它仅用于求解不等式约束优化问题。
It is only used for solving inequality constrained optimization problem.
满意控制器设计可以完全转化为线性矩阵不等式的求解问题，不需要人工干预选择参数。
The satisfactory controller design problem can be completely transformed to solution of the LMIs without manual intervening in choosing parameters.
从而使问题转化成求解二元线性不等式组的问题，为此可方便地借助计算机求出最佳结果。
The problem is changed to solving the linear inequality group with two unknown, thus, we can get the optimal solution by the computer.
经过推导可以证明，此时导频序列的设计与求解一个约束不等式方程组是等效的。
It can be shown that such a design issue is equivalent to solving a system of linear inequalities.
以矩形目的域为例，按满意控制的思想，利用线性矩阵不等式（LMI）技术，给出了待机控制策略求解的方法与实例。
Taking rectangular target-region as an example, a solution for opportunity-awaiting control is provided based on the theory of satisfactory control and linear matrix inequalities (LMI) approach.
系统规模越大，等式和不等式约束的数目就越多，ATC问题的求解也越困难。
The larger the system is, the more enormous equations and inequations it consists of, and the harder to solve the ATC problem.
新方法的特点是程序简单，可以较精确地求解10维以下的等式或不等式约束问题，无需提供偏导数。
This method is featured by simple procedure, accurate solution of equality or inequality constraints not more than 10.
本文主要讨论求解非线性方程组问题与变分不等式问题的迭代算法。全文共分三章。
This thesis includes three chapters, which mainly discusses the iterative algorithms for solving nonlinear equations problems and nonlinear variational inequality problems.
研究球形约束变分不等式求解的算法，提出一种光滑化牛顿方法，证明了该方法具有全局收敛性和超线性收敛。
In this paper we present a smoothing Newton method for solving ball constrained variational inequalities. Global and superlinear convergence theorems of the proposed method are established.
运用多项式稳定性充分判据，将线性系统的同时镇定问题转化成非线性不等式组的求解。
In this paper, the simultaneous stabilization problem of linear systems is transformed into solving problems of a set of nonlinear inequalities by using a sufficient criterion of polynomial stability.
我们提出一个一般不等式约束优化问题的求解算法。
We present an algorithm for the solution of general inequality constrained optimization problems.
用此观测器不需要估计未知参数及求解线性矩阵不等式。
With the proposed observer, estimating the unknown parameters and solving linear matrix inequalities are not needed.
最后，本文讨论了有多个不等式的含无风险证券的风险偏好模型的求解。
At last, we discuss the risk preference model in which there exist risk-less securities and a few inequality constraints.
控制器的所有参数可以通过求解一组线性矩阵不等式得到。
All the parameters of the controllers can be obtained by solving a linear matrix inequality.
系统与控制理论中的许多问题，都可转化为线性矩阵不等式约束的凸优化问题，从而简化其求解过程。
Many important problems of system and control theory can be reformulated as linear matrix inequality convex optimization problems, which is numerically tractable.
从变分不等式出发，结合有限元，建立了按增量求解薄板弹塑性弯曲问题的线性互补方程。
Finite Elemnent-Linear Complementary Equation is established for analysis of elastoplastic thin plate-bending problems based on variational inequality principle.
提出一个修改的投影类型方法来求解广义变分不等式。
In this paper, we propose a modified projection-type method of the general variational inequalities.
在一般可行集下，结合非光滑方程组解法及投影映射的性质，讨论了法方程求解变分不等式问题的算法构成。
Under general feasible set, in consideration of the algorithms for nonsmooth equations and the properties of projection map, the algorithms using the normal equation to solve are discussed.
第四章给出了求解线性丢番图不等式组的ABS算法及其在整线性规划中的应用。
Chapter four gives ABS algorithms for solving linear Diophantine inequations and their application in integer linear programming.
第三章主要用光滑化方法求解二阶锥约束变分不等式。
The third chapter mainly deals with the smooth method for second-order cone constrained variational inequality problems.
第五章给出了求解超定线性丢番图方程组和不等式组的修正abs算法。
Chapter five presents the modified ABS algorithms for solving linear overdetermined linear Diophantine equations and inequations.
鉴于拟变分不等式求解比较困难，设计了基于混沌优化方法的启发式求解算法。
Since it is difficult to solve quasi-variation inequality, the paper designs a heuristic solution algorithm based on cha…
鉴于拟变分不等式求解比较困难，设计了基于混沌优化方法的启发式求解算法。
Since it is difficult to solve quasi-variation inequality, the paper designs a heuristic solution algorithm based on chaos met...
对非线性不等式约束最优化问题进行了讨论，借助广义投影建立求解问题的一个含系列自由参数的统一算法模型。
Optimization problem with nonlinear inequality constraints is discussed. With the help of the generalized projection, a unified algorithm model with a series of free parameters is presented.
讨论了非线性不等式和等式约束优化问题在退化情形下的求解方法。
This paper discusses optimization with nonlinear equality and inequality constraints under degeneracy.
然后，利用辅助原理技巧，构造了求解广义非线性混合拟似变分不等式问题的迭代算法。
So, in chapter 3, we consider how to use predictor-corrector algorithm to solve some variational inequalities.
它在理论上是多项式算法，并可以从任意点启动，可以应用共轭梯度方法有效地求解大规模线性不等式组问题。
SDNM is a polynomial time algorithm with the Newtons method, so that SDNM can solve large-scale linear inequalities.
它在理论上是多项式算法，并可以从任意点启动，可以应用共轭梯度方法有效地求解大规模线性不等式组问题。
SDNM is a polynomial time algorithm with the Newtons method, so that SDNM can solve large-scale linear inequalities.
应用推荐