… We obtain a sparse domination principle for an arbitrary family of functions 𝑓 (𝑥, 𝑄),
where … On the other hand, our sparse domination principle can be also applied to non-operator …

… is an important elaboration of the technique of sparse domination that has seen significant
… body domination results. To isolate the key point, we state it here in an operator-free version…

… In the proof of our results, those ones in [24] and [60] about sparse domination on spaces
of … with weighted inequalities for commutators by using sparse domination. After adapting [24, …

… as a kind of sparse domination technique, which after … sparse domination method involves
the replacement of the classical maximal operator by averaging operators (also called sparse …

… Now, we describe the general sparse domination method introduced in [22]. Let {fQ}Q∈D
be a family of measurable functions defined on Rn, which we think of it as ‘localizations’ of a …

… 3 A sparse domination principle for commutators In this section we will prove a general sparse
domination principle for iterated commutators, following the line of research started in [20] …

… In this talk I will discuss a sparse domination principle for an arbitrary family of functions f(x, …
recent sparse domination results. In contrast to preceding results, our sparse domination …

… Our approach to the operator-free trace estimator is based on a continuous analogue of the
… The relative error bound below is tight when a few eigenvalues dominate the trace of A, but …

… , the observational data typically provide only sparse information on model parameters. This
… -vector product computations, and thus overwhelmingly dominate the run time (the cost of …

… The introduction of the mean fields introduces operator-free terms in the Hamiltonian given
… Second, we note that M(t) is a sparse matrix, which means that the computational effort can …