采用线性矩阵不等式方法，将问题转化为一个线性凸优化算法。
The problem is reduced to a linear convex optimization algorithm via LMI approach.
引入凸优化算法，求解使闭环系统渐近稳定且性能指标上界最小的最优控制器参数。
The convex optimization algorithm was used to get the minima upper bound of performance cost and parameter of optimal minimax controller.
采用线性矩阵不等式技术，将问题转化为一线性凸优化算法，可得问题的全局最优解。
Using the linear matrix inequality (LMI) technique, the problem is converted into a linear convex optimization algorithm so that a global optimization solution is obtained. Finally.
根据凸优化理论，最优保性能标准控制器和最优保性能可靠控制器的设计方法转化为一个线性凸优化算法。
On the basis of convex optimization theory, the design method about optimal guaranteed cost reliable controller and standard controller transform convex optimization arithmetic.
根据凸优化理论，最优保性能标准控制器和最优保性能可靠控制器的设计方法转化为一个线性凸优化算法。
On the basis of convex optimization theory, the design arithmetic method and its steps about optimal guaranteed cost reliable control are provided.
提出了求解一类带一般凸约束的复合非光滑优化的信赖域算法。
In this paper, we propose a new trust region algorithm for solving a class of composite nonsmooth optimization subject to convex constraints.
然后，运用凸优化技术分析了该资源分配问题，并基于拉格朗日对偶法给出了一种子载波和功率最优分配算法。
Then, by use of multiple carrier system's frequency-sharing property and convex optimization, a subcarrier and power optimal allocation algorithm is proposed based on Lagrangian duality theory.
它将机器学习问题转化为求解最优化问题，并应用最优化理论构造算法来解决凸二次规划问题。
SVM transforms machine learning to solve an optimization problem, and to solve a convex quadratic programming problem by the optimization theory and method constructing algorithms.
该参数优化算法可在对偶松弛凸可分规划算法的主循环之外，通过少量参数化扩展得到。
Based on dual relaxation method to extend a special convex separable programming algorithm, this tracking algorithm was constructed by parametric analysis.
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。
Lower approximation algorithm and its solve of convex quadratic programming are also given in this article.
这两类算法是在ML算法基础上放松约束条件，将问题转化为可在多项式时间内解决的凸优化问题。
These two algorithms relax the constraints of ML algorithm and transform it into a convex problem which can be efficiently solved with a polynomial time.
针对电力系统中水火电短期优化调度，这一典型的高维、非凸、非线性优化问题，本文提出一种改进的微分进化算法。
The model based on energy-saving emission reduction and environmental protection, will provided new ideas for optimal scheduling of short-term study of water and thermal power system.
该算法基于凸优化理论，对功率分配、子载波配对、中继选择和用户选择进行了联合优化。
Based on the convex optimization, the algorithm jointly optimizes power allocation, subcarrier pairing, relay selection and user selection.
第六章，由第五章求解无约束问题的多维滤子信赖域修正算法出发，将其推广到界约束乃至凸约束的优化问题。
Numerical results show that the present algorithm is efficient and reliable. The last chapter, we present a modified filter trust region method for bound constrained problems.
修正算法对于凸约束优化问题全局收敛，最后我们通过一组数值试验验证了新算法的实际运行效果。
Global convergence is promoted through the use of the filter and the convergence theory holds for convex constrained problems. Numerical results demonstrate the efficiency of the modified algorithm.
修正算法对于凸约束优化问题全局收敛，最后我们通过一组数值试验验证了新算法的实际运行效果。
Global convergence is promoted through the use of the filter and the convergence theory holds for convex constrained problems. Numerical results demonstrate the efficiency of the modified algorithm.
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