smoothing algorithm

We develop an approach of variational analysis and generalized differentiation to conditioning issues for two-person zero-sum matrix games. Our major results establish precise relationships between a certain condition measure of the smoothing first-order algorithm proposed by Gilpin et al. [Proceedings of the 23rd AAAI Conference (2008) pp. 75-82] and the exact bound of metric regularity for an associated set-valued mapping. In this way we compute the aforementioned condition measure in terms of the initial matrix game data.

هدف اصلی این پژوهش بررسی سه دلیل برای عدم استقبال از صندوق­های شاخصی توسط سرمایه­گذاران و در مقابل سرمایه­گذاری در صندوق­های سهمی توسط ایشان است. دلیل اول عملکرد بهتر صندوق­های در سهام در بلندمدت نسبت به شاخص­کل است. دلیل دوم دستکاری پرتفوی صندوق­های سهمی با استفاده از اثر قیمتی توسط مدیرانشان و کسب بازده بیشتر در کوتاه مدت است. دلیل سوم این است که صندوق­های شاخصی به درستی شاخص دنبال­کننده­شان را ردیابی نمی­کنند. بر اساس نتایج پژوهش دلیل اول و دوم رد و دلیل سوم برای کوتاه­مدت پذیرفته شد.

Growth charts of body mass index (BMI) are constructed from the recent four-year national crosssectional survey data (1999−2002) using parametric quantile regression methods, which are implemented with a newly developed SAS procedure (http://www.sas.com/statistics) and SAS macros.

One of the most challenging issues for investment managers is to find out whether the total value added of each of the constituent groups of assets (deposits, fixed income securities and equity) portfolios of mixed investment funds and stock exchanges can be highly based on which one of the dual decisions, namely selection of asset groups or weighting to each of these groups (asset allocation). In order to measure managers' performance and consequently managers' skills assessment, total value added is used with no consideration of the effect of each selection decision on securities and their weighting. This paper is to answer the above-mentioned question and extend the existing methods. In so doing, the value added of each portfolios of asset portfolios of the above-mentioned investment funds is divided into value added from the allocation of assets (weighing). Likewise, the selection of securities, and thus the skills of the managers of each of these funds based on these two decisions were measured. Given the novice of such funds in the Iranian stock exchange and limited information, the results of this paper show that managers of these funds have no sustainability skills in either of these two dimensions. It is worth noting, however, that any increase in the operating time of these funds as well as using more sophisticated models in which returns and risks are simultaneously investigated, we can provide a more sustainable framework for full assessment of managers' skills.

RSSI based localization techniques are effected by environmental factors which cause the RF signalsemitted from transmitter nodes fluctuate in time domain. These variations generate fluctuations on distance calculations and result false object position detection during localization.Smoothing procedures must be applied on distance values either collectively or individually to minimize these fluctuations. In this study,proposed detection system has two main phases. Firstly, calibration of RSSI values with respect to distances and calculation of environmental coefficient for each transmitter.Secondly, position estimation of objects by applyingiterative trilateration on smoothed distance values. A smoothing algorithm is employed to minimize the dynamic fluctuations of RF signals received from each reference transmitter node. Distances between the reference nodes and the objects are calculated by deploying environmental coefficients. Experimental measurements are carried out to measure the sensitivity of the system. Results show that the proposed system can be deployed as a viable position detection system in indoors and outdoors.