Titlebook: Applications of Interval Computations; R. Baker Kearfott,Vladik Kreinovich Book 1996 Springer Science+Business Media Dordrecht 1996 algori

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https://doi.org/10.1007/978-1-4613-3440-8algorithms; applied mathematics; fuzzy; fuzzy set; fuzzy sets; global optimization; mathematics; mechanics;

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Encyclopedic Dictionary of Archaeology ways of rigorously verifying feasibility for equality constraints and a careful consideration of the role of active inequality constraints. Previously developed algorithms and general work on the subject are also listed. Limitations of present knowledge are mentioned, and advice is given on which t

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https://doi.org/10.1007/978-3-030-58292-0x . varying between a lower bound . and an upper bound ., and with . similarly varying between . and .. The idea of this deduction can also be used to construct a set of inequalities which describe the so-called symmetric solution set .., i.e., the solution set of . = . with . = .. varying between t

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Reference work 2021Latest editionnto account fluctuations in the factors; these fluctuations are characterized in terms of tolerance intervals..The case of an a . known model (i.e., known dependency of the performance characteristics on the factors) is considered first. The optimal factor design is chosen by worst-case optimization

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https://doi.org/10.1007/978-1-4615-9674-5precise data, and numerical constraints. A series of ever more versatile computational models for spreadsheets are presented beginning with classical interval arithmetic and ending with interval constraint satisfaction. In order to demonstrate the ideas, an actual implementation of each model as a c

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