A Version-based Approach to Address Flexibility of BPMN Collaborations and Choreographies

The theoretical foundation of the CMA-ES are that for continuous variables with given first two moments, the maximum entropy distribution is the normal distribution and that the

Typically, one considers closed (i.e. compact and without boundary) surfaces S embedded in a spacelike and asymptotically flat hypersurface Σ, which are bounding, i.e. The

Karo´ nski, Luczak and Thomason [9] introduced and investigated a col- oring of the edges of a graph with positive integers so that adjacent vertices have different sums of

In Section 2, we recall the notions of isomorphic left D-modules and equivalent matrices, as well as the effective version of Fitting’s result and the statement of Warfield’s

The Theorem of Gromoll and Grove [7] asserts that if a Riemannian metric on the two-dimensional sphere S 2 has the property that all geodesics are closed, then each geodesic is

If R and S are two commuting normal (of course bounded) operators on an Hilbert space H then, via the Gelfand transform, R and S correspond to some continuous functions on a

In the next section, we provide labeling schemes showing that paths are 1- optimal sw-summable, cycles are 2-optimal sw-summable, wheels are 3-optimal sw-summable, complete graphs

In order to feed the neural network for the embedding step, Node2Vec has to perform a fixed number of random walks starting from each node, with a fixed length.. These walks are