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Computers play an important role in Scientific Computing. Many new fields of science have emerged because of the invention and development of the computer. Solving parametric linear systems, involving uncertainties in the parameters, is an important part of the solution to many scientific and engineering problems. Usually, in most engineering design problems, models in operational research, linear prediction problems, there are complicated dependencies between coefficients. The main reason for this dependency is that the errors in several different coefficients may be caused by the same…mehr

Produktbeschreibung
Computers play an important role in Scientific Computing. Many new fields of science have emerged because of the invention and development of the computer. Solving parametric linear systems, involving uncertainties in the parameters, is an important part of the solution to many scientific and engineering problems. Usually, in most engineering design problems, models in operational research, linear prediction problems, there are complicated dependencies between coefficients. The main reason for this dependency is that the errors in several different coefficients may be caused by the same factor. For this reason, the interval analysis will be the tool which we will use for solving this type of problems. Interval methods (validated methods) not only can determine such guaranteed error bounds on the true solution, but can also verify that a unique solution to the problem exists.
Autorenporträt
Mr. Ahmed Elaraby had his B.Sc and Master degree in Computer Science from South Valley University. At present, He is assistant lecturer at Faculty of Science, South Valley University, Qena, Egypt. He has high experience in areas: Scientific Computing, and Image processing. He published many papers in international refereed journals and conferences