Abstract
Until recently, a modeler needed to know many details about solution algorithms, in the following referred to a ‘solvers’, especially about cumbersome input and output formats, and model building was consequently rather skill intensive and expensive. Although computer times often are quoted as a measure of the effort involved in a modeling exercise, the manpower to implement and debug a model is usually much more costly. Better algorithms has for some time not been the key to cheaper modeling, but rather systems that could manage the model building process. As a result of this demand, several so called modeling systems have emerged over the last years, see e.g. Bisschop and Meeraus [3], Fourer [8,9], and Geoffrion [10].
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© 1988 Springer-Verlag Berlin Heidelberg
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Drud, A.S. (1988). Interfaces Between Modeling Systems and Solution Algorithms. In: Mitra, G., Greenberg, H.J., Lootsma, F.A., Rijkaert, M.J., Zimmermann, H.J. (eds) Mathematical Models for Decision Support. NATO ASI Series, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83555-1_10
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