The quest for ever more powerful computers has bumped up hard against the limits imposed by nature such as speed of light and electrons. However, scientists and industry agree that there is still a great potential for further speed-up by distributing computations among many processors rather than a single one. This is apparent for problems that can easily be broken down into many independent pa...

the unsteady flow in porous medium of a viscous incompressible fluid bounded by two parallel porous plates is studied with heat transfer. a uniform and constant pressure gradient is applied in the axial direction whereas a uniform suction and injection are applied in the direction normal to the plates. the two plates are kept at constant and different temperatures and the viscous dissipation is...

The Support Vector Machine (SVM) is a supervised algorithm for the solution of classification and regression problems. SVMs have gained widespread use in recent years because of successful applications like character recognition and the profound theoretical underpinnings concerning generalization performance. Yet, one of the remaining drawbacks of the SVM algorithm is its high computational dem...

And-Parallel Machines* Nachum Dershowitz and Naomi Lindenstrauss Department of Computer Science, The Hebrew University, Jerusalem 91904, Israel The deterministic Turing machine, though abstract, can still be seen as a model of a realistic computer. The same cannot be said for the nondeterministic Turing machine as a model of parallel computing. We introduce several abstract machines with fine-g...

although several papers have studied no-idle scheduling problems, they all focus on flow shops, assuming one processor at each working stage. but, companies commonly extend to hybrid flow shops by duplicating machines in parallel in stages. this paper considers the problem of scheduling no-idle hybrid flow shops. a mixed integer linear programming model is first developed to mathematically form...