Results 321 to 330 of about 5,213,227 (370)

Normalized restricted random testing

2010
Restricted Random Testing (RRT) is a new method of testing software that improves upon traditional random testing (RT) techniques. This paper presents new data in support of the efficiency of RRT, and presents a variation of the algorithm, Normalized Restricted Random Testing (NRRT).
Towey, D, Chen, TY, Chan, KP
openaire   +1 more source

Averages in restricted random walks

Journal of Physics A: Mathematical and General, 1981
In configurational studies of polymer chains one is sometimes concerned with averages in the presence of restrictions, e.g. that the end-to-end distance of the chain is R. The standard method of calculating such averages is to assume that the separation of all pairs of elements is Gaussian.
openaire   +1 more source

Random graphs from restricted classes

2016
1 Boltzmann generation of Random Combinatorial Structures Our aim is to describe a general purpose sampling algorithm for a given class of graphs. Notation: we denote by A any class of graphs, and write A = ⋃ n≥0An, where An consists of all elements of A that have n vertices. We will always assume that graphs are welllabeled, meaning that each graph in
openaire   +1 more source

Evolution of Restricted Randomization with Maximum Tolerated Imbalance

, 2017
Wenle Zhao
semanticscholar   +1 more source

Part II: Restricted Randomization

, 2015
O. Sverdlov
semanticscholar   +1 more source

Engineering organoids

Nature Reviews Materials, 2021
Moritz Hofer, Matthias P Lutolf
exaly  

Inference Based on General Linear Models for Order Restricted Randomization

, 2013
O. Ozturk, S. MacEachern
semanticscholar   +1 more source

A New Proposal for Setting Parameter Values in Restricted Randomization Methods

Methods of Information in Medicine, 2007
G. Kundt
semanticscholar   +1 more source

A restricted random walk model

1979
Consider a particle that starts at the origin and that can move in one step from the position (x,y) to the positions \((x+1,y)\), \((x,y+1)\) or \((x+1,y+1)\). The authors derive the generating function of the probability that the particle will be at \((x,x+\beta)\) after t steps never reaching the lines \(y=x+a\) and \(y=x-b\).
Gupta, A., Sen, K.
openaire   +2 more sources

Comparison of Optimality Criteria of Reduced Models for Response Surface Designs with Restricted Randomization

, 2012
A. Chukwu, Y. Yakubu
semanticscholar   +1 more source