New Efficient Utility Upper Bounds for the Fully Adaptive Model of Attack Trees

2013 ◽  
pp. 192-205 ◽  
Author(s):  
Ahto Buldas ◽  
Aleksandr Lenin
Keyword(s):  
Upper Bounds ◽  
Adaptive Model ◽  
Fully Adaptive ◽  
Attack Trees

Fully-adaptive bots for first-person shooter games

2010 ◽  
Author(s):  
Jonathan Miles ◽  
Tony C. Smith
Keyword(s):  
First Person ◽  
Fully Adaptive ◽  
First Person Shooter

Competitive Capacity and Modernization of the Russian Economy

2004 ◽  
pp. 4-34 ◽  
Author(s):  
E. Yasin ◽  
A. Yakovlev
Keyword(s):  
Present State ◽  
Transition Economy ◽  
Adaptive Model ◽  
Russian Economy

Having analyzed the present state of the Russian economy the authors come to the conclusion that the only reasonable goal of its modernization is achieving high competitive capacity of production. External and internal competitive capacity is analysed in detail basing on broad statistics as well as competitive capacity of institutions and their changes, the adaptive model of transition economy. According to the authors implementation of competitive capacity policy as a national idea should take into account long-term perspective.

Extension of the Spatial PDI Model to Three Dimensions

1997 ◽  
Vol 84 (1) ◽  
pp. 176-178
Author(s):  
Frank O'Brien
Keyword(s):  
Population Density ◽  
Dimensional Space ◽  
Finite Lattice ◽  
Three Dimensional ◽  
Upper Bounds ◽  
Three Dimensions ◽  
Lower And Upper Bounds ◽  
Density Index ◽  
Three Dimensional Space

The author's population density index ( PDI) model is extended to three-dimensional distributions. A derived formula is presented that allows for the calculation of the lower and upper bounds of density in three-dimensional space for any finite lattice.

Energy of spherical fuzzy graphs

2020 ◽  
pp. 321-332
Author(s):  
S. Yahya Mohamed ◽  
A. Mohamed Ali
Keyword(s):  
Adjacency Matrix ◽  
Upper Bounds ◽  
Fuzzy Graph ◽  
Lower And Upper Bounds ◽  
Fuzzy Graphs

In this paper, the notion of energy extended to spherical fuzzy graph. The adjacency matrix of a spherical fuzzy graph is defined and we compute the energy of a spherical fuzzy graph as the sum of absolute values of eigenvalues of the adjacency matrix of the spherical fuzzy graph. Also, the lower and upper bounds for the energy of spherical fuzzy graphs are obtained.

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