搜索结果: 1-7 共查到“理学 linear constraints”相关记录7条 . 查询时间(0.078 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints
耦合 线性约束 非光滑 非凸极小问题 基本对偶交替 近端梯度算法
2023/4/14
Nonconvex minimax problems have attracted wide attention in machine learning, signal processing and many other fields in recent years. In this paper, we propose a primal dual alternating proximal grad...
Explicit Bounds for Entropy Concentration under Linear Constraints
maximum entropy concentration bounds linear constraints tolerances
2011/9/23
Abstract: Consider the construction of an object composed of $m$ parts by distributing $n$ units to those parts. For example, say we are assigning $n$ balls to $m$ boxes. Each assignment results in a ...
Explicit Bounds for Entropy Concentration under Linear Constraints
maximum entropy concentration bounds linear constraints tolerances
2011/8/19
Abstract: Consider the construction of an object composed of $m$ parts by distributing $n$ units to those parts. For example, say we are assigning $n$ balls to $m$ boxes. Each assignment results in a ...
Classical GR as a topological theory with linear constraints
Classical GR topological theory
2010/12/27
We investigate a formulation of continuum 4d gravity in terms of a constrained topological (BF) theory, in the spirit of the Plebanski formulation, but involving only linear constraints, of the type ...
Classical GR as a topological theory with linear constraints
Classical GR topological theory linear constraints
2010/12/20
We investigate a formulation of continuum 4d gravity in terms of a constrained topological (BF) theory, in the spirit of the Plebanski formulation, but involving only linear constraints,
The study of multivariate temporal data using PCA under linear constraints (PCA-LC)
PCA Rayleigh quotient linear constraints R-criteria
2010/9/10
PCA under Linear Constraints (PCA-LC) is a PCA in which we impose to the principal axis and components to belong to some sub-spaces. The Idea is to look for the principal axis and components by the op...
This paper considers the concave minimization problem with linear
constraints, proposes a technique which may avoid the unsuitable
Karush-Kuhn-Tucker points, then combines this technique with Frank-...