minimizationrearrangementsymmetricuniquenessIn 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 assumptions...
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 ...
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 ...
minimisation,minimization- the act of reducing something to the least possible amount or degree or position Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc. Translations Spanish / Español Select a language: ...
Optimization of the SVM Kernels Using an Empirical Error Minimization Scheme Optimization of the SVM kernels using an empirical error min- imization scheme. In Proc. of the international workshop on pattern recognition with support vector machine (pp. 354-369). Berlin: Springer... NE Ayat,M ...
The D-entropy minimization corresponds to both mutual information maximization and minimization. Thus, the method can be used to interpret explicitly internal representations and to improve generalization. The D-entropy minimization was applied to two problems: six alphabet character recognition and the ...
Our minimization problem is analogous to the one generally considered in control theory for networks18, but with the non-trivial goal of accounting for the nonlinearity characterizing Boolean dynamics. We remark that Boolean networks can be mapped to discrete-time linear dynamical systems19. However,...
How are the maximization problems solved using transportation model? Maximization transportation problem can be converted into minimization transportation problemby subtracting each transportation cost from maximum transportation cost. Here, the maximum transportation cost is 25. So subtract each value from 25...
2) constrained minimization 约束极小 1. in the paper, we study a constrained minimization problemwhere Ω is a bounded domain in R2, and Q(v)is defined asWe prove that for ∈(Ω,R3), if∧0,Q()≠ 1,and ∈(Ω,R3),then the above minimization can be achieved. 研究了与等周不...
In Part I of this paper, we proposed and analyzed a novel algorithmic framework for the minimization of a nonconvex (smooth) objective function, subject to... G Scutari,F Facchinei,L Lampariello - 《IEEE Transactions on Signal Processing》 被引量: 87发表: 2016年 An approximation algorithm ...