The implicit solutions of the model are derived by use of Lagrange multiplier.

The extended method adopts the Lagrange multiplier technique to decompose the problem.

文中采用拉格朗日乘子技术使问题得以分解；

An Domain Decomposition Method with Lagrange Multiplier Based on the Pointwise Matching Condition

基于逐点匹配的拉格朗日乘子区域分解方法

A Mixed Method for Second-Oder Elliptic Problem Based on Lagrange Multiplier

基于Lagrange乘子法的一种二阶椭圆问题混合元格式

Lagrange Multiplier Method Introduced from View of Geometry

Lagrange乘数法的几何直观推导

Neural Networks Based on Lagrange Multiplier for Solving Elasto-Plastic Mechanic Finite Element Problems

基于Lagrange乘子法神经网络求解弹塑性力学有限元问题

Saddle Point Theorem and its Applications in the Method of Lagrange Multiplier

鞍点定理在Lagrange乘数法上的应用

Lagrange Multiplier Procedure and General Form of Generalized Variational Principle

Lagrange乘子法和一般形式的广义变分原理

The Lagrange multiplier method is derived from the view of geometry.

从几何上，直观地介绍求解一类条件极值问题的Lagrange乘数法，显得很形象、易于理解。

An Iterative Optimization Procedure of Lagrange Multiplier Method for Polarimetric Power Optimization

用于分布式目标最优极化求解的Lagrange乘因子法优化

A Simply Method for Calculating Gradient Projection Matrix and Lagrange Multiplier

计算梯度投影矩阵和Lagrange乘子的一种简便算法

Lagrange multiplier method and Wiener-Hopf technique& with an application in control system design

Lagrange乘子法和Wiener-Hopf技术及其在控制系统设计中的应用

Calculation of correcting lens surface based on Lagrange multiplier method

基于Lagrange系数乘子法的校正透镜曲面计算

A New Adaptive Lagrange Multiplier Selection Model in Hybrid Video Coder Control

混合视频编码控制中一种新的自适应Lagrange乘数选取模型

A Lagrange Multiplier Based Fictitious Domain Method and It's Applications

基于Lagrange乘子的虚拟区域法研究及其应用

Discussion and analysis of the Economic meanings of Lagrange multiplier λ

探析拉格朗日乘数λ的经济意义

SVM Fast Training Algorithm Research Based on Multi-Lagrange Multiplier

多拉格朗日乘子协同优化的SVM快速学习算法研究

Computing Reliability Index of structure by use of Lagrange multiplier method

用Lagrange乘子法求解结构可靠指标

The Lagrange multiplier method is used, and two practical numerical examples are given.

运用拉格朗日乘子法，得到了计算分配向量的公式，并给出了两个计算实例。

In this numerical model, Navier-Stokes equation is chosen as the basic equation and discretized by the finite elements method.

模型选用Navier-Stokes方程作为基本方程，以有限元法对基本方程进行离散。

The advantage is that we can tune the velocity field by adjusting the parameters of the Navier-Stokes equation.

我们可以通过调节Navier-Stokes方程的参数来修改速度场。