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Lagrangian相关的网络例句

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An exact augmented Lagrangian function for the nonlinear nonconvex programming problems with inequality constraints was discussed.

对求解带有不等式约束的非线性非凸规划问题的一个精确增广Lagrange函数进行了研究。

Furthermore,under some assumptions,the relationship was also established between the global solutions of the augmented Lagrangian function on some c...

进一步地,在对全局解的一定假设下,还提供了原约束问题的全局最优解与增广Lagrange函数,在原问题变量空间的一个紧子集上的全局最优解之间的一些对应关系。

The author develops a urban traffic control model and derives the optimality conditions of traffic control by optimization theory and Lagrangian function.

然后,在享受现代交通工具便利的同时,我们也面临着交通拥挤、堵塞和事故频繁发生等带来的困扰和对国民经济的制约。

In this paper, we start with a new formulation which is proposed based on the K-SVCR method. We then transform it as a complementarity problem and further a strongly convex unconstrained optimization problem by using the implicit Lagrangian function.

在本文中,我们首先在K-SVCR方法的基础上提出了新的模型,然后把新模型转化成一个互补问题,并利用Lagrangian隐函数进一步转化成一个强凸的无约束优化问题。

It is well-known that reduced Hessian method is one of the most efficient methods for solving large scale constrained optimization problems. However, the convergence analysis for the method requires of the positive definiteness of the reduced Hessian of Lagrangian function.

众所周知,既约Hessian方法是求解较大规模约束优化问题的一类有效方法,但已有的这类方法的全局收敛性分析需假定拉格朗日函数的既约Hessian矩阵的一致正定性。

This algorithm involves multi-frame motion compensationk,rate-distortion optimizing strategy with Lagrangian cost function and context-based adaptive arithmetic coding.

根据系统的终点和初始状态,提出了泛横向对称编码和泛纵向对称编码理论,为进一步拓展对称编码理论的应用空间提供了理论基础。

The wavelet analytic method can find out global and local singularity and singular points of function by local maximum of wavelet transform of Lagrangian function which is made up of two constraint functions without regard for contents of optimization and constraint situation.

不管优化内容及约束情况如何,由对约束函数两两构成的拉格朗日函数的小波变换求局部极大值,将奇异点求解出来。本文对n维空间的小波变换寻优方法给予了理论上的研究与证明,并给出了具体的求解方法。

Therefore, from the theoretical point of view, a solution of the constrained problem and the corresponding values of the Lagrange multipliers can be found not only by the well known method of multipliers but also by performing a single unconstrained minimization of the Hestenes-Powell augmented Lagrangian function on the product space of problem variables and multipliers.

因此,从理论的观点来看,原约束问题的解和对应的拉格朗日乘子值不仅可以用众所周知的乘子法求得,而且可以通过对Hestenes-Powell增广拉格朗日函数在原问题变量和乘子变量的积空间上执行一个单一的无约束极小化来获得。

The standard deviation calculation principle; Optimal Reinsurance; Total risk; Upper bound of risk; Change loss; Lagrangian function

标准差计算原理;最优再保险;总风险;风险上界;变换损失;拉格朗日函数

The objective function of the QP problem is a quadratic function which is an approximation of the Lagrangian function of the constrained problem and the constraints of the QP problem are linear approximation of the constraints of the constrained problem.

这些二次规划子问题的目标函数是原约束最优化问题的Lagrange函数的某种二次近似,其约束条件是原约束条件的线性逼近。

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