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This self-contained, systematic treatment of multivariate approximation begins with classical linear approximation, and moves on to contemporary nonli...Lees meer
Structured population models are transport-type equations often applied to describe evolution of heterogeneous populations of biological cells, animal...Lees meer
Many practical applications require the reconstruction of a multivariate function from discrete, unstructured data. This book gives a self-contained, ...Lees meer
Many practical applications require the reconstruction of a multivariate function from discrete, unstructured data. This book gives a self-contained, ...Lees meer
Preconditioning techniques have emerged as an essential part of successful and efficient iterative solutions of matrices. Ke Chen's book offers a comp...Lees meer
The Christoffel-Darboux kernel, a central object in approximation theory, is shown to have many potential uses in modern data analysis, including appl...Lees meer
A comprehensive, up-to-date, and accessible introduction to the numerical solution of a large class of integral equations, this book builds an importa...Lees meer
This book combines mathematics (geometry and topology), computer science (algorithms), and engineering (mesh generation) in order to solve the concept...Lees meer
This volume generalizes the classical theory of orthogonal polynomials on the complex unit circle or on the real line to orthogonal rational functions...Lees meer
Based on extensive research by Henk van der Vorst, this book presents an overview of a number of Krylov projection methods for the solution of linear ...Lees meer
Most well-known solution techniques for differential equations exploit symmetry in some form. Systematic methods have been developed for finding and u...Lees meer
Modern Computer Arithmetic focuses on arbitrary-precision algorithms for efficiently performing arithmetic operations such as addition, multiplication...Lees meer
Many applications in science and engineering require a digital model of a real physical object. Advanced scanning technology has made it possible to s...Lees meer
This book offers a comprehensive introduction to the theory of linear and nonlinear Volterra integral equations (VIEs), ranging from Volterra's fundam...Lees meer
This book combines mathematics (geometry and topology), computer science (algorithms), and engineering (mesh generation) in order to solve the concept...Lees meer
This book is concerned with digital image processing techniques that use partial differential equations (PDE) for the task of image 'inpainting, ' an ...Lees meer
The recent appearance of wavelets as a new computational tool in applied mathematics has given a new impetus to the field of numerical analysis of Fre...Lees meer
During the past two decades, pseudospectral methods have emerged as successful, and often superior, alternatives to better known computational procedu...Lees meer
Recovering the phase of the Fourier transform is a ubiquitous problem in imaging applications from astronomy to nanoscale X-ray diffraction imaging. D...Lees meer
High-order numerical methods provide an efficient approach to simulating many physical problems. This book considers the range of mathematical, engine...Lees meer
This first book on greedy approximation gives a systematic presentation of the fundamental results. It also contains an introduction to two hot topics...Lees meer
This book unites the study of dynamical systems and numerical solution of differential equations. The first three chapters contain the elements of the...Lees meer
The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subject...Lees meer
Spectral methods are well-suited to solve problems modeled by time-dependent partial differential equations: they are fast, efficient and accurate and...Lees meer