On the basis of convex optimization theory, the design arithmetic method and its steps about optimal guaranteed cost reliable control are provided.
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。
The paper constructs a new optimal target function for feed forward neural networks according to convex optimization theory and constraint optimization theory.
该文利用凸优化理论和约束优化理论为前馈神经网络构造出了一个新的优化目标函数。
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。
This paper discusses problems arising in system and control theory to a few standard convex optimization problems involving linear matrix inequality (LMI).
本文研究了出现在系统与控制理论中的一些标准的、包含线性矩阵不等式的凸优化问题。
In convex programming theory, a constrained optimization problem, by KT conditions, is usually converted into a mixed nonlinear complementarity problem.
在凸规划理论中，通过KT条件，往往将约束最优化问题归结为一个混合互补问题来求解。
Many important problems of system and control theory can be reformulated as linear matrix inequality convex optimization problems, which is numerically tractable.
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。
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.
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。
And many meaningful and important results in the optimization theory was base on the the convex and some assumptions on the convexity.
而最优化理论的许多有意义的重要结果大都建立在凸性和某些广义凸性的假定上。
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.
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.
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。
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