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The 6th International Conference on Large-Scale Scienti?c Computations (LSSC 2007) was held in Sozopol, Bulgaria, June 5 9, 2007. The conference was organized by the Institute for Parallel Processing at the Bulgarian Academy of Sciences in cooperation with SIAM (Society for Industrial and Applied Ma- ematics). Partial support was also provided from project BIS-21++ funded by the European Commission in FP6 INCO via grant 016639/2005. The conference was devoted to the 60th anniversary of Richard E. Ewing. ProfessorEwingwasawardedthemedaloftheBulgarianAcademyofSciencesfor hiscontributionstotheBulgarianmathematicalcommunityandtotheAcademy ofSciences.Hiscareerspanned33years,primarilyinacademia,butalsoincluded industry. Since 1992 he worked at Texas A&M University being Dean of Science and Vice President of Research, as well as director of the Institute for Scienti?c Computation (ISC), which he founded in 1992. Professor Ewing is internati- ally well known with his contributions in applied mathematics, mathematical modeling, and large-scale scienti?c computations. He inspired a generation of researchers with creative enthusiasm for doing science on scienti?c compu- tions. The preparatorywork on this volume was almost done when the sad news came to us: Richard E. Ewing passed away on December 5, 2007 of an apparent heart attack while driving home from the o?ce.
List of contents
Plenary and Invited Papers.- Robust Multilevel and Hierarchical Preconditioning Methods.- Monte Carlo: Tools, Applications, Distributed Computing.- Operator Splittings, Their Application and Realization.- Recent Advances in Methods and Applications for Large Scale Computations and Optimization of Coupled Engineering Problems.- Control Systems.- Environmental Modelling.- Computational Grid and Large-Scale Problems.- Application of Metaheuristics to Large-Scale Problems.- Contributed Talks.
Summary
Coverage in this proceedings volume includes robust multilevel and hierarchical preconditioning methods, applications for large scale computations and optimization of coupled engineering problems, and applications of metaheuristics to large-scale problems.
