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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

This volume presents the main results of the 4th International Conference on Multivariate Approximation, which was held at Witten;

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Multivariate Approximation and Applications

Multivariate approximation theory is today an increasingly active research area. It encompasses a wide range of tools for multivariate;

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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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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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Multivariate Approximation for solving ODE and PDE

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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

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

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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 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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Frontiers in Interpolation and Approximation

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

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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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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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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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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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Multivariate Algorithms and Information-Based Complexity

, ranging from function approximation, numerical integration, numerical methods for the sphere, and algorithms with random information, to Bayesian;

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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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American-Type Options

The book gives a systematical presentation of stochastic approximation methods for discrete time Markov price processes. Advanced methods;

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Lattice Point Identities and Shannon-Type Sampling

subjects, namely elliptic partial differential equations, Fourier inversion theory, constructive approximation involving Euler and Poisson;

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Calculus Problem Solutions with MATLAB (R)

introduced first, followed by the analytical solutions of limit, differentiation, integral and function approximation problems of univariate and;

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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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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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Multivariate Wavelet Frames

desirable approximation order, namely compactly supported wavelet frames, which are commonly required by engineers. It particularly focuses on;

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