Dealing with several parameterized problems by random methods

2018 ◽  
Vol 734 ◽  
pp. 94-104 ◽  
Author(s):  
Qilong Feng ◽  
Neng Huang ◽  
Xiong Jiang ◽  
Jianxin Wang
Keyword(s):  
Random Methods

What Luck!

2021 ◽  
pp. 113-124
Author(s):  
Andrew C. A. Elliott
Keyword(s):  
Random Methods ◽  
Related Idea ◽  
The World ◽  
Chance Events ◽  
Fortune Telling

Who is the luckiest person in the world? What do we mean by ‘luck’? Luck is usually treated as something persistent, a quality that attaches to people, places or objects. We feel that luck should be balanced, that the wheel of fortune should always rotate to balance things out, but it doesn’t. Fate is a powerful and related idea that destiny pre-ordains the course of our lives. Fortune-telling techniques purport to get a glimpse of fate and to see hidden truths. Somewhat paradoxically, most kinds of divination make use of random methods. The paradox of fairness is explained. It seems, though, that what distinguishes self-described lucky people from those who consider themselves unlucky is a question of attitude, of how one interprets the chance events that have filled our lives.

scholarly journals Random Methods for Fast Exploration of the Raw Video Material

2009 ◽  
Author(s):  
Tijana Janjusevic ◽  
Sergio Benini ◽  
Ebroul Izquierdo ◽  
Riccardo Leonardi
Keyword(s):  
Random Methods ◽  
Video Material

Random Methods for Parameterized Problems

2013 ◽  
pp. 89-100 ◽  
Author(s):  
Qilong Feng ◽  
Jianxin Wang ◽  
Shaohua Li ◽  
Jianer Chen
Keyword(s):  
Random Methods

Quasi-Random Methods for Estimating Integrals Using Relatively Small Samples

SIAM Review ◽  
1994 ◽  
Vol 36 (1) ◽  
pp. 18-44 ◽  
Author(s):  
Jerome Spanier ◽  
Earl H. Maize
Keyword(s):  
Small Samples ◽  
Random Methods

Recipes for Structural Fairness in Games

2017 ◽  
Vol 48 (5) ◽  
pp. 670-694 ◽  
Author(s):  
Precha Thavikulwat
Keyword(s):  
Scoring System ◽  
Variable Number ◽  
Fixed Number ◽  
Structural Aspect ◽  
Market Demand ◽  
Random Methods ◽  
Complete Order ◽  
Number Of Parties

Background. Although fairness is central to society and to games that are taken seriously, the structural aspect of fairness has not been addressed as a problem of games. Aim. To resolve the problem of structural fairness in multi-player, multi-episodic games, especially for business games that are transaction based, where sales result from individual transactions rather than from formulae that aggregate and allocate modeled-market demand. Method. Mathematics and examples are used to clarify positions, present proofs, and show application. Argument. Structural fairness is of three kinds: positional, order, and arrival. Finding. For fixed number of parties, positional rotation assures complete positional fairness, whereas order rotation assures both complete positional fairness and complete order fairness, but only when number-of-party and number-of-episode conditions are satisfied. For variable number of parties, arrival rotation assures fairness to parties added last. The classic Gold and Pray model can be modified to allow supply to affect demand by applying order rotation to stock outs. Application. The rotational procedures apply to business games with modeled and real markets, and may apply to all games with a scoring system that is taken seriously. Conclusion. Games can be structurally fair, but the game that is structurally fair must be a multi-episodic game that incorporates fairness into its design. For assuring structural fairness, proportional and random methods are generally inferior to rotation.

scholarly journals Star: an efficient snow point-sampling method

2010 ◽  
Vol 51 (54) ◽  
pp. 64-72 ◽  
Author(s):  
Cora Shea ◽  
Bruce Jamieson
Keyword(s):  
Spatial Correlation ◽  
Sampling Methods ◽  
Model Fit ◽  
Spatial Studies ◽  
Spatial Continuity ◽  
Point Sampling ◽  
Spatially Correlated ◽  
Random Methods ◽  
Variogram Model ◽  
Elevation Data

AbstractThe changeable, variable and fragile nature of snow creates unique sampling challenges. In this paper, we present Star: an efficient, field-usable method for use in point-sampling spatial studies. We validate the accuracy of the Star method using a comparative Monte Carlo simulation of 1024 detailed samples of elevation data. As spatial snow studies generally attempt to find spatial continuity in layers and other properties, we use variogram ranges to compare the ability of four sampling methods to accurately reveal such spatial correlation. The three methods compared to Star represent gridded, gridded-random and pure-random methods; Star can be described as a linear-random method. The simulation shows Star’s accuracy to be comparable to both gridded and gridded-random methods. Following this comparative process we introduce a new measure of appropriateness for sampling methods: the correct convergence on a variogram model, which we call correct spatial correlation detection. This directly measures how many sampled areas become correctly classified with either spatially correlated or non-correlated variance for a given variogram model fit. In this measure, Star performs equivalently to the other methods, and in correct convergence it performs as well as pure-random sampling.

Prospective evaluation of platelets prepared by single and random methods during 5 days of storage: aspects related to quality and quantity

2002 ◽  
Vol 26 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Bekir Kocazeybek ◽  
Ümit Arabacı ◽  
Hülya Akdur ◽  
Metin Sezgiç ◽  
Selim Erentürk
Keyword(s):  
Prospective Evaluation ◽  
Random Methods
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