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convex programming meaning in Chinese

凸规划
凸形规划法

Examples

  1. The generalized support vector machines ( gsvms ) was proposed by mangasarian , but it can not be degenerated to the standard svms . in fact , the former only consider the strict convex programming , while the latter considers the convex programming
    Mangasarian提出广义支持向量机,但不包含标准的支持向量机:前者研究一般的严格凸规划问题,而后者针对的是特定的凸规划问题。
  2. At the beginning of their research , they could transform some nonlinear programming into relevant dual , such transformation made some outcome almost similar to linear programming . but if they wanted meaningful results , they had to consider convex programming
    在初期,他们发现可以将某些非线性规划表述为一个相应的对偶规划,且有少量相似于线性规划的结果,但如果希望得到有意义的结果,只能考虑凸规划。
  3. The paper discusses convex programs with an additional reverse convex constraint and gives the properties of the global optimization about this problem . a branch - and - bound algorithm for solving this problem is constructed and the convergence properties of this algorithm is analysed
    讨论带一个反凸约束的凸规划问题.给出了整体最优解的特性,利用此特性借助分枝定界方法,构造出求该问题整体最优解的算法,并进行了收敛性分析
  4. In the progress of deducing the dual of these two problems using the knowledge of convex programming and generalized fenchel theory , you can find lagrange dual of the two programming by lagrange dual in nonlinear programming in this article
    基于凸规划知识和广义的fenchel定理,作者推导出这两类问题的凸对偶规划。同时,发现由非线性规划中lagrange对偶可以获得这两类问题的lagrange对偶规划,且推导过程中没有涉及很深的数学知识,使得应用更为广泛。
  5. This paper consists of three parts as follows , 1 . a nonsmooth convex programming is relaxed to a smooth convex programming by using a cutting - plane , which is constructed by subgradient . an algorithm based on the cutting - plane is presented . in this way , a cutting plane algorithm and it ' s convergence for semide ? nite programming are provided
    利用次微分的概念给出了一种非光滑凸规划割平面的构造技巧,找到了半定规划可行域的一个支撑超平面,从而给出了求解半定规划的一种割平面算法
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Related Words

  1. convex profile
  2. convex body
  3. programming convex
  4. convex condenser
  5. uniformly convex
  6. convex flow
  7. locally convex
  8. convex surface
  9. convex roller
  10. convex barrel
  11. convex probe
  12. convex profile
  13. convex programming model
  14. convex programming problem
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