Sentence examples for enumerating the space from inspiring English sources

We finally describe the technical details of the algorithm for enumerating the space of microstates, and introduce a simple method for computing the steady state landscape probability distribution.

This paper considers a finite capacity fork join queueing model for open assembly systems with arrival and departure synchronizations and presents an approach for enumerating the state space and obtaining the steady state probabilities of the same for such a model under exponential assumptions.

In this paper, we discuss applying this approach to solving factored MDP problems we avoid enumerating the state space by describing large blocks of "equivalent" states in factored form, with the block descriptions being inferred directly from the original factored representation.

In this paper, we study the problem of enumerating the state space of a molecular network with small copy numbers of molecular species.

Statistical approaches based on the same measures, but which circumvent enumerating the state space by using simulation, suffer the same limitation when expressing frequency.

Cao and Liang (2008); Schultz et al. (2007) already made some efforts to analyse small stochastic networks by analysing effects of small numbers of molecules on the stability of switches and by proposing an algorithm to enumerate the state space for spaces with small copy numbers with a limited number of newly produced molecules, respectively.

In this study, we have developed an algorithm to enumerate the state space of a molecular network of small copy numbers with a buffer containing a finite number of molecules that can be synthesized.

The maximum copy number of net gain in newly synthesized molecules of the system is restricted by this constant B. Our aim is to enumerate the state space X under this given initial condition.

Computational design of sequences for a given structure is generally studied by exhaustively enumerating the sequence space or by searching in such a large space, which is prohibitively expensive.

BLP is able to predict solutions with the smallest/largest set of EM contributing to the metabolic functionality and distinguish between those two extremes without enumerating the full solution space.

In general, the dynamic behavior of discrete models is simulated by starting from an initial state and then enumerating the changing state space as each species is updated over a specified number of iterations called time steps.