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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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Numerical Methods in Approximation Theory

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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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Approximation Theory and Methods

functions such as polynomials and piecewise polynomials. The general theory of the subject and its application to polynomial approximation are;

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Recent Advances in Constructive Approximation Theory

post quantum and bivariate setting. Methods, techniques, and problems in approximation theory are demonstrated with applications to;

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Recent Advances in Constructive Approximation Theory

post quantum and bivariate setting. Methods, techniques, and problems in approximation theory are demonstrated with applications to;

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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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An Introduction to the Approximation of Functions

, including interpolation methods, and an introduction to splines, currently an area of great interest in approximation theory.Written for upper;

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Mathematical Methods for Curves and Surfaces

written by leading experts in the field, along with contributed research papers on the most current developments in approximation theory and;

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Adaptive Stochastic Methods

illustrated by multiple examples from mechanics, theory of elasticity, heat conduction and fluid dynamics. Contents Part I: Evaluation;

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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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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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Encyclopedia of Mathematics and its Applications

polynomial and spline approximation. Chapters 4 to 7 apply the theory to specific classes of functions. The last chapter deals with n-widths and;

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Encyclopedia of Mathematics and its Applications

polynomial and spline approximation. Chapters 4 to 7 apply the theory to specific classes of functions. The last chapter deals with n-widths and;

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Meshfree Approximation Methods With Matlab (With Cd-rom)

scattered data approximation and partial differential equations point of view. A good balance is supplied between the necessary theory and;

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Journal of Approximation Theory and Applied Mathematics - 2013 Vol. 1 and Vol. 2

Journal of Approximation Theory and Applied Mathematics (ISSN 2196-1581) is a journal which started in 2013. Themes of our journal are;

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Spline Functions on Triangulations

approximation and data fitting on the sphere. Ideal as a graduate text in approximation theory, and as a source book for courses in computer-aided;

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Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation;

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Acoustic Echo and Noise Control

methods to control echo and noise Develops a statistical theory for optimal control parameters and presents practical estimation and approximation;

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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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Integral Methods in Science and Engineering

the solution of mathematical problems by integral methods in conjunction with approximation schemes from various physical domains. Topics and;

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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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Numerical Methods for Stochastic Computations

are widely used in many areas of computer science and engineering. The book introduces polynomial approximation theory and probability theory;

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Greedy Approximation

hot topics in numerical mathematics: learning theory and compressed sensing. Nonlinear approximation is becoming increasingly important;

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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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Extreme Value Methods with Applications to Finance

, Poisson cluster approximation, and nonparametric estimation methods. These topics have not been fully focused on in other books on extremes;

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Applied Functional Analysis. Approximation Methods and Computers

directions of Kantorovich's research in approximate methods. The book covers descriptive set theory and functional analysis in semi-ordered vector;

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