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Adaptive Discrete Galerkin-methods for Macromolecular Processes
註釋Abstract: "In this paper, a rather recent algorithmic approach to the numerical simulation of macromolecular processes is surveyed. It avoids the numerical stiff integration of thousands up to millions of ODE's by constructing a scale of discrete Hilbert spaces, especially weighted sequence spaces, and establishing a corresponding Galerkin method. Examples including polyreactions of industrial relevance and ecological waste management by biochemical recycling illustrate the importance and efficiency of the algorithm."