lagrange multiplier的例句大全

Lagrange multiplier method provides necessary conditions for the constrained extreme value of the function of many variables, so this paper, based on the theory of positive definite quadratic form, proves the sufficient condition for the constrained extreme value of the function of many variables.

拉格朗日乘数法给出了多元函数条件极值的必要条件，本文利用正定二次型理论证明多元函数条件极值的一个充分条件。

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Then we concentrate on the construction of the discrete space of Lagrange multiplier, the space of mortar elements, and the conjugated gradient method for the related saddle point problem.

接着重点讨论了Lagrange乘子的近似空间，即粘接元（mortarelements）空间的建立，以及所引起的离散鞍点问题的共轭梯度迭代解法。

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Through learning of MLP network, Lagrange multiplier vector and threshold value b in decision function, constant in kernel function, restricted value in C-SVM and v-SVM classification can be gotten.

通过多层感知器网络的学习，获得支撑矢量机决策函数中合适的Lagrange乘子矢量及阈值b，以及非线性分类时核函数中的常系数，C-SVM分类和v-SVM分类时的约束值。

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Traditional methods for solving the problem, such as Lagrange multiplier, dynamic programming, direct searching and so on, have the drawbacks of heavy computing cost and difficult to acquire the optimum solution when there are many system units.

传统的用于解决此类问题的方法，如拉格朗日乘子法、动态规划法、直接寻查法等，在系统单元较多的情况下存在着计算量大、难以获取全局最优解等问题。

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

进一步用拉格朗日乘子法求出模型的隐式解；

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

罚函数法非稳态分析的CPU时间比拉格朗日乘子法少。

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The paper pointe out the important role of extended Lagrange function in solving the constrained non-linear program by means of the method of classical Lagrange multiplier& penalty function.

本文从古典的Lagrange函数的乘子法入手，通过对惩罚函数法的分析，指出了增广的Lagrange函数在解决带约束非线性规划问题中的重要作用。

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combined with the dynamic response analysis of a mini car, this paper goes deep into the research on the dynamic response under road excitation and compute the dynamic response of this rear axle using the large mass/ spring method and the lagrange multiplier ( lmt) method.

结合某微型汽车后桥动力响应分析，对道路激励作用下的动力响应问题进行了深入的研究，并用大质量/大刚度法和拉格朗日乘子法计算了该汽车后桥的动力响应。

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Discussed the augment lagrange multiplier algorithm for a class optimal control problems governed by PDEs gave the finite element discretization and its parallel implementation.

讨论了一类由偏微分方程导出的最优控制系统的增广Lagrange乘于算法，给出了有限元逼近及其并行实现算法。

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Second, this paper proposes two kinds of decision-making methods, non-difference curve methods and Lagrange multiplier methods. The optimal decision of speed of economic increase and surplus is made in terms of SEEM curve and Non-difference curve.

根据SEEM特性曲线和由效用函数得到的无差异曲线，提出了用于决策的无差异曲线法和拉格朗日乘数法，并据此得到了最优的经济增长速度和经济剩余组合决策；

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The chapter V researches the isoperimetric problem for Bezier curves with tangent vector constraint, which is to add a constraint on the basis of chapter IV and solve the problem using Lagrange multiplier method.

第五章研究了带切矢约束条件的Bezier曲线中的等周问题，是在第四章实现的等周问题的基础上，多加了一个约束条件，并用拉格朗日乘数法解决这个问题。

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Ample Condition and Deduction of Lagrange Multiplier Rule of Constrained Extreme Value

约束极值拉格朗日乘数法的一个充分条件及其推论

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Reliability analysis of dam based on Lagrange multiplier rule

基于拉格朗日乘数法计算大坝结构可靠度

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Approximate methods for dynamic reliability calculation of stochastic structures RELIABILITY ANALYSIS OF DAM BASED ON LAGRANGE MULTIPLIER RULE

随机结构动力可靠度估计算法的对比分析基于拉格朗日乘数法计算大坝结构可靠度

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Applying the method of Lagrange multiplier, the system is optimized for maximum cooling rate and gets the rate general expression.

运用拉格朗日乘数法，以最大制冷量为优化目标，对该系统进行了优化，得到最大制冷量的一般表达式。

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The inference process is formulated as a minimization problem, which is convex and can be solved efficiently with augmented Lagrange multiplier method.

上述矩阵分解过程可以转化为一个最优化问题，这个问题可以借助增广的拉格朗日乘数法解决。

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By means of the Lagrange Multiplier, this paper points out the position of celestial bodies when their azimuth varies the slowest during diurnal motion, thus consummating the conclusion concerned.

用拉格朗日乘数法确定天体周日视运动过程中方位变化速度最慢点的位置，从而使有关结论完整化。

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This paper gives the second order ample condition of Lagrange multiplier rule of constrained extreme value with the quadratic form, and proves it by use of counterevidence with the help of Lagrange theorem of mean value and Taylor formula;

以二次型形式给出约束极值拉格朗日乘数法的一个二阶充分条件，并用反证法由拉格朗日中值定理及泰勒公式予以证明；

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An enhanced target function is built up via Lagrange multiplier and the principle of equal mini rate of consumption increasement and the method of static boiler model analysis are put forward. Also, new requirements on the property of consumption function are introduced.

借助拉格朗日乘数法建立增广的目标函数，提出等耗量微增率准则及静态锅炉模型辨识方法，对耗量函数的性质给出了凸性要求。

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A sufficient condition of second order is given for that solutions given by the Lagrange multiplier method are minimal solutions of the conditional extremum problem.

利用二阶导数给出了用Lagrange乘数法求出的解是条件极值问题的极小值解的一个充分条件。

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