in the process of structural analysis we often come to structures that can be analyzed with simpler methods than the standard approaches. for these structures, known as regular structures, the matrices involved are in canonical forms and their eigen-solution can be performed in a simple manner. however, by adding or removing some elements or nodes, such methods cannot be utilized. here, an effi...

Many control techniques employ on-line optimization in the determination of a control policy. We develop a framework which provides suucient convex conditions, in the form of Linear Matrix Inequalities (LMIs), for the analysis of constrained quadratic based optimization schemes. These results encompass standard robustness analysis problems for a wide variety of receding horizon control schemes,...

Background This article conducts a comparative national and subnational government analysis of the political, economic, and ideational constructivist contextual factors facilitating the adoption of obesity and diabetes policy.   Methods We adopt a nested analytical approach to policy analysis, which combines cross-national statistical analysis with subnational case study comparisons to examine...

This study aims to analyze the competitiveness of shallot farming in South Buton Regency and impact government policies on that competitiveness. The research sample is 73 people. Data analysis using Policy Analysis Matrix (PAM) shows has terms from aspect competitive comparative advantage with PCR DRCR values less than one. line level private social benefits which a positive value. output side ...

In this paper we analyze a controlled retrial queue with several exponential heterogeneous servers in which the time between two successive repeated attempts is independent of the number of customers applying for the service. The customers upon arrival are queued in the orbit or enters service area according to the control policy. This system is analyzed as controlled quasi-birth-and-death (QBD...

Sample efficiency is a critical property when optimizing policy parameters for the controller of a robot. In this paper, we evaluate two state-of-the-art policy optimization algorithms. One is a recent deep reinforcement learning method based on an actor-critic algorithm, Deep Deterministic Policy Gradient (DDPG), that has been shown to perform well on various control benchmarks. The other one ...

Figure 1: HIVEBEAT provides views for overview and detail analysis: a) Time Slider browsing over 2 1/2 day logs, b) Data Filter complex time dependend filter operations, c) Geographic Map aggregated values per facility, d) Parallel Coordinates machines as polylines at a single time step, e) Selection Management store selections, set operations on the data, f) Swim Lanes machines as polylines ov...

OBJECTIVE To review how countries of the WHO European Region address issues related to the catering sector in their nutrition policy plans. DESIGN Documentary analysis of national nutrition policy documents from the policy database of the WHO Regional Office for Europe by a multidisciplinary research team. Recurring themes were identified and related information extracted in an analysis matri...