The Theory of Splines and Their Applications

Author: J. H. Ahlberg
Publisher: Elsevier
ISBN: 1483222950
Format: PDF, Mobi
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The Theory of Splines and Their Applications discusses spline theory, the theory of cubic splines, polynomial splines of higher degree, generalized splines, doubly cubic splines, and two-dimensional generalized splines. The book explains the equations of the spline, procedures for applications of the spline, convergence properties, equal-interval splines, and special formulas for numerical differentiation or integration. The text explores the intrinsic properties of cubic splines including the Hilbert space interpretation, transformations defined by a mesh, and some connections with space technology concerning the payload of a rocket. The book also discusses the theory of polynomial splines of odd degree which can be approached through algebraically (which depends primarily on the examination in detail of the linear system of equations defining the spline). The theory can also be approached intrinsically (which exploits the consequences of basic integral relations existing between functions and approximating spline functions). The text also considers the second integral relation, raising the order of convergence, and the limits on the order of convergence. The book will prove useful for mathematicians, physicist, engineers, or academicians in the field of technology and applied mathematics.

Mathematics of Approximation

Author: Johan de De Villiers
Publisher: Springer Science & Business Media
ISBN: 9491216503
Format: PDF, Docs
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The approximation of a continuous function by either an algebraic polynomial, a trigonometric polynomial, or a spline, is an important issue in application areas like computer-aided geometric design and signal analysis. This book is an introduction to the mathematical analysis of such approximation, and, with the prerequisites of only calculus and linear algebra, the material is targeted at senior undergraduate level, with a treatment that is both rigorous and self-contained. The topics include polynomial interpolation; Bernstein polynomials and the Weierstrass theorem; best approximations in the general setting of normed linear spaces and inner product spaces; best uniform polynomial approximation; orthogonal polynomials; Newton-Cotes , Gauss and Clenshaw-Curtis quadrature; the Euler-Maclaurin formula ; approximation of periodic functions; the uniform convergence of Fourier series; spline approximation,with an extensive treatment of local spline interpolation,and its application in quadrature. Exercises are provided at the end of each chapter

Interpolation and Approximation with Splines and Fractals

Author: Peter Robert Massopust
Publisher: Oxford University Press, USA
Format: PDF, Kindle
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This textbook is intended to supplement the classical theory of uni- and multivariate splines and their approximation and interpolation properties with those of fractals, fractal functions, and fractal surfaces. This synthesis will complement currently required courses dealing with these topics and expose the prospective reader to some new and deep relationships. In addition to providing a classical introduction to the main issues involving approximation and interpolation with uni- and multivariate splines, cardinal and exponential splines, and their connection to wavelets and multiscale analysis, which comprises the first half of the book, the second half will describe fractals, fractal functions and fractal surfaces, and their properties. This also includes the new burgeoning theory of superfractals and superfractal functions. The theory of splines is well-established but the relationship to fractal functions is novel. Throughout the book, connections between these two apparently different areas will be exposed and presented. In this way, more options are given to the prospective reader who will encounter complex approximation and interpolation problems in real-world modeling. Numerous examples, figures, and exercises accompany the material.

Numerical Analysis for Scientists and Engineers

Author: Madhumangal Pal
Publisher: Alpha Science International Limited
ISBN: 9781842653647
Format: PDF, Docs
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Numerical Analysis for Scientists and Engineers develops the subject gradually by illustrating several examples for both the beginners and the advanced readers using very simple language. The classical and recently developed numerical methods are derived from mathematical and computational points of view. Different aspects of errors in computation are discussed in detailed. Some finite difference operators and different techniques to solve difference equations are presented here. Various types of interpolation, including cubic-spline, methods and their applications are introduced. Direct and iterative methods for solving algebraic and transcendental equations, linear system of equations, evaluation of determinant and matrix inversion, computation of eigenvalues and eigenvectors of a matrix are well discussed in this book. Detailed concept of curve fitting and function approximation, differentiation and integration (including Monte Carlo method) are given. Many numerical methods to solve ordinary and partial differential equations with their stability and analysis are also presented. The algorithms and programs in C are designed for most of the numerical methods. This book is also suitable for competitive examinations like NET, GATE and SLET, etc.

Splines and Variational Methods

Author: P. M. Prenter
Publisher: Courier Corporation
ISBN: 0486783499
Format: PDF
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One of the clearest available introductions to variational methods, this text requires only a minimal background in calculus and linear algebra. Its self-contained treatment explains the application of theoretic notions to the kinds of physical problems that engineers regularly encounter. The text’s first half concerns approximation theoretic notions, exploring the theory and computation of one- and two-dimensional polynomial and other spline functions. Later chapters examine variational methods in the solution of operator equations, focusing on boundary value problems in one and two dimensions. Additional topics include least squares and other Galerkin methods. Many helpful definitions, examples, and exercises appear throughout the book. A classic reference in spline theory, this volume will benefit experts as well as students of engineering and mathematics.

Spline Functions Basic Theory

Author: Larry Schumaker
Publisher: Cambridge University Press
ISBN: 1139463438
Format: PDF, ePub
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This classic work continues to offer a comprehensive treatment of the theory of univariate and tensor-product splines. It will be of interest to researchers and students working in applied analysis, numerical analysis, computer science, and engineering. The material covered provides the reader with the necessary tools for understanding the many applications of splines in such diverse areas as approximation theory, computer-aided geometric design, curve and surface design and fitting, image processing, numerical solution of differential equations, and increasingly in business and the biosciences. This new edition includes a supplement outlining some of the major advances in the theory since 1981, and some 250 new references. It can be used as the main or supplementary text for courses in splines, approximation theory or numerical analysis.

Finite Element Methods with B Splines

Author: Klaus Hollig
Publisher: SIAM
ISBN: 0898716993
Format: PDF, ePub
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An exploration of the new weighted approximation techniques which result from the combination of the finite element method and B-splines.

Spline Functions on Triangulations

Author: Ming-Jun Lai
Publisher: Cambridge University Press
ISBN: 0521875927
Format: PDF, ePub, Docs
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Comprehensive graduate text offering a detailed mathematical treatment of polynomial splines on triangulations.

Methods of Shape Preserving Spline Approximation

Author: Boris I Kvasov
Publisher: World Scientific
ISBN: 981449447X
Format: PDF, Mobi
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This book aims to develop algorithms of shape-preserving spline approximation for curves/surfaces with automatic choice of the tension parameters. The resulting curves/surfaces retain geometric properties of the initial data, such as positivity, monotonicity, convexity, linear and planar sections. The main tools used are generalized tension splines and B-splines. A difference method for constructing tension splines is also developed which permits one to avoid the computation of hyperbolic functions and provides other computational advantages. The algorithms of monotonizing parametrization described improve an adequate representation of the resulting shape-preserving curves/surfaces. Detailed descriptions of algorithms are given, with a strong emphasis on their computer implementation. These algorithms can be applied to solve many problems in computer-aided geometric design. Contents:Interpolation by Polynomials and Lagrange SplinesCubic Spline InterpolationAlgorithms for Computing 1-D and 2-D Polynomial SplinesMethods of Monotone and Convex Spline InterpolationMethods of Shape-Preserving Spline InterpolationLocal Bases for Generalized Tension SplinesGB-Splines of Arbitrary OrderMethods of Shape Preserving Local Spline ApproximationDifference Method for Construction Hyperbolic Tension SplinesDiscrete Generalized Tension SplinesMethods of Shape Preserving Parametrization Readership: Engineers, physicists, researchers and students in applied mathematics. Keywords:Lagrange Splines;Cubic Splines;Monotone and Convex Spline Interpolation;Shape-Preserving Spline Interpolation;GB-Splines and Recursive Algorithms for GB-Splines;Shape-Preserving Local Spline Approximation;Discrete Generalized Tension Splines;Differential Multipoint Boundary Value Problem;Difference Method for Constructing Hyperbolic Tension Splines;Shape-Preserving ParametrizationReviews: “The book is well written, and I can recommend it to anyone interested in shape-preserving spline methods.” Mathematical Reviews