… we review two important approximate techniques, highlighting … Clearly, the quality of the
approximation depends on the “… Besides the obvious challenge of devising new approximate …

… probabilistic methods from an accuracy standpoint. In particular, the representative probabilistic
methods … state function approximation was a 2nd order approximation / curvature fitting. …

… reference on probabilistic methods in combinatorics, the Fourth Edition continues to feature
a … combinatorists who use probabilistic methods, discrete mathematics, and number theory. …

… Here I focus on the two types that have been applied to approximate probabilistic cognition:
sampling and variational approximations. Sampling algorithms are stochastic, randomly …

The use of randomness is now an accepted tool in Theoretical Computer Science but not
everyone is aware of the underpinnings of this methodology in Combinatorics - particularly, in …

… of efficient approximation methods to verify quantitative specifications of probabilistic systems.
… time randomized approximation scheme with relative error for probabilistic verification. …

… approximate bisimulation and approximate simulation have been studied in many other
contexts, such as in non probabilistic … players game for probabilistic systems. Games semantics …

… probabilistic rough set approximations can be developed. In Section 4, we critically review
different formulations of probabilistic rough set approx… of probabilistic approximation operators…

… is reasonable to examine the probabilistic aspects of the problem. Reader AidsPurpose:
Tutorial, … This paper deals with an approximate method using Lyapunov functions to obtain a …

… time framework for probabilistic verification and we show the hardness of approximating
probabilities for LT L formulas. In section 4, we give a randomized approximation algorithm to …