1) nonhomogeneous identity
齐次恒等式
2) homogeneous isoparametric element formulation
等参元齐次列式
3) quadratic-form identity
二次型恒等式
1.
Integrable couplings of the KdV hierarchy is obtained by use of the new subalgebra of the loop algebra,then the Hamiltonian structure of the above system is given by the quadratic-form identity.
利用loop代数的半直和得到KdV族的可积耦合,通过二次型恒等式得到它的哈密顿结构。
2.
Since the trace iden-tity fails to generate Hamiltonian structures of integrable couplings,the quadratic-form identity was proposed, which is an extension ofthe trace identity.
由于迹恒等式无法寻求可积耦合的Hamilton结构,所以人们提出了二次型恒等式,它是迹恒等式的推广,是寻求可积耦合的Hamilton结构的有效方法。
3.
Further more,the Hamilton ian structure of its integrable couplings is worked out by using of the quadratic-form identity,which is of Liouville intergrable.
首先构造了一个loop代数,根据(2+1)维零曲率方程计算得到(2+1)维KdV族的可积耦合,然后通过二次型恒等式得到它的哈密顿结构。
4) homogeneous equivalence
齐次等价
1.
The homogeneous equivalence of sequence group was defined,and the condition for homogeneous linear correlation and homogeneous equivalence was discussed,then the relevant result was acquired.
提出了数列组的齐次线性相关与齐次线性无关的概念,定义了数列组之间的齐次等价,并讨论数列组的齐次线性相关、数列组之间齐次等价的条件,得到一些有关的结论。
5) homogeneous idempotent
齐次幂等元
6) Kaya identity
Kaya恒等式
1.
China's CO 2 emissions change during 1971-2005 was analyzed by using Kaya identity in combination with the evolution of macroeconomic background.
利用Kaya恒等式结合宏观经济背景的变迁,对1971—2005年期间影响中国CO2排放量的因子展开分析。
2.
The paper firstly describes Kaya Identity and its policy implications.
在讨论Kaya恒等式及其政策涵义的基础上,利用修改后的Kaya恒等式对1971-2005年期间中国的CO2排放进行了无残差分解,并结合宏观经济背景的变迁对从"四五"到"十五"计划期间的排放变化展开详细分析,结果表明经济的快速发展和人口的增长是CO2排放增加的主要驱动因素,能源效率的提高有利于减少CO2排放,而能源结构的低碳化则是降低CO2排放水平的重要战略选择,最后强调指出加快产业结构调整、发展高能效技术以及清洁燃料技术等政策选择不仅能促进"十一五"期间单位GDP能耗降低20%约束性目标的实现,而且也能有效减少中国CO2的排放量,为减缓气候变化做出贡献。
3.
In this paper,a decomposition model based on the extended Kaya identity was established,and impacts from economic scales,population sizes,industrial structures,energy mix and energy efficiency on carbon emission were examined in detail with the LMDI method.
本文综合考量经济产出规模、人口规模、产业结构、能源结构及能源效率等因素对碳排放的影响,基于扩展的Kaya恒等式建立因素分解模型,应用LMDI分解方法对能源消费碳排放进行因素分解。
补充资料：参列
1.排列;列入。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条