convex optimization中文是什么意思
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用"convex optimization"造句"convex optimization"怎么读"convex optimization" in a sentence
中文翻译手机版
- 凸规划
- "convex"中文翻译 adj. 中凸的,凸圆的,凸面的。 n. 凸状,凸面,凸 ...
- "optimization"中文翻译 n. 最佳化,最优化。
- "convex" 中文翻译 : adj. 中凸的,凸圆的,凸面的。 n. 凸状,凸面,凸圆体。 convex glasses 远视眼镜,老花眼镜。 adv. -ly
- "optimization" 中文翻译 : n. 最佳化,最优化。
- "convex mirror; convex lens" 中文翻译 : 凸镜
- "bi convex" 中文翻译 : 双凸面
- "concave and convex" 中文翻译 : 凹面和凸面; 凹凸
- "concave convex" 中文翻译 : 凹凸的; 凹凸度; 凹凸形的
- "concave-convex" 中文翻译 : 凹凸的; 凹凸形
- "concavo convex" 中文翻译 : 凹凸的; 凹凸形
- "concavo-convex" 中文翻译 : adj. 一面凹一面凸的,凹凸的。
- "convex analysis" 中文翻译 : 凸分析
- "convex angle" 中文翻译 : 凸角
- "convex arc" 中文翻译 : 凸弧
- "convex arch" 中文翻译 : 内外三心拱
- "convex array" 中文翻译 : 凸阵式扫描探头
- "convex bank" 中文翻译 : 凸岸
- "convex barrel" 中文翻译 : 凸形辊身
- "convex bead" 中文翻译 : 凸焊道
- "convex bedding" 中文翻译 : 凸型层理
- "convex bend" 中文翻译 : 凸弯管
- "convex billet" 中文翻译 : 凸形钢坯
- "convex bit" 中文翻译 : 凸面不取心金刚石钻头
- "convex bobbin" 中文翻译 : 鼓形筒子; 凸肚形筒子
- "convex body" 中文翻译 : 凸体
例句与用法
- A quasi - newton method on convex optimization
求解凸规划问题的一种拟牛顿算法 - For some special cases , the deterministic convex optimization problems are derived
对某些特殊的情形,我们导出了鲁棒线性最优化的确定性等价问题。 - This paper presents an interior trust region method for linear constrained lc ^ 1 convex optimization problems
摘要本文提出一种解线性约束凸规划的数值方法。 - Then by building and solving the convex optimization problem , the optimal upper bound of performance index and parameters of the state feedback controller is given
通过建立、求解凸优化问题得到最优极小极大控制器参数和性能指标的最小上界。 - Abstract : this paper considers the decentralized stabilization problem via local state feedback control laws for a class of large - scale linear discrete - time systems with delay interconnections . a sufficient condition for decentralized stabilizability is derived and is expressed as a system of linear matrix inequalities . furthermore , the problem of designing a decentralized state feedback control law with smaller feedback gain parameters is formulated as a convex optimization problem , and latter can be solved by using existing efficient convex optimization techniques . the obtained controller enables the closed - loop systems to be not only stable , but also of any prescribed stability degree
文摘:用一组线性矩阵不等式给出一类线性离散时滞大系统分散能镇定的一个充分条件,进而,通过建立和求解一个凸优化问题,提出了具有较小反馈增益参数的分散稳定化状态反馈控制律的设计方法.所得到的控制器不仅使得闭环系统是稳定的,而且还可以使得闭环系统状态具有给定的衰减度 - For state systems and semistate ( singular ) system , respectively , the problems of robust stability and the design of robust controller have been investigated based on linear matrix inequality ( lmi ) , according to lyapunov - razumikhin stability and convex optimization theory , and barbalat ' s lemma and nonsingular linear transformation of model reduction , respectively
针对完全状态系统,采用lyapunovrazumikhin稳定性理论以及凸优化等重要理论,以线性矩阵不等式作为研究的工具,研究了鲁棒稳定性、鲁棒控制器的设计问题;针对不完全状态(奇异)系统,基于barbalat引理以及非奇异线性降阶变换,研究了奇异系统的鲁棒稳定性、鲁棒控制器的设计问题。 - First of all , for uncertain systems and state - delayed uncertain systems , the residual generators are constructed based on full - order filters , and the fault detection and isolation problems for these two classes of systems are reduced to h filtering problems by using h control theory . the fault detection filter design is formulated as convex optimization problem subject to lmi constraints in terms of linear matrix inequalities , which can be solved readily by using standard numerical software
首先,针对非时滞不确定系统和具有状态时滞的不确定系统,采用全阶滤波器构造残差产生系统,利用h控制理论将这两类系统的故障检测与分离问题转化为h滤波问题,采用线性矩阵不等式技术将鲁棒故障检测滤波器的设计转化为具有线性矩阵不等式约束的凸优化问题,可利用标准的数学软件求取。 - In this essay , some important concepts about slt are firstly introduced i . e . srm and vc dimension to illustrate that svm holds excellent capability of generalization . in addition , the concept and process of answering of svm is also introduced to illustrate that svm is a sort of convex optimization issue whose answer has characteristics of global optimum
本文首先引入了统计学习理论的一些关键概念:结构最小化原则和vc维等,以说明支持向量机具有良好的推广性能,接着介绍了支持向量机的概念和求解过程,从中可看出支持向量机是一种凸优化问题,其解具有全局最优的特点。
百科解释
Convex minimization, a subfield of optimization, studies the problem of minimizing convex functions over convex sets. The convexity property can make optimization in some sense "easier" than the general case - for example, any local minimum must be a global minimum.
详细百科解释
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