| Exclusively based on math & logic standards and adopting reduced set of conventional notations, NCLĄ¯s cleanness and simplicity make it easily accessible to beginners. Concerning its problem solving capability, it is distinguished from existing products by its unique innovation:
Semantic Parser adopts pattern recognition technique in natural modeling and model diagnosing Mixed Set Programming (over reals, integers, booleans,references and sets) models and solves complex problems at business logic level, contrary to Mixed Integer Programming that necessites linear transformation in solving a non-linear problem Resolution rules support flexible control of search: restart of the search tree; selection of search branch by logical conditions; soft-constraint; construction of approximate solutions; heuristic rules, etc.
FEATURES Intelligent descriptive syntax with conventional notations Dynamic quantification permitting powerful fuzzy reasoning Powerful set reasoning capability Embedded state-of-the-art OR algorithms Flexible low-level and/or partial information accessibility Embedded SQL ...
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Introduction to the NCL Language
NCL's prototype was submitted in Dec. 1997 to Third International Conference on Systems Science & Systems Engineering. J. Zhou. A unified framework for solving Boolean, integer & set constraints. Proc. of ICSSSE: 205-210, Beijing, Aug 1998.
The language was submitted in Mar. 1998 to The Journal of Logic Programming (official journal of the Logic Prog. Association). Jianyang Zhou. Introduction to the constraint language NCL. JLP 45(1-3): 71-103(2000).
Milestone achievements on the NCL language After more than 8 years of industrialization, fruitful achievements on the NCL language have been made. Preliminary scientific information about the NCL language can be found in the following publications.
J. Zhou. "The NCL Natural Constraint Language" (in Chinese), Science Press, 236 pp, 2009.
J. Zhou. A Note on Mixed Set Programming. Proc. of The 7th International Symposium on Operations Research and Its Applications, pp. 131-140, 2008. See also the talk given at the symposium (.pdf 172K)
J. Zhou. Routing By Mixed Set Programming. Proc. of The 8th International Symposium on Operations Research and Its Applications, pp. 157-166, 2009.
POEM Basic Course (with examples and exercises)
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