Parallel real-time computation of nonlinear feedback functions

Parallel Processing Letters

Volumn 13, Issue 1, 2003, Pages 65-75

  Akl, Selim G ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

Maximization; Nonlinear feedback function; Parallelism; Real time computation

Indexed keywords

MICROPROCESSOR CHIPS; NONLINEAR SYSTEMS; OPTIMIZATION; PARALLEL ALGORITHMS; PROBLEM SOLVING; REAL TIME SYSTEMS;

NONLINEAR FEEDBACK FUNCTIONS;

PARALLEL PROCESSING SYSTEMS;

EID: 0037364584     PISSN: 02196264     EISSN: None     Source Type: Journal    
DOI: 10.1142/S012962640300115X     Document Type: Article

References (28)

1. S.G. Akl & S.D. Bruda, Parallel real-time optimisation: Beyond speedup, Parallel Processing Letters, 9(4), 1999, 499-509.
2. S.G. Akl & S.D. Bruda, Parallel real-time numerical computation, International Journal of Computers and their Applications, 7(1), 2000, 31-38.
3. S.G. Akl & S.D. Bruda, Improving a solution's quality through parallel processing, Journal of Super computing, 19(2), 2001, 219-231.
4. S.G. Akl, Parallel Computation: Models and Methods (Upper Saddle River, NJ: Prentice-Hall, 1997).
5. S.G. Akl, Secure file transfer: A computational analogue to the furniture moving paradigm, Proc. 11th IASTED Conf. on Parallel and Distributed Computing and Systems, Cambridge, MA, 1999, 227-233.
6. S.G. Akl, The design of efficient parallel algorithms, in J. Blazewicz, K. Ecker, B. Plateau, & D. Trystram (Eds.), Handbook on Parallel and Distributed Processing (Berlin: Springer Verlag, 2000) 13-91.
7. S.G. Akl & L. Fava Lindon, Paradigms admitting superunitary behaviour in parallel computation, Parallel Algorithms and Applications, 11, 1997, 129-153.
8. S.D. Bruda & S.G. Akl, On the data-accumulating paradigm, Proc. 4th Int. Conf. on Computer Science and Informatics, Research Triangle Park, NC, 1998, 150-153.
9. S.D. Bruda & S.G. Akl, The characterisation of data-accumulating algorithms, Theory of Computing Systems, 33(1), 2000, 85-96.
10. S.D. Bruda & S.G. Akl, A case study in real-time parallel computation: Correcting algorithms, Journal of Parallel and Distributed Computing, 61(5), 2001, 688-708.
11. S.D. Bruda & S.G. Akl, Real-time computation: A formal definition and its applications, International Journal of Computers and Applications, to appear.
12. S.D. Bruda & S.G. Akl, On the necessity of formal models for real-time parallel computations, Parallel Processing Letters, 11,(2 & 3), 2001, 353-361.
13. F. Luccio & L. Pagli, The p-shovelers problem (computing with time-varying data), Proc. 4th Symp. on Parallel and Distributed Computing, Arlington, TX, 1992, 188-193.
14. F. Luccio & L. Pagli, Computing with time-varying data: Sequential complexity and parallel speed-up, Theory of Computing Systems, 31(1), 1998, 5-26.
15. F. Luccio, L. Pagli, & G. Pucci, Three non conventional paradigms of parallel computation, Lecture Notes in Computer Science, 678, 1992, 166-175.
16. S. Irani & A.R. Karlin, Online computation, in D.S. Hochbaum (Ed.), Approximation Algorithms for NP-Hard Problems (Boston, MA: International Thomson Publishing, 1997) 521-564.
17. P. Chaudhuri, Parallel incremental algorithms for analysing activity networks, Parallel Algorithms and Applications, 13(2), 1998, 153-165.
18. L. Boxer & R. Miller, Parallel dynamic computational geometry, Journal of New generation Computer Systems, 2(3), 1989, 227-246.
19. Y.H. Tsin, On handling vertex deletion in updating minimum spanning trees, Information Processing Letters, 27, 1988, 167-168.
20. A. Bestavros & V. Fay-Wolfe (Eds.), Real-Time Database and Information Systems (Boston, MA: Kluwer Academic Publishers, 1997).
21. H.W. Lawson, Parallel Processing in Industrial Real-Time Applications (Englewood Cliffe, NJ: Prentice Hall, 1992).
22. M. Thorin, Real-Time Transaction Processing (London: Macmillan, 1992).
23. C.H. Papadimitriou & K. Steiglitz, Combinatorial Optimisation: Algorithms and Complexity (Englewood Cliffs, NJ: Prentice Hall, 1982).
24. J. Casti, Complexification: Explaining a Paradoxical World through the Science of Surprise (New York: HarperCollins, 1994).
25. J. Cohen & I. Stewart, The Collapse of Chaos: Discovering Simplicity in a Complex World (New York: Viking, 1994).
26. P. Coveny & R. Highfield, Frontiers of Complexity: The Search for Order in a Chaotic World (New York: Fawcett Columbine, 1995).
27. J. Horgan, The End of Science (New York: Broadway Books, 1996).
28. R. Greenlaw, H.J. Hoover, & W.L. Ruzzo, Limits to Parallel Computation (New York: Oxford University Press, 1995).