Results 1  10
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582,184
Combining Proxels and Discrete Phases
 In: International Conference on Modeling, Simulation and Applied Optimization
, 2005
"... The analysis of discrete stochastic models such as generally distributed stochastic Petri nets can be done by using state spacebased methods. They describe the behavior of a model by a Markov chain that can be solved mathematically. Formerly this approach often had to be discarded as unfeasible due ..."
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Cited by 3 (3 self)
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to high memory and runtime costs. The recently developed Proxelbased algorithm is a state spacebased simulation method, and has already performed well in several application fields. Experiments suggest, that the selective use of discrete phase approximations could further improve the method, because
Algorithms for Quantum Computation: Discrete Logarithms and Factoring
, 1994
"... A computer is generally considered to be a universal computational device; i.e., it is believed able to simulate any physical computational device with a increase in computation time of at most a polynomial factor. It is not clear whether this is still true when quantum mechanics is taken into consi ..."
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Cited by 1103 (7 self)
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into consideration. Several researchers, starting with David Deutsch, have developed models for quantum mechanical computers and have investigated their computational properties. This paper gives Las Vegas algorithms for finding discrete logarithms and factoring integers on a quantum computer that take a number
Discrete phase space I:
, 811
"... Variational formalism for classical relativistic wave fields ..."
Approximation of discrete phasetype distributions
 In ANSS ’05: Proceedings of the 38th annual Symposium on Simulation
, 2005
"... The analysis of discrete stochastic models such as generally distributed stochastic Petri nets can be done using state spacebased methods. The behavior of the model is described by a Markov chain that can be solved mathematically. The phasetype distributions that are used to describe nonMarkovian ..."
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Cited by 10 (6 self)
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The analysis of discrete stochastic models such as generally distributed stochastic Petri nets can be done using state spacebased methods. The behavior of the model is described by a Markov chain that can be solved mathematically. The phasetype distributions that are used to describe non
Antide Sitter Space, Thermal Phase Transition, and Confinement in Gauge Theories
 Adv. Theor. Math. Phys
, 1998
"... The correspondence between supergravity (and string theory) on AdS space and boundary conformal field theory relates the thermodynamics of N = 4 super YangMills theory in four dimensions to the thermodynamics of Schwarzschild black holes in Antide Sitter space. In this description, quantum phenome ..."
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Cited by 1087 (4 self)
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The correspondence between supergravity (and string theory) on AdS space and boundary conformal field theory relates the thermodynamics of N = 4 super YangMills theory in four dimensions to the thermodynamics of Schwarzschild black holes in Antide Sitter space. In this description, quantum phenomena such as the spontaneous breaking of the center of the gauge group, magnetic confinement, and the mass gap are coded in classical geometry. The correspondence makes it manifest that the entropy of a very large AdS Schwarzschild black hole must scale “holographically ” with the volume of its horizon. By similar methods, one can also make a speculative proposal for the description of large N gauge theories in four dimensions without supersymmetry. March
EVALUATION OF A LAGRANGIAN DISCRETE PHASE
"... Industrial scale bubbling fluidized bed simulations were carried out within the Kinetic Theory of Granular Flows (KTGF). The KTGF was applied within two different modelling frameworks, the traditional Two Fluid Model (TFM) and a new approach in the form of the Dense Discrete Phase Model (DDPM), in o ..."
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Industrial scale bubbling fluidized bed simulations were carried out within the Kinetic Theory of Granular Flows (KTGF). The KTGF was applied within two different modelling frameworks, the traditional Two Fluid Model (TFM) and a new approach in the form of the Dense Discrete Phase Model (DDPM
The Minimal Coefficient of Variation of Discrete Phase Type Distributions
, 2000
"... The paper provides the lower bound of the coefficient of variation of discrete phase type distributions that is a discrete time counterpart of the well known result by Aldous and Shepp [1]. ..."
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Cited by 11 (3 self)
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The paper provides the lower bound of the coefficient of variation of discrete phase type distributions that is a discrete time counterpart of the well known result by Aldous and Shepp [1].
Complete discrete 2D Gabor transforms by neural networks for image analysis and compression
, 1988
"... AbstractA threelayered neural network is described for transforming twodimensional discrete signals into generalized nonorthogonal 2D “Gabor ” representations for image analysis, segmentation, and compression. These transforms are conjoint spatiahpectral representations [lo], [15], which provide ..."
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Cited by 475 (8 self)
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AbstractA threelayered neural network is described for transforming twodimensional discrete signals into generalized nonorthogonal 2D “Gabor ” representations for image analysis, segmentation, and compression. These transforms are conjoint spatiahpectral representations [lo], [15], which
The Theory of Hybrid Automata
, 1996
"... A hybrid automaton is a formal model for a mixed discretecontinuous system. We classify hybrid automata acoording to what questions about their behavior can be answered algorithmically. The classification reveals structure on mixed discretecontinuous state spaces that was previously studied on pur ..."
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Cited by 680 (13 self)
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A hybrid automaton is a formal model for a mixed discretecontinuous system. We classify hybrid automata acoording to what questions about their behavior can be answered algorithmically. The classification reveals structure on mixed discretecontinuous state spaces that was previously studied
Results 1  10
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582,184