Beziel曲线与B样条曲线的升阶公式

Bezier曲线的升阶公式在[1]中给出了简单的递推表达式,而B样条曲线的升阶公式则相对地复杂,本文利用[4]提出的n次多项式的blossom即一个与此多项式一一对应的对称的n—仿射映射,给出了Bezier曲线和B样条曲线直接升r阶的升阶公式。     

B样条基的转换矩阵及其应用

本文研究任意两个B样条基可转换的条件及转换矩阵，给出了关于转换矩阵元素的表示及性质等理论结果，并推导出了两个递推公式，为实际计算转换矩阵的元素提供了易于实现的数学方法。本文还讨论了B样条基转换矩阵在CAGD中的应用，特别讨论了B样条曲线的节点插入、升阶和分解问题。本文的结果为B样条曲线的节点插入、升阶、分解等运算提供了一个统一的数学模型和实现方法。     

基于B样条的函数型数据表示与配准

针对函数型数据配准问题,首先利用B样条函数来近似表示,并将扭曲函数也限定为于B样条函数空间内.进而将函数型数据配准问题转换为B样条函数升阶后比较控制顶点的问题,可降低计算复杂度.数值实验验证了该方法的有效性.     

周期B样条基转换矩阵的表示和计算

周期B样条基以一种简洁的形式表示闭B样条曲线.周期B样条基转换矩阵为闭B样条曲线及相关曲面的不同表示间的转换提供了一个数学模型.本文给出了周期B样条基转换矩阵的存在性条件,给出并证明了周期B样条基转换矩阵的一个简单的递归表示式.在此基础上,本文进一步给出了周期B样条基转换矩阵的计算公式和高效算法.周期B样条基转换矩阵为闭B样条曲线的节点插入、升阶、节点删除和降阶等基本运算提供了一个统一而简单的解决方法,本文给出了一些应用例子.     

局部形状可调整的三次有理B样条插值曲线

利用三次非均匀有理B样条,给出了一种构造局部插值曲线的方法,生成的插值曲线是C2连续的.曲线表示式中带有一个局部形状参数,随着一个局部形状参数值的增大,所给曲线将局部地接近插值点构成的控制多边形.基于三次非均匀有理B样条函数的局部单调性和一种保单调性的准则,给出了所给插值曲线的保单调性的条件.     

B样条基转换矩阵的解析表示和计算公式

摘要B样条基的转换矩阵具有重要的理论和应用意义。本文研究其最基本的问题：存在性条件、解析表示和计算方法，利用差商展开系数得到了上述问题的有关结果，本文的结果为CAGD中B样条曲线的节点插入、节点删除、升阶、降阶、分割、组合等重要技术提供了一个统一的数学背景和实现方法。     

广义Ball样条曲线及三角域上曲面的升阶公式和转换算法

Ｔ．Ｎ．Ｔ．Ｇｏｏｄｍａｎ在［９］和［１０］中给出了广义Ｂａｌｌ样条曲线、曲面的奇次升阶公式和有关性质，但未给出偶次广义Ｂａｌｌ样条形式。     

递归曲线的矩阵表示和构造方法

本文给出了递归曲线的矩阵表示和构造W曲线以及L曲线的比例因子方法．揭示了Bernstein基函数和等距B样条函数以及不等距重节点B样条函数之间的一种简单的内在关系．     

指数平均Bézier曲线族

利用指数平均族与Béier曲线结合定义了指数平均Bézier曲线族.首先研究了指数平均族,阐述了指数平均族的单调性和正规性,其次由Bernstein函数定义得到n次s阶指数平均Bernstein函数,讨论了它与函数f之间的关系,最后,研究指数平均Bézier曲线族的性质,讨论了它的升阶,de casteljan算法,分割定理等.     

B样条函数(一)

多项式样条函数是样条函数理论中最基本的内容,它的应用也最广.多项式 B 样条函数(以下简称为 B 样条)在多项式样条函数理论中起着极其重要的作用,并且已成为构造曲线、曲面与计算多项式样条的最为有效的工具.     

C-Bézier和B-型样条闭曲线光滑性研究

本文研究了与多边形相切的样条曲线的构造方法和基本属性问题,给出了曲线光顺度的一般定义和计算方法.利用该方法对分段C-Bézier曲线、4-5-5-4次交错B-样条曲线和3阶B样条曲线的光顺度进行计算,获得了3阶B样条曲线最为光顺的结果.     

Degree reduction of B-spline curves

An algorithmic approach to degree reduction of B-spline curves is presented. The new algorithms are based on the blossoming process and its matrix representation. The degree reduction of B-spline curves are obtained by the generalized least square method. The computations are carried out by minimizing theL ₂ distance between the two curves.     

Changeable degree spline basis functions

A B-spline basis function is a piecewise function of polynomials of equal degree on its support interval. This paper extends B-spline basis functions to changeable degree spline (CD-spline for short) basis functions, each of which may consist of polynomials of different degrees on its support interval. The CD-spline basis functions possess many B-spline-like properties and include the B-spline basis functions as subcases. Their corresponding parametric curves, called CD-spline curves, are like B-spline curves and also have many good properties. If we use the CD-spline basis functions to design a curve made up of polynomial segments of different degrees, the number of control points may be decreased.     

Totally positive functions through nonstationary subdivision schemes

In this paper a new class of nonstationary subdivision schemes is proposed to construct functions having all the main properties of B-splines, namely compact support, central symmetry and total positivity. We show that the constructed nonstationary subdivision schemes are asympotically equivalent to the stationary subdivision scheme associated with a B-spline of suitable degree, but the resulting limit function has smaller support than the B-spline although keeping its regularity.     

B-Spline Collocation Method for Nonlinear Singularly-Perturbed Two-Point Boundary-Value Problems

A B-spline collocation method is presented for nonlinear singularly-perturbed boundary-value problems with mixed boundary conditions. The quasilinearization technique is used to linearize the original nonlinear singular perturbation problem into a sequence of linear singular perturbation problems. The B-spline collocation method on piecewise uniform mesh is derived for the linear case and is used to solve each linear singular perturbation problem obtained through quasilinearization. The fitted mesh technique is employed to generate a piecewise uniform mesh, condensed in the neighborhood of the boundary layers. The convergence analysis is given and the method is shown to have second-order uniform convergence. The stability of the B-spline collocation system is discussed. Numerical experiments are conducted to demonstrate the efficiency of the method.     

An efficient cubic B-spline and bicubic B-spline collocation method for numerical solutions of multidimensional nonlinear stochastic quadratic integral equations

This paper aims to develop a novel numerical approach on the basis of B-spline collocation method to approximate the solution of one-dimensional and two-dimensional nonlinear stochastic quadratic integral equations. The proposed approach is based on the hybrid of collocation method, cubic B-spline, and bi-cubic B-spline interpolation and Itô approximation. Using this method, the problem solving turns into a nonlinear system solution of equations that is solved by a suitable numerical method. Also, the convergence analysis of this numerical approach has been discussed. In the end, examples are given to test the accuracy and the implementation of the method. The results are compared with the results obtained by other methods to verify that this method is accurate and efficient.     

B-spline solution of a singularly perturbed boundary value problem arising in biology

We use B-spline functions to develop a numerical method for solving a singularly perturbed boundary value problem associated with biology science. We use B-spline collocation method, which leads to a tridiagonal linear system. The accuracy of the proposed method is demonstrated by test problems. The numerical result is found in good agreement with exact solution.