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机构地区:[1]浙江农林大学环境科技学院,浙江临安311300
出 处:《西南林学院学报》2011年第3期45-48,共4页Journal of Southwest Forestry College
基 金:国家自然科学基金项目(10871230)资助;浙江省自然科学基金项目(Y607480)资助;浙江农林大学研究生科研创新基金项目(2112009044)资助
摘 要:将微分矩阵引入到树木生长率中,给出微分矩阵的算法,及4阶、无限阶的收敛图,以树高生长率为例,将树高生长率模型和本文提出的方法所得的树木生长率模型比较。本文方法如果得到一个稠密矩阵,就表明得到的树木生长率模型较优,并对其进行说明。The differentiation matrix was introduced into forest growth rate, the algorithm of differentiation matrix, and the convergence diagrams with fourth-order infinite differences were obtained individually. Taking height growth rate of the trees as an example, the growth rate model proposed based on this method was compared with the traditional height growth rate model. If a dense matrix were obtained, it meant that a better growth rate model for the trees was obtained.
分 类 号:S758[农业科学—森林经理学] S711[农业科学—林学]
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