The Impact of Emerging Technologies on Computer Science and Operations Research (Hardcover, 1995)

Preface. 1. An Upper Bound Suitable for Parallel Vector Processing for the Objective Function in a Class of Stochastic Optimization Problems; K.A. Ariyawansa. 2. On Embedded Languages, Meta-Level Reasoning, and Computer-Aided Modeling; H.K. Bhargava, S.O. Kimbrough. 3. Mapping Tasks to Processors to Minimize Communication Time in a Multiprocessor System; J. Chakrapani, J. Skorin-Kapov. 4. Refinements to the So-called Simple Approximations for the Bulk-Arrival Queues: MX/G/1; M.L. Chaudhry. 5. A Nearly Asynchronous Parallel LP-Based Algorithm for the Convex Hull Problem in Multidimensional Space; J.H. Dula, R.V. Helgason, N. Venugopal. 6. A Dynamically Generated Rapid Response Capacity Planning Model for Semiconductor Fabrication Facilities; K. Fordyce, G. Sullivan. 7. Queueing Analysis in TK Solver (QTK); D. Gross, C.M. Harris. 8. On-Line Algorithms for a Single Machine Scheduling Problem; Weizhen Mao, R.K. Kincaid, A. Rifkin. 9. Modeling Experience Using Multivariate Statistics; J.H. May, L.G. Vargas. 10. Optimal Spare Parts Allocation and Industrial Applications; W. Mergenthaler, S. Felgenhauer, P. Hardie, M. Groh, J. Lugger. 11. A C++ Class Library for Mathematical Programming; S.S. Nielsen. 12. Integrating Operations Research and Neural Networks for Vehicle Routing; J.-Y. Potvin, C. Robillard. 13. Using Artificial Intelligence to Enhance Model Analysis; R. Sharda, D.M. Steiger. 14. Solving Quadratic Assignment Problems Using the Reverse Elimination Method; S. Voß. 15. Neural Networks for HeuristicSelection: an Application in Resource-Constrained Project Scheduling; Dan Zhu, R. Padman.