By Josef Kallrath (auth.), Josef Kallrath (eds.)
ISBN-10: 3642235921
ISBN-13: 9783642235924
This ebook Algebraic Modeling platforms – Modeling and fixing genuine international Optimization difficulties – offers with the facets of modeling and fixing real-world optimization difficulties in a distinct mix. It treats systematically the foremost algebraic modeling languages (AMLs) and modeling structures (AMLs) used to resolve mathematical optimization difficulties. AMLs helped considerably to extend using mathematical optimization in undefined. as a result it truly is logical final result that the GOR (Gesellschaft für Operations study) operating crew Mathematical Optimization in genuine existence had a moment assembly dedicated to AMLs, which, after 7 years, the unique 71st assembly of the GOR (Gesellschaft für Operations study) operating team Mathematical Optimization in genuine lifestyles which used to be held less than the name Modeling Languages in Mathematical Optimization in the course of April 23–25, 2003 within the German Physics Society convention construction in undesirable Honnef, Germany. whereas the 1st assembly led to the booklet Modeling Languages in Mathematical Optimization, this publication is an offspring of the 86th assembly of the GOR operating workforce which was once back held in undesirable Honnef below the name Modeling Languages in Mathematical Optimization.
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Additional resources for Algebraic Modeling Systems: Modeling and Solving Real World Optimization Problems
Sample text
Schodl et al. inside a framework and can then be communicated to numerical solvers or other systems. While the input format is a controlled natural language like Naproche [6] and MathNat [9], but with a different target, it is designed to be as expressive and natural as currently feasible. This paper summarizes the work done in our group, with emphasis on the content of the PhD thesis of the first author. The user benefits from this input format in multiple ways: The most obvious advantage is that a user is not forced to learn an algebraic modeling language and can use the usual natural mathematical language, which is learned and practiced by every mathematician, computer scientist, physicist, and engineer.
Mathematicians sometimes do not even see modeling as a part of mathematics. Learning and teaching modeling is supported by a few very recommended books: Williams [11], Kallrath and Wilson [9], Bisschop [1], Kallrath [6], Castillo et al. [2] and Heipcke et al. [4]. I enthusiastically recommend to use AMLs in university courses as it helps to focus on mapping the real world problem to a mathematical model and not wasting too much time on implementation in procedural languages 10 J. Kallrath or the details of tableau simplex iterations (modern solvers work anyway different from textbook descriptions of the Simplex algorithm).
28. 29. 30. 31. 32. 33. 34. 35. 36. P. Schodl et al. Development pp. 476–479 (2010). ac. : A semantic virtual machine. Draft version (2011). mat. : Grammatical framework. : Foundations for a self-reflective, context-aware semantic representation of mathematical specifications. : An experimental grammar for German mathematical text. Manuscript (2009). : A typesheet for optimization problems in the semantic memory. Web document (2011). : A typesheet for types in the semantic memory. Web document (2011).
Algebraic Modeling Systems: Modeling and Solving Real World Optimization Problems by Josef Kallrath (auth.), Josef Kallrath (eds.)
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