Template-Based Monte-Carlo Test Generation for Simulink Models

2019 ◽  
pp. 63-78 ◽  
Author(s):  
Takashi Tomita ◽  
Daisuke Ishii ◽  
Toru Murakami ◽  
Shigeki Takeuchi ◽  
Toshiaki Aoki
Keyword(s):  
Monte Carlo ◽  
Test Generation ◽  
Monte Carlo Test

Crossover scaling in semidilute polymer solutions: a Monte Carlo test

1991 ◽  
Vol 1 (1) ◽  
pp. 37-60 ◽  
Author(s):  
Wolfgang Paul ◽  
Kurt Binder ◽  
Dieter W. Heermann ◽  
Kurt Kremer
Keyword(s):  
Monte Carlo ◽  
Polymer Solutions ◽  
Monte Carlo Test

scholarly journals THE EFFECTIVE STRING OF 3D Z2 GAUGE THEORY AS A c = 1 COMPACTIFIED CFT

1993 ◽  
Vol 08 (16) ◽  
pp. 2839-2858 ◽  
Author(s):  
M. CASELLE ◽  
F. GLIOZZI ◽  
S. VINTI ◽  
R. FIORE
Keyword(s):  
Field Theory ◽  
Monte Carlo ◽  
Conformal Field Theory ◽  
Central Charge ◽  
Three Dimensional ◽  
String Tension ◽  
Gauge Model ◽  
Expectation Values ◽  
Monte Carlo Test ◽  
Conformal Field

We report on a high precision Monte Carlo test of the three-dimensional Ising gauge model at finite temperature. The string tension σ is extracted from the expectation values of correlations of Polyakov lines. Agreement with the string tension extracted from Wilson loops is found only if the quantum fluctuations of the flux tube are properly taken into account. The central charge of the underlying conformal field theory is c = 1.

Monte Carlo Test of Theories for the Planar Model, theFModel, and Related Systems

1978 ◽  
Vol 41 (20) ◽  
pp. 1399-1402 ◽  
Author(s):  
William J. Shugard ◽  
John D. Weeks ◽  
George H. Gilmer
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Test ◽  
Planar Model

A Monte Carlo Test of Holgate's New Randomness Tests

1972 ◽  
Vol 2 (2) ◽  
pp. 65-68
Author(s):  
Bijan Payandeh
Keyword(s):  
Monte Carlo ◽  
Spatial Distribution ◽  
Distribution Patterns ◽  
Ratio Test ◽  
Test Statistics ◽  
Monte Carlo Test ◽  
Spatial Distribution Patterns ◽  
Correlation Tests ◽  
Regular Spacing ◽  
Randomness Tests

The performance of Holgate's mean ratio and correlation tests was intensively evaluated on five 48-acre forest tracts and four computer-redistributed populations with specified spatial distribution patterns generated from each tract. These two test statistics were calculated for all possible combinations of distances to the sth and tth (s < t s = 1, 2, 3, 4 and t = 2, 3, 4, 5) nearest trees from each of the 200 randomly selected points. Results indicated that the ratio test may lead to erroneous conclusions when applied to nonrandom distributions. The correlation test was very powerful in detecting regular spacing, but it was not very sensitive in detecting aggregation.

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