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Multivariate Approximation and Applications

approximation such as multi-dimensional splines and finite elements, shift-invariant spaces and radial-basis functions. Approximation theory in the;

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Hyperbolic Cross Approximation

This book provides a systematic survey of classical and recent results on hyperbolic cross approximation. Motivated by numerous;

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New Developments in Approximation Theory

These refereed papers contain developments in univariate and multivariate approximation theory, applications in computer-aided geometrical;

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Multivariate Approximation and Splines

This volume presents refereed papers covering a variety of topics in the growing field of multivariate approximation and slines.;

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Recent Progress in Multivariate Approximation

, approximation by solutions of partial differential equations, application of Riesz bases and frames, multiwavelets and subdivision. The book is an;

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Approximation By Multivariate Singular Integrals

Approximation by Multivariate Singular Integrals is the first monograph to illustrate the approximation of multivariate singular integrals;

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Scattered Data Approximation

, and partitions of unity. The book starts with an overview on typical applications of scattered data approximation, coming from surface;

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Scattered Data Approximation

, and partitions of unity. The book starts with an overview on typical applications of scattered data approximation, coming from surface;

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Topics in Multivariate Approximation and Interpolation

This book is a collection of eleven articles, written by leading experts and dealing with special topics in Multivariate Approximation and;

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Multivariate Approximation for solving ODE and PDE

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Nonlinearity Ordinary and Fractional Approximations by Sublinear and Max Produc

This book focuses on approximations under the presence of ordinary and fractional smoothness, presenting both the univariate and;

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Ridge Functions

of large multivariate data sets, the MLP model in neural networks, Waring's problem over linear forms, and approximation theory. Ridge Functions;

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Constructive Fractional Analysis with Applications

This book includes constructive approximation theory; it presents ordinary and fractional approximations by positive sublinear operators;

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Deep Neural Networks

WASD neuronet models, three-input WASD neuronet models, and general multi-input WASD neuronet models for function data approximations;

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Deep Neural Networks

WASD neuronet models, three-input WASD neuronet models, and general multi-input WASD neuronet models for function data approximations;

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Multivariate Approximation

This self-contained, systematic treatment of multivariate approximation begins with classical linear approximation, and moves on to;

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Frontiers in Interpolation and Approximation

Dedicated to the well-respected research mathematician Ambikeshwar Sharma, Frontiers in Interpolation and Approximation explores;

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Multivariate Polynomial Approximation

Multivariate polynomials are a main tool in approximation. The book begins with an introduction to the general theory by presenting the;

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Approximation Theory and Algorithms for Data Analysis

This textbook offers an accessible introduction to the theory and numerics of approximation methods, combining classical topics;

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Fast Start Advanced Calculus

This book continues the material in two early Fast Start calculus volumes to include multivariate calculus, sequences and series, and a;

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Fast Start Advanced Calculus

This book continues the material in two early Fast Start calculus volumes to include multivariate calculus, sequences and series, and a;

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Multivariate Statistics

applications and research material. Emphasizing that high-dimensional asymptotic distribution can be used for a large range of samples and dimensions;

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Discrete Approximation Theory

In this monograph, we present the authors' recent work of the last seven years in Approximation Theory. Chapters are self-contained and can;

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Statistical Modeling Using Local Gaussian Approximation

most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation;

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Multivariate Wavelet Frames

systems, which preserve many important properties of frames and can often be used in their place, as well as their approximation properties. The;

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Interpolation and Approximation with Splines and fractals

This textbook is intended to supplement the classical theory of uni- and multivariate splines and their approximation and interpolation;

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Tensor Numerical Methods in Scientific Computing

approximation of multivariate functions and operators by using the appropriate tensor formats. The old and new rank-structured tensor formats are;

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