Quadratic programming (QP) is an NP complete problem.
二次规划(QP)为NP完全问题。
The dual quadratic programming is applied to solving the optimal model of continuum.
利用对偶规划理论对模型进行了求解。
In this paper, a quadratic programming algorithm is presented to solve Max-cut problem.
本文给出了最大割问题的二次规划算法。
A region decomposition method to solve a positive definite quadratic programming is presented.
给出了一个求解正定二次规划的区域分解方法。
In this paper, penalty parameter for linearly constrained 0-1 quadratic programming is improved.
本文改进了带线性约束0 - 1二次规划问题的罚参数下界。
Presents a method to solve quadratic programming problems with advantages of quickness and accuracy.
提出一种求解二次规划问题的方法。这种方法可快速、准确地得到问题的解。
Lower approximation algorithm and its solve of convex quadratic programming are also given in this article.
混合优化控制算法，给出了求解最优控制器的上逼近算法及其凸二次规划求解方法。
The sequential quadratic programming was utilized to avoid the complex calculation in sensitivity analysis.
为了提高计算效率，本文采用序列二次规划法避免了灵敏度分析中的复杂计算。
The quadratic programming problem is obtained when the functional is discretized by the finite strip method.
借助有限条法在矩形域上离散这个泛函，得到了一个特殊的二次泛函的规化问题。
This paper presents a reactive power optimization model that is based on successive quadratic programming methods.
介绍了一种无功优化模型，并基于连续二次规划的方法。
However, the training procedure of support vector machines amounts to solving a constrained quadratic programming.
然而，支持向量机的训练过程等价于求解一个约束凸二次规划。
In this paper we present a new algorithm for solving quadratic programming problem (QP) with quadratic constraints.
在本文中，我们提出了一种解带有二次约束二次规划问题(QP)的新算法。
In this paper, a branch-and-bound method is proposed for non-convex quadratic programming problems with convex constrains.
针对凸约束非凸二次规划问题，给出了一个分枝定界方法。
This paper proposes a decomposition algorithm for large scale quadratic programming with a pseudoconvex objective function.
对于大规模的具有伪凸目标函数的二次规划问题，本文提出一种分解算法。
A new iterative algorithm for quadratic programming is obtained when applying the general algorithm to quadratic programming.
把这种算法应用于二次规划，得到了二次规划的一种新的迭代法。
In this paper, a lower approximating algorithm of large-scale concave quadratic programming in unbounded domain is constructed.
本文给出了无界域上大规模凹二次规划的一种下逼近算法，并证明了算法的收敛性。
The solution of indefinite equations arising from quadratic programming with equality constraints are discussed by ABS algorithms.
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 Hybrid Inverse numerical method is a two-step numerical method, comprising of direct matrix inversion and quadratic programming.
混合逆数值算法是一种两步算法，包含直接矩阵反演求逆和二次规划两个步骤。
In this paper, we are concerned with the sequence quadratic programming (SQP) methods for solving constrained optimization problems.
本文研究求解约束最优化问题的序列二次规划算法(SQP算法)。
The conditions under which there is no duality gap between the semi-infinite quadratic programming and its dual programming are given.
本文给出了半无限二次规划和它的对偶规划之间没有间隙的条件。
Therefore, the optimization problem can be changed to normal quadratic programming form which can be solved by quadratic programming method.
这种方法还可以解决任意形状报价曲线给交易算法带来的困难。
An algorithm of successive quadratic programming (SQP) type is presented to program problems with nonlinear equality and inequality constraints.
建立非线性等式和不等式约束规划问题的一个序列二次规划(sqp)型算法。
The sequential quadratic programming algorithm of optimization toolbox of MATLAB is effectively used to solve the model after it is concisely introd.
在简要介绍MATLAB优化工具箱中的序列二次规划法后，采用该算法求出设计结果。
According to the standard form of MID system, the problem of mixed integer quadratic programming (MIQP) and its mathematics description can be obtained.
根据混合逻辑动态系统的标准形式，转化为混合整数二次规划(MIQP)的问题，同时获得它的数学描述。
We present a new branchandbound algorithm for solving quadratic programming problem with quadratic constraints, and analyze the convergence of the algorithm.
提出了一种解带有二次约束二次规划问题的新的分枝定界算法对该算法进行了收敛性分析。
Sequential quadratic programming (SQP) method is an efficient method for solving smooth constrained optimization problems because of its fast convergence rate.
由于序列二次规划（SQP）算法具有快速收敛速度，所以它是求解光滑约束优化问题的有效方法之一。
The key problem of training support vector machines is how to solve quadratic programming problem, but for large training examples, the problem is too difficult.
训练支持向量机的本质问题就是求解二次规划问题，但对大规模的训练样本来说，求解二次规划问题困难很大。
The predictive model is derived and the solution of a generalized predictive controller with restrictions is changed into a constrained quadratic programming problem.
推导了带约束的预测模型，并将约束广义预测控制的求解化为典型的约束二次规划。
The respective parametric quadratic programming solution can be used to solve the FEM frictional contact problem exactly. The numerical example clarifies the procedure.
参变量二次规划可以用于精确求解，并且通过数例说明了计算方法。
The respective parametric quadratic programming solution can be used to solve the FEM frictional contact problem exactly. The numerical example clarifies the procedure.
参变量二次规划可以用于精确求解，并且通过数例说明了计算方法。
应用推荐