We prove that the set of n×n positive (row-)stochastic matrices and the corresponding set of doubly-stochastic matrices are asymptotically close. More specifically, random matrices within each of these classes are arbitrarily close in sufficiently high dimensions. AMS 2000 subject classifications:Primary 15A51,15A52,15A60, Stochastic Matrices. Let Sn denote the set of n × n stochastic matrices ...

In this paper our propose is to find a common term which is included in the assumptions of theorems proving existence of zeros, implicit functions, fixed points or coincidence points. This new point of view allows us to weaken the assumptions which guarantee the solvability of nonlinear equations and to recommend a possible unified treatment of several classes of operators which appear in the t...

The hypothesis tested was that catches of J. verreauxi recruits (numbers of pueruli to early juveniles) on sea-weed-type collectors were affected by the nearness of the collectors to vegetated reef and relative exposure of the collectors to sea-swell. Numbers of recruits on collectors set far from reef were greater than on collectors near reef. Collectors far from reef may be the first, preferr...

The problem considered in this chapter is how to assess different perceptions of changing socio-technical conflicts. Our approach to the solution to this problem of assessing conflict dynamics is to consider negotiation views within the context of perceptual information systems. Briefly, perceptual information systems (succinctly, perceptual systems) are real-valued, total, deterministic inform...

Much research effort has been devoted to better understanding adversarial examples, which are specially crafted inputs to machine-learning models that are perceptually similar to benign inputs, but are classified differently (i.e., misclassified). Both algorithms that create adversarial examples and strategies for defending against them typically use Lp-norms to measure the perceptual similarit...

OBJECTIVE To evaluate the predictive value of the Radius, Exophytic, Nearness, Anterior, Location nephrometry scoring system and to investigate the influence of its individual components on perioperative outcomes of minimally invasive partial nephrectomy. METHODS Consecutive laparoscopic partial nephrectomy (n = 189) and robotic partial nephrectomy (n = 109) cases from 2007 through 2011 were ...

Much progress has beenmade in the standardization of uncertainty analysis techniques for simulationmodeling but less progress has been made in optimization modeling. Among the various techniques used for optimization modeling under uncertainty, robust optimization (RO) uniquely allows for evaluation and control of the various risks of poor system performance resulting from input parameter uncer...

Accurate localization of mobile nodes has been an important and fundamental problem in underwater acoustic sensor networks (UASNs). The detection information returned from a mobile node is meaningful only if its location is known. In this paper, we propose two localization algorithms based on color filtering technology called PCFL and ACFL. PCFL and ACFL aim at collaboratively accomplishing acc...

Nearest neighbor search is a basic computational tool used extensively in almost research domains of computer science specially when dealing with large amount of data. However, the use of nearest neighbor search is restricted for the purpose of algorithmic development by the existence of the notion of nearness among the data points. The recent trend of research is on large, complex networks and...

OBJECTIVE To investigate the reproducibility and interobserver agreement for R.E.N.A.L. nephrometry scoring system. MATERIALS AND METHODS Two independent radiologists retrospectively analyzed 46 consecutive patients with renal masses, between 2008 and 2012, using the R.E.N.A.L. nephrometry score (RENAL-NS), which is based on the evaluation of five anatomical features of the tumor, as evaluate...