To identify the critical edges, we propose two novel problems named k -truss minimization problem and k -truss maximization problem. Given a social network G , a positive integer k and a budget b , it aims to find b edges for deletion (resp. addition), which can lead to the maximum ...
maximizationminimizationrearrangementsymmetricuniquenessIn this paper, we investigate two optimization problems related to a quasilinear elliptic equation with p -Laplacian, logistic-type growth rate function such that the admissible set is a class of rearrangements of a fixed function. Under some suitable...
MAXIMIZATION AND MINIMIZATION PROBLEMS RELATED TO A $p$-LAPLACIAN EQUATION ON A MULTIPLY CONNECTED DOMAIN In this paper we investigate maximization and minimization problems related to a p-Laplacian equation on a multiply connected domain in R-2, where the admi... N Amiri,M Zivari-Rezapour - ...
对比记忆法:与“maximization”(最大化)进行对比记忆,两者在词义上形成鲜明对比。 故事记忆法:可以编一个小故事,比如一个商人通过“minimization”成本策略成功降低了生产成本,从而提高了利润。 常用词组 waste minimization 废物最少化 loss minimization 损失最小化 risk minimization 风险最小化 minimization of cost ...
A typical constrained minimization or maximization problem entails a group of physical quantities that are the design variables and another group of constant quantities called problem parameters. From: Progress in Aerospace Sciences, 2017 About this pageSet alert Also in subject areas: Computer Science ...
Syntax is presented under the following headings: Step 1: Initialization Step 2: Definition of maximization or minimization problem Step 3: Perform optimization or perform a single function evaluation Step 4: Post, display, or obtain results Utility functions for use in all steps Definition of M ...
Answer and Explanation:1 No, the surplus variables are not only associated with minimization problems. They may also be related to maximization problems. In fact, there are...
In this review, the measures related to efficiency, either in average or total values, are classified as minimization of the average percent project delay (APPD) if the job duration is deterministic; and maximization of robustness (R) in the cases of the research presented by Zhu et al. (...
Bottou and O. Bousquet. The trade-offs of large scale learning. In Adv. NIPS, 2008. [5] O. Cappe´ and E. Moulines. On-line expectation–maximization algorithm for latent data models. J. Roy. Stat. Soc. B, 71(3):593–613, 2009. [6] J. Duchi and Y. Singer. Efficient ...
For an extensive study of the approximation quality achievable by the weighted sum scalarization for multiobjective minimization and maximization problems in general, see [3]. 1.2 Our contribution We consider multiplicative approximation using general ordering cones for the special case of biobjective ...