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feasible set in Chinese

Pronunciation:
How to pronounce "feasible set"Use "feasible set" in a sentence
TranslationMobile
  • 可行集合
  • 可行解集合
Examples
  • 2 . vector f - complementarity problem , general vector variational inequality , and least element problem of feasible set
    向量f -互补问题,广义向量变分不等式以及可行集的最小元问题。
  • We develop the model by drawing into the concept of " pareto optimality " and use the concepts of feasible set and validation set to analyze the target function
    同时,有创意的引入“帕累托最优”概念模型进行改进,还将投资学中的马柯维茨关于可行集和有效集的概念与目标函数进行了类比分析。
  • We use a scaling matrix which make the algorithm generate sequences of point in trust region and the interior of the feasible set . because of the boundedness of the trust region , trust region algorithm can use non - convex approximate models
    构造合理的仿射变换矩阵,在投影空间构造信赖域子问题,产生迭代方向,使迭代点既保持在信赖域内,又是严格可行域的内点。
  • As for price control problem , some properties of its feasible set are summarized ; the price control problem with non - unique lower - level solutions is studied and an expected return model is given , which is beneficial to the investigations on practical problems
    对价格控制问题,总结了其可行集的性质,就下层反应不唯一的价格控制问题进行了探讨,给出了它的一个期望模型,使其更便于对实际问题的研究。
  • Secondly , the penalty coefficient may converge to infinity in many situations when the iterative point is closely near the bound of feasible set , while the parameters are bounded if the solution set of constrained optimization is nonempty , which is available for numerical computation
    另外在很多情况下,罚函数法中的罚因子当迭代点接近可行域边界时趋于无穷大,而参数控制算法中,只要约束优化问题有最优解,则参数是有界的,这对数值计算是有利的。
  • In this paper , several classes of vector f - complementarity problems , which are the vector form of f - complementarity problems ( fcp ) , are introduced and studied . the relations of the vector f - complementarity problems , general vector variational inequalities , and least element problems of feasible set are given under certain conditions
    在本文中作者引入了f -互补问题( fcp )的向量形式- - -向量f -互补问题,并在一定条件下给出了几类向量f -互补问题,广义向量变分不等式问题与向量可行集的最小元问题之间的联系。
  • For problems whose objective function or constraint functions have sharp curves on their contour maps ( such as the rosenbrock ' s function which has banana shape contours ) , monotonicity may cause a series of very small steps , causing a huge number of iteration to reach their solutions . by using the nonmonotone technique , we get the sequence of successful interative point which should make the objective function mono - tonically decreasing . hence , we use both trust region strategy and line search technique and make each iterate generate an acceptable trial step in interior feasible set as next interative point
    我们利用非单调技术得到使目标函数非单调下降的迭代点,因为非单调克服高度非线性化函数的求解问题,从而避免了只使用单调搜索在“峡谷”现象局部最优解被卡的情况,我们用信赖域策略和非单调线搜索技术相结合的方法,使算法产生的迭代步落在可行域内点,同时又在信赖域内满足接受准则。
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