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1)  constrained background bilinearization
约束背景双线性化
1.
A sequential number-theoretic optimization(SNTO) method with the modification of contraction ratio and termination criterions is applied to quantitative analysis of multicomponent "grey" system by way of the constrained background bilinearization (CBBL) model.
将序贯数论优化法(SNTO),结合采用约束背景双线性化模型用于多组分“灰色”体系同时测定,且对SNTO的收缩比和收敛判据进行了改进。
2)  constrained background bilinerization
约束背景双线性分解法
1.
According to the character of the two-way kinetic-spectral data, the constrained background bilinerization algorithm was used to resolve the ana-lyte in the gray system.
基于该类数据的亏秩特性,约束背景双线性分解法(Constrained Background Bilinearization,CBBL)被用于数据的解析。
3)  Plücker bilinear constraint
Plücker双线性约束
4)  linear constrained optimization
线性约束优化
5)  nonlinear constrained optimization
非线性约束优化
1.
A new algorithm for solving nonlinear constrained optimization problems with particle swarm optimizer;
一种非线性约束优化的微粒群新算法
2.
An approach to solve nonlinear constrained optimization;
一种求解非线性约束优化问题的新方法
3.
Improved particle swarm algorithm for solving nonlinear constrained optimization problems;
改进的粒子群算法求解非线性约束优化问题
6)  nonlinear constrained optimization
约束非线性优化
补充资料:双二乙二醇基化钛化双-2,4-戊烷二酯
CAS:84788-13-6
中文名称:双二乙二醇基化钛化双-2,4-戊烷二酯
英文名称:bis(Diethyleneglycoxy)titanium bis(2,4-Pentanedionate)
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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