1) generalized Lagrange multiplier
广义拉格朗日乘子
1.
Based on the essence of generalized Lagrange multiplier,a fictitious domain method,especially for Poisson problems,is proposed,where all computational tasks are carried out in an auxiliary simply shaped domain,and the original domain is embedded into.
基于广义拉格朗日乘子法,采用虚拟区域公式求解泊松边值问题。
2) augmented lagrangian method
增广拉格朗日乘子法
1.
The results show that the algorithmic programme is of a faster convergent speed and a higher solving precision with an augmented lagrangian method which is more suitable for the optimization than penalty function method.
将增广拉格朗日乘子法应用到大型振动筛结构动态优化设计中,通过优化设计法找寻加强筋在振动筛侧板上的最优布置,达到以最少筋板数满足低应力的要求。
3) Lagrangian method
拉格朗日乘子法
1.
Optimization of integral flange by Lagrangian method.;
整体法兰拉格朗日乘子法优化设计
2.
In the new method,the Lagrangian method with inequality restriction is used to assign the load between the monoblock so as to increase the feasibility a.
在不等式约束条件下,采用拉格朗日乘子法对火电机组负荷最优分配问题进行研究,以提高在实际运行过程中负荷最优分配结果的可行性和实用性。
4) Lagrangian multiplier method
拉格朗日乘子法
1.
The dynamic equations were derived applying the Lagrangian multiplier method.
给出了平面——球系统中描述球体姿态的三个欧拉角的具体定义,在此基础上确定了完全描述球形机器人系统的七个状态变量,指出机器人在运动中所受的三个非完整约束,应用拉格朗日乘子法推导出球形机器人动力学方程。
5) Lagrangian multiplier
拉格朗日乘子
1.
Discussion of solving the problem of motionless michanics by Lagrangian multiplier;
关于用拉格朗日乘子法解静力学问题的一点商榷
6) Lagrange Multiplier
拉格朗日乘子
1.
Hybrid finite element method constrained by Lagrange multiplier in couple-stress theory;
基于偶应力理论的拉格朗日乘子约束的四结点杂交元法
2.
The constrained problem can be changed to a non-constrained problem by introducing Lagrange multipliers.
FIR低通滤波器的频域设计是一个带线性约束的优化问题,通过引入拉格朗日乘子可以将约束问题转化为无约束问题。
3.
In order to decrease the picture quality fluctuation due to Q2 rate-control scheme in low rate and low delay video communication,firstly,a target bit-allocation algorithm was proposed with Lagrange multiplier method,where the coding information of previous one frame and the buffer status were taken into account.
针对低码率、低时延视频通信中MPEG-4 Q2码率控制方案导致的图像质量波动问题,利用拉格朗日乘子法,提出了一个率失真优化的目标比特估计算法(LAG-BA),根据前一帧图像的编码信息和虚拟缓存器状态预测当前帧的目标比特数。
补充资料:第二类拉格朗日方程
见拉格朗日方程。
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