In nonlinear imaging problems whose forward model is described by a partial differential equation (PDE), the main computational bottleneck in solving…

In the present paper we are willing to model anisotropic star by choosing a new grr metric potential. All the physical parameters like the matter den…

A problem of great interest in optimization is to minimize a sum of two closed, proper, and convex functions where one is smooth and the other has a …

Underlay device-to-device (D2D) multicast communication has potential to improve performance of cellular networks. However, co-channel interference a…

We consider the following problem: Does there exist a probability distribution over subsets of a finite partially ordered set (poset), such that a set of constraints involving marginal probabilities of the poset's elements and maximal chains is sati…

We consider the following problem: Does there exist a probability distribution over subsets of a finite partially ordered set (poset), such that a se…

Motivated by the broadcast view of the interference channel, the new problem of communication with disturbance constraints is formulated. The rate-di…

We consider the classical stochastic multi-armed bandit problem with a constraint on the total cost incurred by switching between actions. We prove m…

Low-rank matrix approximations, such as the truncated singular value decomposition and the rank-revealing QR decomposition, play a central role in da…

We present a novel approach to the separability problem for Gaussian quantum states of bosonic continuous variable systems, as well as a collection o…

We present an algorithm that takes as input an $n$-vertex planar graph $G$ and a $k$-vertex pattern graph $P$, and computes the number of (induced) c…

In this contribution, we introduce an efficient method for solving the optimal control problem for an unconstrained nonlinear switched system with an…

In recent years, data has played an increasingly important role in the economy as a good in its own right. In many settings, data aggregators cannot …

Local iterated function systems are an important generalisation of the standard (global) iterated function systems (IFSs). For a particular class of …

The expected level of linkage disequilibrium (LD) in a finite ideal population at equilibrium is of relevance for many applications in population and…

We present two minimum residual methods for solving sequences of shifted linear systems, the right-preconditioned shifted GMRES and shifted recycled …

We consider second order explicit and implicit two-step time-discrete schemes for wave-type equations. We derive optimal order aposteriori estimates …

We consider fundamental limits on the detectable size of macroscopic quantum superpositions. We argue that a full quantum mechanical treatment of sys…

Distance metric learning (DML) is an important task that has found applications in many domains. The high computational cost of DML arises from the l…

SimRank is a similarity measure for graph nodes that has numerous applications in practice. Scalable SimRank computation has been the subject of exte…

The varying-coefficient model is an important nonparametric statistical model that allows us to examine how the effects of covariates vary with expos…

By signing up you accept our content policy

Already have an account? Sign in

No a member yet? Create an account