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IFS中随机迭代算法的改进和分析
Improvement and Analysing of Random Iterated Algorithm of IFS
【摘要】 随机迭代算法是生成迭代函数系统(IFS)所定义的分形吸引子的有效方法,通过改变组成IFS的各个仿射变换的系数,随机迭代算法中的循环迭代过程不必再引入中间变量,从而减少了赋值语句,并且分析了消去中间变量前后仿射变换之间的关系.
【Abstract】 Random Iterated Algorithm is an effective method to generate fractal attractor defined by Iterated Function System.Through changing coefficients of affine transformations of which IFS is composed,temporary variables are not necessary in the loop iteration procedure of Random Iterated Algorithm,so assignment statements are reduced.Finally the relationship between affine transformation and corresponding affine transformation after temporary variables being eliminated is discussed.
【关键词】 迭代函数系统;
随机迭代算法;
吸引子;
【Key words】 iterated function system; random iterated algorithm; attractor;
【Key words】 iterated function system; random iterated algorithm; attractor;
- 【文献出处】 南方冶金学院学报 ,Journal Os Southern Institute of Metallurgy , 编辑部邮箱 ,2005年04期
- 【分类号】O241
- 【被引频次】3
- 【下载频次】110