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Fitting Splines to a Parametric Function

different splines to fit the shape of a simple family of epiTrochoid curves: two types of Bezier curve, two uniform B-splines, and two Beta-splines;

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Multivariate Splines

The subject of multivariate splines has become a rapidly growing field of mathematical research. The author presents the subject from an;

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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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Wavelet Subdivision Methods

parametric curves and surfaces of desirable geometric shapes. The authors develop a complete constructive theory and effective algorithms to derive;

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Spline Functions

This classic work continues to offer a comprehensive treatment of the theory of univariate and tensor-product splines. It will be;

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Approximation with Quasi-Splines

of this, allowing us to use any useful class of functions adapted to the problem. Approximation with Quasi-Splines is a detailed account of this;

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Statistical Models of Characteristics of Metal Vapor Lasers

models are obtained using non-parametric method of multivariate adaptive regression splines which can account for the local changes in the;

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Spline Functions on Triangulations

analogous bivariate theory. A detailed mathematical treatment of polynomial splines on triangulations is outlined, providing a basis for developing;

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Mathematics for Computer Graphics and Game Programming

curves such as cubic splines, Bezier curves, etc. In addition to programming in C, OpenGL, and several other topics, it includes a final chapter;

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Density Ratio Estimation in Machine Learning

to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric convergence;

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Density Ratio Estimation in Machine Learning

to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric convergence;

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Spline and Spline Wavelet Methods with Applications to Signal and Image Processing: Volume II

This book presents various contributions of splines to signal and image processing from a unified perspective that is based on the Zak;

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A Practical Guide to Splines

This book is based on the author's experience with calculations involving polynomial splines, presenting those parts of the theory;

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Approximation by Spline Functions

functions which are given explicitly or only implicitly, e.g. by differential equations. The aim of this book is to analyse in a unified approach;

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Practical Smoothing

This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with;

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Handbook of Splines

The purpose of this book is to give a comprehensive introduction to the theory of spline functions, together with some applications to;

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Data-Driven Computational Methods

leverage data for modeling dynamical systems. The first is concerned with data fitting algorithms to estimate parameters in parametric models that;

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Fitting Form to Function

employees; another class, administrators, are a cross between bosses and colleagues. Fitting Form to Function discusses how such institutions are;

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Spline and Spline Wavelet Methods with Applications to Signal and Image Processi

This book provides a practical guide, complete with accompanying Matlab software, to many different types of polynomial and discrete;

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Bezier and Splines in Image Processing and Machine Vision

This book deals with various image processing and machine vision problems efficiently with splines and includes: the significance;

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Control Theoretic Splines

distance from a point to an affine subspace in a Hilbert space. They cover periodic splines, monotone splines, and splines with inequality;

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Periodiske B-Splines

This volume represents an introduction to periodical B splines with emphasis on the Oslo algorithm and reflection on applications within;

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Non-Standard Parametric Statistical Inference

This book discusses the fitting of parametric statistical models to data samples. Emphasis is placed on: (i) how to recognize situations;

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Parametric Modeling with Creo Parametric 6.0

is intended to be used as a training guide for any student or professional wanting to learn to use Creo Parametric. This text covers Creo;

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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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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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Extremal Properties of Polynomials & Splines

Extremal Properties of Polynomials & Splines;

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