1. 非负约束 ? 非负约束(nonnegative constraints):要求所有 变量都为非负数的约束。 2.1.2 Par问题的数学描述 ? 数学模型(mathematica…wenku.baidu.com|基于1 个网页 例句 释义: 全部,非负约束 更多例句筛选 1. Portfolio Investment with Nonnegative Constraints on Genetic Algorithms 基于遗传算法的非负约束...
2) Linear nonnegative constraints 线性非负约束3) non-negative restriction 非负约束 1. In this paper, by setting up a critical line equation of portfolio investment without or within non-negative restriction, we advance a method to find out the optimal weight of portfolio investment, whether ...
and D. Sasaki (2000), "Non-Negative Quantity Con- straints and the Duration of Punishment", Japanese Economic Review, forthcoming.Lambertini, L. and Sasaki, D. (2002). "Non-negative quantity constraints and the dura- tion of punishment", Japanese Economic Review, 53, 77-93....
Non-linearity arises naturally from the condition that prices and outputs be non-negative. We show standard results on information sharing can be reversed when there is the chance that non-negativity constraints bind: in a homogeneous-goods Cournot duopoly with constant marginal costs, information ...
Nonnegative matrix factorization (NMF) is a technique for analyzing the data structure when nonnegative constraints are imposed. However, NMF aims at minim... Z Liang,Y Li,T Zhao - 《Signal Processing》 被引量: 76发表: 2010年 Subclass discriminant Nonnegative Matrix Factorization for facial ima...
We show that there are strong ties between nonnegative matrix factorization and this family, and provide some straightforward extensions which can help in dealing with shift invariances, higher-order decompositions and sparsity constraints. We argue through these extensions that the use of this approach...
We solve the coupled differential Eqs. (11)–(14) using a fourth order Runge–Kutta method given by Dormand and Prince55with nonnegativity constraints56. We compute the transition matrix elements via Supplementary Eq. (35)and the bath correlation term via Eq. (10). ...
In this article, we propose a first-order primal-dual algorithm for non-negative decomposition problems (where one factor is fixed) with the KL divergence, based on the Chambolle-Pock algorithm. All required computations may be obtained in closed form and we provide an efficient heuristic way ...
Nonnegative matrix factorization with constrained second-order optimization Nonnegative matrix factorization (NMF) solves the following problem: find nonnegative matrices A ∈ R + M × R and X ∈ R + R × T such that Y ≅ AX , gi... ZA Cichocki - 《Signal Processing》 被引量: 199发表...
A max-margin framework for semi-Non-negative Matrix Factorization (MNMF) and Kernel NMF (KMNMF). The proposed framework incorporates the maximum margin constraints within the semi-NMF formulation, in order to jointly find both the factorization matrices and the separating SVM hyperplane with respect...