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Research involves design, verification using new computational methods for computing reachable sets, and simulation of hybrid systems.
A major point about the nonlinear difference schemes is to obtain reliable and efficient computational methods for computing the solution.
Existing methods for computing such mixtures rely on various heuristics.
Methods for computing these measures of central tendency will be discussed.
Note: This article covers molecular-dynamics-based methods for computing a ligand's binding affinity.
A survey of methods for computing (un)stable manifolds of vector fields.
Subsequently, results of these two 2D methods for computing Z0M are compared with measured values.
The algorithms generalise and improve on the standard methods for computing these objects.
There are usually standard methods for computing homology and cohomology groups, and they are completely known for many spaces.
In this paper we describe two variational methods for computing sensitivities.
We investigate state-space abstraction methods for computing approximate probabilities with Bayesian networks.
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methods for information
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