothness of functions. --- Smooth functions --- Functions --- Funcions --- Càlcul diferencial --- Càlcul --- Càlcul integral --- Funcions (Matemàtica) --- Funcions matemàtiques --- Anàlisi matemàtica --- Teoria de conjunts --- Aplicacions (Matemàtica) --- Constants matemàtiques --- Convergència (Matemàtica) --- Convolucions (Matemàtica) --- Funcions algebraiques --- Funcions contínues --- Funcions discontínues --- Funcions d'ona --- Funcions especials --- Teoria de l'aproximació --- Superfícies de Riemann
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These notes, based on lectures delivered in Saint Flour, provide an easy introduction to the authors’ 2007 Springer monograph “Random Fields and Geometry.” While not as exhaustive as the full monograph, they are also less exhausting, while still covering the basic material, typically at a more intuitive and less technical level. They also cover some more recent material relating to random algebraic topology and statistical applications. The notes include an introduction to the general theory of Gaussian random fields, treating classical topics such as continuity and boundedness. This is followed by a quick review of geometry, both integral and Riemannian, with an emphasis on tube formulae, to provide the reader with the material needed to understand and use the Gaussian kinematic formula, the main result of the notes. This is followed by chapters on topological inference and random algebraic topology, both of which provide applications of the main results.
Gaussian processes --- Random fields --- Mathematics --- Physical Sciences & Mathematics --- Calculus --- Mathematical Statistics --- Geometry --- Smoothness of functions. --- Stochastic processes. --- Functions. --- Analysis (Mathematics) --- Random processes --- Smooth functions --- Mathematics. --- Geometry. --- Statistics. --- Statistical Theory and Methods. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Euclid's Elements --- Math --- Science --- Differential equations --- Mathematical analysis --- Numbers, Complex --- Set theory --- Probabilities --- Functions --- Mathematical statistics. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Sampling (Statistics) --- Statistics .
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Functional analysis -- Linear function spaces and their duals -- Sobolev spaces and other spaces of "smooth" functions, embedding theorems, trace theorems. --- Harmonic analysis on Euclidean spaces -- Harmonic analysis in several variables -- Maximal functions, Littlewood-Paley theory. --- Harmonic analysis. --- Inequalities (Mathematics). --- Partial differential equations -- General topics -- Inequalities involving derivatives and differential and integral operators, inequalities for integrals. --- Partial differential equations -- General topics -- Variational methods. --- Real functions -- Inequalities -- Inequalities involving derivatives and differential and integral operators.
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Mathematical analysis --- 517.54 --- 51 <082.1> --- Conformal mapping and geometric problems in the theory of functions of a complex variable. Analytic functions and their generalizations --- Mathematics--Series --- 517.54 Conformal mapping and geometric problems in the theory of functions of a complex variable. Analytic functions and their generalizations --- Harmonic functions. --- Green's functions. --- Inequalities (Mathematics) --- Smoothness of functions. --- Fonctions harmoniques. --- Green, Fonctions de. --- Inégalités (mathématiques) --- Fonctions de lissage. --- Green's functions --- Harmonic functions --- Smoothness of functions --- Smooth functions --- Functions --- Processes, Infinite --- Functions, Harmonic --- Laplace's equations --- Bessel functions --- Differential equations, Partial --- Fourier series --- Harmonic analysis --- Lamé's functions --- Spherical harmonics --- Toroidal harmonics --- Functions, Green's --- Functions, Induction --- Functions, Source --- Green functions --- Induction functions --- Source functions --- Differential equations --- Potential theory (Mathematics)
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We study in Part I of this monograph the computational aspect of almost all moduli of continuity over wide classes of functions exploiting some of their convexity properties. To our knowledge it is the first time the entire calculus of moduli of smoothness has been included in a book. We then present numerous applications of Approximation Theory, giving exact val ues of errors in explicit forms. The K-functional method is systematically avoided since it produces nonexplicit constants. All other related books so far have allocated very little space to the computational aspect of moduli of smoothness. In Part II, we study/examine the Global Smoothness Preservation Prop erty (GSPP) for almost all known linear approximation operators of ap proximation theory including: trigonometric operators and algebraic in terpolation operators of Lagrange, Hermite-Fejer and Shepard type, also operators of stochastic type, convolution type, wavelet type integral opera tors and singular integral operators, etc. We present also a sufficient general theory for GSPP to hold true. We provide a great variety of applications of GSPP to Approximation Theory and many other fields of mathemat ics such as Functional analysis, and outside of mathematics, fields such as computer-aided geometric design (CAGD). Most of the time GSPP meth ods are optimal. Various moduli of smoothness are intensively involved in Part II. Therefore, methods from Part I can be used to calculate exactly the error of global smoothness preservation. It is the first time in the literature that a book has studied GSPP.
Smoothness of functions --- Moduli theory --- Approximation theory --- 517.518.8 --- Smooth functions --- Functions --- Theory of moduli --- Analytic spaces --- Functions of several complex variables --- Geometry, Algebraic --- Theory of approximation --- Functional analysis --- Polynomials --- Chebyshev systems --- Approximation of functions by polynomials and their generalizations --- Approximation theory. --- Moduli theory. --- Smoothness of functions. --- 517.518.8 Approximation of functions by polynomials and their generalizations --- Applied mathematics. --- Engineering mathematics. --- Global analysis (Mathematics). --- Manifolds (Mathematics). --- Mathematical analysis. --- Analysis (Mathematics). --- Computer mathematics. --- Applications of Mathematics. --- Approximations and Expansions. --- Global Analysis and Analysis on Manifolds. --- Analysis. --- Computational Mathematics and Numerical Analysis. --- Computer mathematics --- Electronic data processing --- Mathematics --- 517.1 Mathematical analysis --- Mathematical analysis --- Geometry, Differential --- Topology --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Engineering --- Engineering analysis
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Many phenomena in engineering and mathematical physics can be modeled by means of boundary value problems for a certain elliptic differential operator in a given domain. When the differential operator under discussion is of second order a variety of tools are available for dealing with such problems, including boundary integral methods, variational methods, harmonic measure techniques, and methods based on classical harmonic analysis. When the differential operator is of higher-order (as is the case, e.g., with anisotropic plate bending when one deals with a fourth order operator) only a few options could be successfully implemented. In the 1970s Alberto Calderón, one of the founders of the modern theory of Singular Integral Operators, advocated the use of layer potentials for the treatment of higher-order elliptic boundary value problems. The present monograph represents the first systematic treatment based on this approach. This research monograph lays, for the first time, the mathematical foundation aimed at solving boundary value problems for higher-order elliptic operators in non-smooth domains using the layer potential method and addresses a comprehensive range of topics, dealing with elliptic boundary value problems in non-smooth domains including layer potentials, jump relations, non-tangential maximal function estimates, multi-traces and extensions, boundary value problems with data in Whitney–Lebesque spaces, Whitney–Besov spaces, Whitney–Sobolev- based Lebesgue spaces, Whitney–Triebel–Lizorkin spaces,Whitney–Sobolev-based Hardy spaces, Whitney–BMO and Whitney–VMO spaces.
Boundary value problems --- Differential equations, Elliptic --- Lipschitz spaces --- Smoothness of functions --- Calderâon-Zygmund operator --- Mathematics --- Civil & Environmental Engineering --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Calculus --- Operations Research --- Mathematical Theory --- Smooth functions --- Hölder spaces --- Elliptic differential equations --- Elliptic partial differential equations --- Linear elliptic differential equations --- Boundary conditions (Differential equations) --- Mathematics. --- Fourier analysis. --- Integral equations. --- Partial differential equations. --- Potential theory (Mathematics). --- Potential Theory. --- Partial Differential Equations. --- Integral Equations. --- Fourier Analysis. --- Boundary value problems. --- Differential equations, Elliptic. --- Lipschitz spaces. --- Smoothness of functions. --- Calderón-Zygmund operator. --- Calderón-Zygmund singular integral operator --- Mikhlin-Calderon-Zygmund operator --- Operator, Calderón-Zygmund --- Singular integral operator, Calderón-Zygmund --- Zygmund-Calderón operator --- Linear operators --- Functions --- Function spaces --- Differential equations, Linear --- Differential equations, Partial --- Differential equations --- Functions of complex variables --- Mathematical physics --- Initial value problems --- Differential equations, partial. --- Analysis, Fourier --- Mathematical analysis --- Equations, Integral --- Functional equations --- Functional analysis --- Partial differential equations --- Green's operators --- Green's theorem --- Potential functions (Mathematics) --- Potential, Theory of --- Mechanics
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Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.
Statistical science --- Operational research. Game theory --- Mathematical statistics --- stochastische analyse --- informatietechnologie --- statistisch onderzoek --- Statistics --- Computer Science --- Smoothness of functions --- Nonconvex programming --- Least absolute deviations (Statistics) --- Linear models (Statistics) --- Mathematical statistics. --- Computer science. --- Statistical Theory and Methods. --- Probability and Statistics in Computer Science. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Informatics --- Science --- Statistical methods --- Statistique mathématique --- Modules, théorie des --- Programmation non convexe --- Modèles linéaires (Statistique) --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- Statistics . --- Statistical analysis --- Statistical data --- Econometrics --- 303.0 --- 304.0 --- 305.976 --- AA / International- internationaal --- 519.2 --- Smooth functions --- Functions --- Global optimization --- Non-convex programming --- Programming (Mathematics) --- Models, Linear (Statistics) --- Mathematical models --- Absolute deviations, Least (Statistics) --- Absolute values, Least (Statistics) --- Deviations, Least absolute (Statistics) --- LAD (Statistics) --- Least absolute values (Statistics) --- Values, Least absolute (Statistics) --- Least squares --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Algoritmen. Optimisatie --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics
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