求线性约束凸规划问题的最优解。
Objective: To search optimal solutions of convex programming problems with linear constraints.
本文提出一种解线性约束凸规划的数值方法。
This paper presents an interior trust region method for linear constrained LC convex optimization problems.
电子电路的优化设计是非线性约束优化问题。
The Optimal design of electronic circuits is a problem of constrained optimization.
求解非线性约束规划的全局最优解是一个难点。
Solving the global optimal solution for nonlinear constrained programming is difficult.
线形规划：求线性函数在线性约束下达最值的问题。
Linear planning: it's the issue for computing the minimum or maximum value of linear function under the linear constraint.
本文对线性约束不可分离凸背包问题给出了一种精确算法。
In this paper, we present an exact algorithm for solving nonseparable convex knapsack problems with linear constraints and bounded integer variables.
结构方程系数矩阵线性约束下的完全信息极大似然估计法。
The first is the full information maximum likelihood method with linear constraint of coefficient matrixes in structure equation.
布局优化是NP难问题，也是复杂的非线性约束优化问题。
Layout optimization is an NP-hard problem. It also belongs to complex nonlinear constrained optimization problem.
利用广义逆矩阵的特性，改进了线性约束梯度投影法的理论。
In this paper, the theory of gradient projection methods for linearly constrained optimization formerly fomulated by the author is further 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。
In this paper, penalty parameter for linearly constrained 0-1 quadratic programming is improved.
还分析了不同开度情况下非线性约束对自振周期和振幅的影响。
The effect of nonlinear binding force on period and amplitude are also analyzed.
针对非线性约束问题，提出了一种新的、可行的混沌优化算法。
A new, feasible chaos optimization algorithm is presented to nonlinear constrained programming problem.
目的建立求解一类线性约束非线性凸规划的简单可行的神经网络。
AimTo construct the simple and feasible neural networks for solving a class of linearly constrained convex programming problems.
在求解非线性约束规划问题中，对其约束条件的处理是一个难点问题。
It is difficult to handle constrained conditions in solving nonlinear constrained programming.
提出了一种基于梯度投影矩阵下的求解线性约束下规划问题的神经网络。
A novel neural network is proposed, which solve the programming problems with linear restraints based on gradient projecting matrix.
在模型试验时，发现巨型浮体闸门在非线性约束下有大幅度的谐和振荡。
Under the nonlinear binding forces the oscillations of a large floating gate are discussed. The harmonious oscillations with large amplitudes on the gate are discovered in the scale model.
基于梯度下降思想提出离散修复算子，提高算法对非线性约束的处理能力。
Discrete repair operator is presented on the basis of the theory of gradient to improve the performance of the algorithm in solving non-linear constraint.
可行方向法（简称为MFD）是用于求解非线性约束最优化重要的方法之一。
The method of feasible directions (MFD for short) is an important method for solving nonlin-early constrained optimization.
本文提出了一种新的适用于处理非线性约束下线性规划问题的全局优化算法。
A new global optimal algorithm is presented to solve linear programming problems with nonlinear constraints.
将基于格雷码的遗传算法用于求解结构的混合离散变量非线性约束优化问题。
The genetic algorithms, which is based on Gray code, is applied to structure design optimization with mixed discrete variables and nonlinear constraint.
该文首先给出了求在线性约束下极小化有限个阶梯函数和的一种分枝定界算法。
This paper first presents a branch-and-bound algorithm to minimize a finite sum of stair-case functions under linear constraints.
基于混沌神经网络模型可以有效地解决高维、离散、非凸的非线性约束优化问题。
The Chaotic neural network model can be used to solve many multi-dimensioned, discrete, non-convex, nonlinear constrained optimization problems.
提出了一种基于线性约束最小方差波束形成(LCMV)的自适应方向图控制方法。
An adaptive pattern control method based on linearly constrained minimum variance (LCMV) is presented.
对于非线性约束最优化，提出了一个自动调节罚因子的信赖域类型的逐次线性算法。
This paper proposes a trust-region-type succesive linear algorithm with self-adjusted penalty parameter for nonlinear constrained optimization.
此类规划问题包含有大量的整数规划及非线性约束，因而被广泛认为是一类NP难题。
Because the planning problem includes integral constrains and nonlinear constrains, it is always a NP hard problem.
该模型通过引入权系数，使多目标问题转化为一个二次目标、线性约束的二次规划问题。
The weight coefficient was introduced into the model, and the multi-objective problem was changed into a quadratic-programming problem.
研究了线性约束的非线性凸规划问题，基于最优性的充要条件，提出了求解它的一个神经网络。
The paper studies the nonlinear programming problem with linear constraints. Based on its optimality conditions, a neural network for solving it is proposed.
研究了线性约束的非线性凸规划问题，基于最优性的充要条件，提出了求解它的一个神经网络。
The paper studies the nonlinear programming problem with linear constraints. Based on its optimality conditions, a neural network for solving it is proposed.
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