拉格朗日乘子

罚函数法非稳态分析的CPU时间比拉格朗日乘子法少。

In the unsteady analysis , the CPU time of the penalty function method is less than the Lagrange multiplier method .

该方案借助拉格朗日乘子法凹增长的性质，推导出了Mesh节点的最优发送功率，保证了网络层和MAc层的QoS。

The scheme with the Lagrange Multiplier Method and its concave growth , and derive the optimal transmit power of the Mesh nodes with QoS guarantee in network layer and MAC layer .

多拉格朗日乘子协同优化的SVM快速学习算法研究

SVM Fast Training Algorithm Research Based on Multi - Lagrange Multiplier

拉格朗日乘子法在机载SAR成像系统降采样滤波器设计中的应用

Application of Lagrange Method in the Design of Desampling FIR Filter of Airborne SAR Real-time Imaging System

运用ABS算法讨论了等式约束优化问题中的拉格朗日乘子法所形成的线性方程组的求解问题；

The solution of indefinite equations arising from quadratic programming with equality constraints are discussed by ABS algorithms .

内层的决策变量Δti用可以处理等式约束条件的拉格朗日乘子法求解；

The inner decision variables Δ ti was solved by Lagrangian multiplier method which can deal with equality constraints problem well .

在此基础上，利用拉格朗日乘子法推导了该并联机构的逆动力学方程。本文所有的仿真算例都是由MATLAB软件得出。

According to the analysis , the inverse dynamics of the manipulator based on the Lagrangian multiplier is developed . All simulation results in this dissertation are performed by using MATLAB software .

大地电磁Occam反演中拉格朗日乘子搜索的并行计算

The parallel computation of Lagrange multiplier searching in magnetotelluric Occam inversion

Hopfield神经网络与增广拉格朗日乘子法相结合来求解非线性约束优化。

Combining augmented lagrange multiplier ( ALM ) method to Hopfield neural network ( HNN ), was proposed to solve nonlinear constrained optimization .

结构可靠度的增广拉格朗日乘子算法新的Lagrangian松弛法求解CLSP问题

The Augmented Lagrangian Method for Structual Reliability NEW LAGRANGIAN RELAXATION ALGORITHMS TO SOLVE CLSP

方法在假设肿瘤部位治疗能量一定的情况下，根据提出的TCP计算模型，用拉格朗日乘子方法推导出任意肿瘤生物学参数取值分布时获得最大TCP的条件。

Methods When the total absorbed energy was defined , with the proposed TCP model and the method of Lagrange multiplier , the condition which can cause the optimum TCP will be derived .

本文对CIMS生产线中缓冲区容量进行了优化分配，提出了拉格朗日乘子优化法和启发式优化算法，得到了满意的结果。

This paper discusses the optimal apportionment of capacities of buffers in CIMS production line , presents the Lagrange Operator Algorithm and Heuristic Algorithm , obtains the satisfied results .

本文采用拉格朗日乘子法进行了小水电站吊车梁的优化设计，文中给出了优化设计吊车梁的QuickBASIC计算机程序，使吊车梁的优化设计简单、实用、易于推广。

The optimization of crane beam was carried out by using Lagrangian Multiplier , and a Quick BASIC computer program for optimizing the design of crane beam was presented . The design-optimization of crane beam was very simple , practical and easy to be popularized .

进而，使用拉格朗日乘子法优化最大边缘准则（MMC），提出了多重核权值优化算法。

Moreover , a weight optimization scheme for the multi-kernel was proposed by maximizing the Margin Maximization Criterion ( MMC ) based on the method of Lagrange multipliers .

该方法不仅克服了拉格朗日乘子法不能保证权重非负的不足，而且由于二次规划问题可借助MATLAB软件进行求解，从而简化了求解权重的计算过程。

The method not only overcomes the shortage of the Lagrange multiplier method which can 't ensure nonnegativity condition of weight , but also quadratic programming problem can rely on MATLAB software solving and simplifying the calculating procedure of weight .

在程序结构上，又将P-Q解耦原理与稀疏技术相结合，完成潮流方程与拉格朗日乘子的解算。

In the programme structure , by combining the P-Q decoupling theorem with the sparse method , the power flow equations and Lagrangian multipliers are solved .

该算法考虑子信道最大发射功率、最小目标信干噪比（SINR，SignaltoInterferenceplusNoiseRatio）等约束条件，以最大化能量效率为目标，并通过增广拉格朗日乘子法进行求解。

The proposed algorithm takes into account the constraints of subchannel maximum transmit power and the minimum target signal to interference plus noise ratio ( SINR ), so as to maximize the energy efficiency . And the power control problem is solved by augmented Lagrange multiplier method .

在RDO过程中，根据这三个视觉失真敏感度模型，拉格朗日乘子被逐个宏块地进行调整。

During the rate-distortion optimization process , the Lagrange multiplier is adjusted adaptively according to the visual distortion sensitivity of the encoding macroblocks .

本文首次采用拉格朗日乘子／虚拟区域方法（DLM／FD方法）对聚合物分子链在槽流中的运动进行了数值模拟。

Distributed Lagrange multiplier / fictitious domain method ( DLM / FD ) was used for the simulation of the motion of polymer molecular in channel flow for the first time .

本文对单个及多个颗粒在静止流体中的自由沉降，来流作用下的悬浮和流化，运用拉格朗日乘子／乘子虚拟区域法（DLM／FD）进行了直接数值模拟。

In this paper , particles ' descent in stable fluid and suspended & fluidized by fluid was simulated by distributed Lagrange multiplier / fictitious domain method ( DLM / FD ) .

基于包含轴向变形效应的Euler梁非线性理论，引用梁横向和纵向振动的精确模态描述变形场，利用拉格朗日乘子法建立起柔性多体系统约束非线性动力学方程。

The nonlinear dynamic problems of flexible multibody system are investigated . The nonlinear Euler beam theory with inclusion of axial deformation effect is employed and its deformation field is described by the exact transverse vibration modes and longitudinal vibration modes .

本文根据不完全广义余能原理重新推导了Reissner方程，使应力函数ψ以拉格朗日乘子的方式从变分中自然引出，同时明确了Reissner方程的解的结构。

Reissner equations of elastic plate are derived on the bases of incomplete generalized variational principle of complementary energy . The stress function is obtained from the variational calculation in the form of Lagrange multiplier . The structure of solution of Reissner equations is thus determined .

本文应用自由焓极小值原理详细推导了含有惰性组分的复杂气态物系化学平衡的计算方法。得到改进的W-J-D法及拉格朗日乘子法。

The present paper derived the computation methods of chemical equilibria for complex gaseous systems containing inert components using minimization principle of Gibb ′ s free energy , Modified W-J-D method and Lagrange multipliers are obtained .

框支剪力墙计算的拉格朗日乘子法

The Calculation of Column Supported Shear-wall Structures Using Lagrangian Multiplier

拉格朗日乘子的高价估计及其应用

A high order estimate of Lagrange multipliers and its application

最优潮流；经典经济调度；拉格朗日乘子；

Optimal power flow Classical economic dispatch Lagrangian multiplier - ;

广义拉格朗日乘子的虚拟区域法在泊松问题中的应用

Fictitious Domain Method with Generalized Lagrange Multipliers for Poisson Problems

抛物问题的拉格朗日乘子区域分解法

Solving parabolic problems by domain decomposition methods with Lagrangian multipliers

通过拉格朗日乘子的引入，建立能量泛函，得出判定极值的二次型。

Then the potential energy is set up using Lagrangian multiplication factors .

文中采用拉格朗日乘子技术使问题得以分解；

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