1988Society for Industrial and Applied Mathematics eBooksRequires access

7. Computational Algorithms

Charles K. Chui

Open publisher page 0 citations

Abstract

As we mentioned in Chapter 1, algorithms for computing spline functions may be classified into three types. For multivariate splines s(x) that satisfy some recurrence relationship, such as the box splines as given by (2.6) in Theorem 2.5, the user can compute s(x) exactly for each fixed x using the recurrence relationship and compute s(y) again for another value of y. The second type is to give an efficient approximation scheme which is based on another recurrence relationship. This type is very useful for graphic display purposes. The third type is to give an explicit representation, say in terms of the Bézier net, of each polynomial piece. Algorithms of this type depend on yet another form of recurrence relationship. In this chapter, we will not go into the first type of algorithm, but discuss briefly a representative algorithm of each of the latter two types. We first consider a simple technique for displaying a polynomial “surface.”

About this research paper

What this paper is about

As we mentioned in Chapter 1, algorithms for computing spline functions may be classified into three types. For multivariate splines s(x) that satisfy some recurrence relationship, such as the box splines as given by (2.6) in Theorem 2.5, the user can compute s(x) exactly for each fixed x using the recurrence relationship and compute s(y) again for another value of y. The second type is to give an efficient approximation scheme which is based on another recurrence relationship. This type is very useful for graphic display purposes. The third type is to give an explicit representation, say in terms of the Bézier net, of each polynomial piece. Algorithms of this type depend on yet another form of recurrence relationship. In this chapter, we will not go into the first type of algorithm, but discuss briefly a representative algorithm of each of the latter two types. We first consider a simple technique for displaying a polynomial “surface.”

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

As we mentioned in Chapter 1, algorithms for computing spline functions may be classified into three types. For multivariate splines s(x) that satisfy some recurrence relationship, such as the box splines as given by (2.6) in Theorem 2.5, the user can compute s(x) exactly for each fixed x using the recurrence relationship and compute s(y) again for another value of y. The second type is to give an efficient approximation scheme which is based on another recurrence relationship. This type is very useful for graphic display purposes. The third type is to give an explicit representation, say in terms of the Bézier net, of each polynomial piece. Algorithms of this type depend on yet another form of recurrence relationship. In this chapter, we will not go into the first type of algorithm, but discuss briefly a representative algorithm of each of the latter two types. We first consider a simple technique for displaying a polynomial “surface.”

Key concepts: Type (biology), Algorithm, Representation (politics), Polynomial, Mathematics, Spline (mechanical), Bézier curve, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
7. Computational Algorithms — Research Paper | ScholarLens