Spline Toolbox 3.3.5

Product Description

• Introduction and Key Features
• Working with the Spline Toolbox
• Selecting Knots and Representing Splines

Introduction

The Spline Toolbox extends MATLAB® with tools for creating, viewing, and analyzing spline approximations of data. Splines are smooth piecewise polynomials that can be used to represent functions over large intervals, where it would be impractical to use a single approximating polynomial. They have become a standard tool for modeling arbitrary functions.

The Spline Toolbox includes a graphical user interface (GUI) that provides easy access to functions for creating, visualizing, and manipulating splines. The toolbox also contains functions that enable you to evaluate, plot, combine, differentiate, and integrate splines. Because all toolbox functions are implemented in the open MATLAB language, you can inspect the algorithms, modify the source code, and create your own custom functions.




A cubic B-spline and the four polynomials from which it is made. The spline model is often used when the function to be modeled is given only as the solution of a functional equation.

Key Features

• GUIs that let you create, view, and manipulate splines and manage and compare spline approximations
• Functions for advanced spline operations, including differentiation, integration, break/knot manipulation, and optimal knot placement
• Support for piecewise polynomial form (ppform) and basis form (B-form) splines
• Support for tensor-product splines and rational splines (including NURBS)