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A Geometric Proof of the Convexity Preserving Property of NURBS Curves
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作者 LIU Chao-yang 《Chinese Quarterly Journal of Mathematics》 CSCD 北大核心 2006年第1期44-48,共5页
NURBS curves are convexity preserving, i.e. once the control polygon is convex, the associated NURBS curve will also be convex. In this paper this property is proved geometrically.
关键词 convexity preserving knot-insertion Bezier curve NURBS curve
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NO-ARBITRAGE SYMMETRIES
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作者 Iván DEGANO Sebastián FERRANDO Alfredo GONZáLEZ 《Acta Mathematica Scientia》 SCIE CSCD 2022年第4期1373-1402,共30页
The no-arbitrage property is widely accepted to be a centerpiece of modern financial mathematics and could be considered to be a financial law applicable to a large class of(idealized) markets.This paper addresses the... The no-arbitrage property is widely accepted to be a centerpiece of modern financial mathematics and could be considered to be a financial law applicable to a large class of(idealized) markets.This paper addresses the following basic question:can one characterize the class of transformations that leave the law of no-arbitrage invariant?We provide a geometric formalization of this question in a non probabilistic setting of discrete time-the so-called trajectorial models.The paper then characterizes,in a local sense,the no-arbitrage symmetries and illustrates their meaning with a detailed example.Our context makes the result available to the stochastic setting as a special case. 展开更多
关键词 No arbitrage symmetry convexity preserving maps non-probabilistic markets
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A Type of C^2 Piecewise Rational Interpolation
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作者 PAN Jian-xun BAO Fang-xun ZHAO Yi-bo 《Computer Aided Drafting,Design and Manufacturing》 2015年第1期40-47,共8页
A family of piecewise rational quintic interpolation is presented. Each interpolation of the family, which is identified uniquely by the value of a parameter ai, is of C^2 continuity without solving a system of consis... A family of piecewise rational quintic interpolation is presented. Each interpolation of the family, which is identified uniquely by the value of a parameter ai, is of C^2 continuity without solving a system of consistency equations for the derivative values at the knots, and can be expressed by the basis functions. Interpolant is of O(h^r) accuracy when f(x)∈C^r[a,b], and the errors have only a small floating for a big change of the parameter ai, it means the interpolation is stable for the parameter. The interpolation can preserve the shape properties of the given data, such as monotonicity and convexity, and a proper choice of parameter ai is given. 展开更多
关键词 SPLINE Cr^2 rational interpolation error estimates monotonicity preserving convexity preserving
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Constructing iterative non-uniform B-spline curve and surface to fit data points 被引量:48
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作者 LINHongwei WANGGuojin DONGChenshi 《Science in China(Series F)》 2004年第3期315-331,共17页
In this paper, based on the idea of profit and loss modification, we presentthe iterative non-uniform B-spline curve and surface to settle a key problem in computeraided geometric design and reverse engineering, that ... In this paper, based on the idea of profit and loss modification, we presentthe iterative non-uniform B-spline curve and surface to settle a key problem in computeraided geometric design and reverse engineering, that is, constructing the curve (surface)fitting (interpolating) a given ordered point set without solving a linear system. We startwith a piece of initial non-uniform B-spline curve (surface) which takes the given point setas its control point set. Then by adjusting its control points gradually with iterative formula,we can get a group of non-uniform B-spline curves (surfaces) with gradually higherprecision. In this paper, using modern matrix theory, we strictly prove that the limit curve(surface) of the iteration interpolates the given point set. The non-uniform B-spline curves(surfaces) generated with the iteration have many advantages, such as satisfying theNURBS standard, having explicit expression, gaining locality, and convexity preserving,etc 展开更多
关键词 FITTING ITERATION non-uniform B-spline curve and surface convexity preserving
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