AbstractIt has been an open problem to derive a necessary and sufficient condition for a linear tensor product problem to be weakly tractable in the worst case. The complexity of linear tensor product problems in the worst case depends on the eigenvalues {λi}i∈N of a certain operator. It is known that if λ1=1 and λ2∈(0,1) then λn=o((lnn)−2), as n→∞, is a necessary condition for a problem to be weakly tractable. We show that this is a sufficient condition as well
Tractability of multivariate problems has become nowadays a popular re- search subject. Polynomial t...
AbstractWe study the minimal number n(ɛ,d) of information evaluations needed to compute a worst case...
We deal with approximating linear operators Sd that are defined as d weighted tensor products. We co...
AbstractIt has been an open problem to derive a necessary and sufficient condition for a linear tens...
AbstractIt has been an open problem to derive a necessary and sufficient condition for a linear tens...
AbstractIt has been an open problem to derive a necessary and sufficient condition for a linear tens...
AbstractMany papers study polynomial tractability for multivariate problems. Let n(ɛ,d) be the minim...
AbstractWe prove that some multivariate linear tensor product problems are tractable in the worst ca...
AbstractWe study the ε-approximation of linear multivariate problems defined over weighted tensor pr...
AbstractThis paper deals with the worst case setting for approximating multivariate tensor product l...
AbstractWe prove that some multivariate linear tensor product problems are tractable in the worst ca...
We prove that some multivariate linear tensor product problems are tractable in the worst case setti...
AbstractWe study d-variate approximation problems in the average case setting with respect to a zero...
AbstractMany papers study polynomial tractability for multivariate problems. Let n(ɛ,d) be the minim...
We continue the study of generalized tractability initiated in our previous paper “Generalized tract...
Tractability of multivariate problems has become nowadays a popular re- search subject. Polynomial t...
AbstractWe study the minimal number n(ɛ,d) of information evaluations needed to compute a worst case...
We deal with approximating linear operators Sd that are defined as d weighted tensor products. We co...
AbstractIt has been an open problem to derive a necessary and sufficient condition for a linear tens...
AbstractIt has been an open problem to derive a necessary and sufficient condition for a linear tens...
AbstractIt has been an open problem to derive a necessary and sufficient condition for a linear tens...
AbstractMany papers study polynomial tractability for multivariate problems. Let n(ɛ,d) be the minim...
AbstractWe prove that some multivariate linear tensor product problems are tractable in the worst ca...
AbstractWe study the ε-approximation of linear multivariate problems defined over weighted tensor pr...
AbstractThis paper deals with the worst case setting for approximating multivariate tensor product l...
AbstractWe prove that some multivariate linear tensor product problems are tractable in the worst ca...
We prove that some multivariate linear tensor product problems are tractable in the worst case setti...
AbstractWe study d-variate approximation problems in the average case setting with respect to a zero...
AbstractMany papers study polynomial tractability for multivariate problems. Let n(ɛ,d) be the minim...
We continue the study of generalized tractability initiated in our previous paper “Generalized tract...
Tractability of multivariate problems has become nowadays a popular re- search subject. Polynomial t...
AbstractWe study the minimal number n(ɛ,d) of information evaluations needed to compute a worst case...
We deal with approximating linear operators Sd that are defined as d weighted tensor products. We co...