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Numerical Methods in Approximation Theory

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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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Modeling and Analysis of Modern Fluid Problems

literature across nonlinear approximation theory. It covers Pad approximation theory, embedded-parameters perturbation, Adomian decomposition;

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Numerical Methods for Stochastic Computations

, efficient, and accurate numerical methods * Polynomial approximation theory and probability theory included * Basic gPC methods illustrated;

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Approximation with Quasi-Splines

highly useful technique in numerical analysis. The book presents the requisite approximation theorems and optimization methods, developing a;

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Computational Mathematics and Variational Analysis

, operations research, game theory, differential equations, functional analysis, operator theory, approximation theory, numerical analysis, asymptotic;

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Weighted Polynomial Approximation and Numerical Methods for Integral Equations

The book presents a combination of two topics: one coming from the theory of approximation of functions and integrals by interpolation and;

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Weighted Polynomial Approximation and Numerical Methods for Integral Equations

The book presents a combination of two topics: one coming from the theory of approximation of functions and integrals by interpolation and;

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Splines and PDEs: From Approximation Theory to Numerical Linear Algebra

theory to structured numerical linear algebra. More precisely, the book provides (i) a self-contained introduction to B-splines, with special;

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Classical and Modern Numerical Analysis

of nonlinear equations, numerical linear algebra, ordinary differential equations, approximation theory, numerical integration, and boundary value;

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Tensor Numerical Methods in Scientific Computing

coefficients. Contents Theory on separable approximation of multivariate functions Multilinear algebra and nonlinear tensor approximation;

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An Introduction to the Approximation of Functions

significant of these methods, with particular emphasis on approximation by polynomials.Because approximation theory is an area of mathematics;

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Applied Functional Analysis. Approximation Methods and Computers

This book contains the most remarkable papers of L.V. Kantorovich in applied and numerical mathematics. It explores the principal;

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Dynamical Systems and Numerical Analysis

elements of the theory of dynamical systems and the numerical solution of initial-value problems. In the remaining chapters, numerical methods are;

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Numerical Fourier Analysis

approximation using Fourier methods. It starts with a detailed discussion of classical Fourier theory to enable readers to grasp the construction;

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Numerical Computations: Theory and Algorithms

The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical;

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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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Low Rank Approximation

This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local;

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Numerical Analysis with Algorithms and Programming

standard algorithms for numerical computation: Root finding for nonlinear equations Interpolation and approximation of functions;

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Cambridge Monographs on Applied and Computational Mathematics

elements of the theory of dynamical systems and the numerical solution of initial-value problems. In the remaining chapters, numerical methods are;

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Approximation and Modeling with B-Splines

B-splines are fundamental to approximation and data fitting, geometric modeling, automated manufacturing, computer graphics, and numerical;

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Approximation

polynomials, splines, and operators, and applications to stochastics; numerical methods for approximation of deterministic and stochastic integrals;

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Adaptive Stochastic Methods

of Adaptive Integration Based on Piecewise Approximation Methods of Adaptive Integration Based on Global Approximation Numerical Experiments;

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Numerical Analysis 1999

approximation theory and contain contributions from the leading experts in the field. The applications range from image processing and molecular;

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Sparse Approximation with Bases

approximation. Taking into account the theoretical and practical demand for this kind of theory, the book systematically elaborates a theoretical;

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Numerical Methods and Methods of Approximation in Science and Engineering

Numerical Methods and Methods of Approximation in Science and Engineering prepares students and other readers for advanced studies;

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Spline Functions on Triangulations

Spline functions are universally recognized as highly effective tools in approximation theory, computer-aided geometric design, image;

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