The progression of scientific computing resources has enabled the numerical approximation of mathematical models describing complex physical phenomen…

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

In this letter, we introduce a novel pilot design approach that minimizes the total mean square errors of the minimum mean square error estimators of…

In this paper we present a new algorithm called Raffica algorithm for Single Source Shortest Path. In random graph, this algorithm has $\Theta(M)$ ti…

To understand the sophisticated control mechanisms of the human's endocrine system is a challenging task that is a crucial step towards precise medic…

Quantifying similarity between data objects is an important part of modern data science. Deciding what similarity measure to use is very application …

Efficient exchange of information is an essential aspect of intelligent collective behavior. Event-triggered control and estimation achieve some effi…

This paper contributes improvements on both the effectiveness and efficiency of Matrix Factorization (MF) methods for implicit feedback. We highlight…

Graphs are a natural abstraction for many problems where nodes represent entities and edges represent a relationship across entities. An important ar…

This work considers energy management in a grid-connected microgrid which consists of multiple conventional generators (CGs), renewable generators (R…

We investigate a singularly perturbed, non-convex variational problem arising in materials science with a combination of geometrical and numerical me…

We analyze long range wave propagation in three-dimensional random waveguides. The waves are trapped by top and bottom boundaries, but the medium is …

The paper presents a novel method for designing an optimal controller for discrete-time switched linear systems. The problem is formulated as one of …

A hybrid dynamical system switches between dynamic regimes at time- or state-triggered events. We propose an offline algorithm that simultaneously es…

The rules to write out any one of the linearly independent functions belonging to the infinite set of those in polynomial form that satisfy the sourc…

Current state of the art preconditioners for the reduced Hessian and the Karush-Kuhn-Tucker (KKT) operator for large scale inverse problems are typic…

Many standard conversion matrices between coefficients in classical orthogonal polynomial expansions can be decomposed using diagonally-scaled Hadama…

Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are no good dynamic simulation tool…

We study for the first time Schwarz domain decomposition methods for the solution of the Navier equations modeling the propagation of elastic waves. …

We study the stability of non-relativistic polytropic stars within two modified gravity theories i.e., Beyond Horndeski gravity and Eddington inspire…

By signing up you accept our content policy

Already have an account? Sign in

No a member yet? Create an account