Abstract. In this paper we present the results of Fluid-Structure Interaction (FSI) computations of an incompressible solid object and laminar incompressible viscous flows using a combined penalty-projection algorithm. The system consists of a fluid region governed by Navier-Stokes equations and a solid domain described by elastic and hyperelastic structure mechanical equations. In particular w...

Article history: Received 17 September 2016 Received in revised form 2 March 2017 Accepted 2 March 2017 Available online 4 March 2017

We address a rate control problem associated with a single server Markovian queueing system with customer abandonment in heavy traffic. The controller can choose a buffer size for the queuing network and also can dynamically control the service rate (equivalently the arrival rate) depending on the current state of the network. An infinite horizon cost minimization problem is considered here. Th...

Interruptions are disruptive because they take time to recover from, in the form of a resumption lag, and lead to an increase in the likelihood of errors being made. Despite an abundance of work investigating the effect of interruptions on routine task performance, little is known about whether there is a link between how quickly a task is resumed following an interruption (i.e., the duration o...

Maynard-Smith (1974) has presented a game of attrition model for animal conflict. He assumed that the penalty function, giving the cost in terms of fitness, of displaying for a given time period, is a linear function of the time of display. Under this assumption he shows that an evolutionary stable strategy (ESS) always exists: one such is a mixed strategy for which display times have a negativ...

Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, because it requires approximate inference. We propose an alternative: learning models with a score function that directly penalizes the cost of inference. Specifically, we learn arithmetic circuits with a penalty on the ...

Although Genetic algorithm (GA), Ant colony (AC) and Particle swarm optimization algorithm (PSO) have already been extended to various types of engineering problems, the effects of initial sampling beside constraints in the efficiency of algorithms, is still an interesting field. In this paper we show that, initial sampling with a special series of constraints play an important role in the conv...