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- Q6714997 subject Q7153685.
- Q6714997 abstract "Multilevel Coordinate Search (MCS) is an algorithm for bound constrained global optimization using function values only.To do so, the n-dimensional search space is represented by a set of non-intersecting hypercubes (boxes). The boxes are then iteratively split along an axis plane according to the value of the function at a representative point of the box and the box's size. These two splitting criteria combine to form a global search by splitting large boxes and a local search by splitting areas for which the function value is good.Additionally a local search combining a quadratic interpolant of the function and line searches can be used to augment performance of the algorithm.".
- Q6714997 wikiPageExternalLink dix_sze_eng.html.
- Q6714997 wikiPageExternalLink mcs.
- Q6714997 wikiPageWikiLink Q11348.
- Q6714997 wikiPageWikiLink Q2254999.
- Q6714997 wikiPageWikiLink Q3278015.
- Q6714997 wikiPageWikiLink Q5570875.
- Q6714997 wikiPageWikiLink Q7153685.
- Q6714997 wikiPageWikiLink Q8366.
- Q6714997 comment "Multilevel Coordinate Search (MCS) is an algorithm for bound constrained global optimization using function values only.To do so, the n-dimensional search space is represented by a set of non-intersecting hypercubes (boxes). The boxes are then iteratively split along an axis plane according to the value of the function at a representative point of the box and the box's size.".
- Q6714997 label "MCS algorithm".