Parallel algorithms for shared-memory machines. In J. 27] Y. Matias and U. Vishkin. Converting high probability into nearly-constant time|with applications to parallel hashing. 6] O. Berkman and Y. Matias. Fast parallel algorithms for minimum and related problems with small integer inputs. 11] J. Edmonds. Lower bounds with smaller domain size on concurrent write parallel machines. Lower bounds ...

Effect of nonlinear thermal radiation on the unsteady magnetohydrodynamic slip flow of Casson fluid between parallel disks in the presence of thermophoresis and Brownian motion effects are investigated numerically. A similarity transformation is employed to reduce the governing partial differential equations into ordinary differential equations. Further, Runge-Kutta and Newton’s methods are ado...

The high-level contribution of this paper is a simulation based analysis of the network connectivity, hop count and lifetime of the routes determined for mobile ad hoc networks (MANETs) using the Gauss-Markov mobility model. The Random Waypoint mobility model is used as a benchmark in the simulation studies. Two kinds of routes are determined: routes with the longest lifetime (stable paths) and...

The aim of this paper is to use Bayesian statistics to update a probability density function (p.d.f.) related to the tension parameter of the vocal folds, which is one of the main parameters responsible for the changing of the fundamental frequency of a voice signal, generated by a mechanical/mathematical model for producing voiced sounds. Three parameters are considered uncertain in the model ...

Simple stochastic games are two-player zero-sum stochastic games with turnbased moves, perfect information, and reachability winning conditions. We present two new algorithms computing the values of simple stochastic games. Both of them rely on the existence of optimal permutation strategies, a class of positional strategies derived from permutations of the random vertices. The “permutation-enu...

We propose a two-state Markov chain model of degraded document images. The model generates random and burst noise to simulate isolated pixel reversal as well as blurring of a larger document region. In the Random state, the probability of pixel inversion is low compared to that in the Burst state. However, the model remains in the Random state for a much longer period of time. Validation of the...

We have criticized in previous work [1]-[4] the various proofs of Bell-type inequalities as given in [5], [6]. Other authors have put forward related criticism of which we quote only some of the latest publications [7]-[9]. A very interesting discussion has developed during the last year [10]-[14]. In the present paper we concatenate our arguments into what we call “row” and “column” arguments....

In this paper, we consider parameter identification from measurement fields in an uncertain environment. An approach based on the theory of belief functions is developed to take into account all possible sources of information. Information from measurements is described through likelihood-based belief functions, while consonant random sets are used to handle prior information on the model param...