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Type
ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionNumerical Porous Media SRI Center (NumPor)
Visual Computing Center (VCC)
Date
2015-12-31Online Publication Date
2015-12-31Print Publication Date
2016-02Permanent link to this record
http://hdl.handle.net/10754/592755
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Show full item recordAbstract
We show that a weighted least squares approximation of Bézier coefficients with factored Hahn weights provides the best constrained polynomial degree reduction with respect to the Jacobi L2L2-norm. This result affords generalizations to many previous findings in the field of polynomial degree reduction. A solution method to the constrained multi-degree reduction with respect to the Jacobi L2L2-norm is presented.Citation
Constrained multi-degree reduction with respect to Jacobi norms 2015 Computer Aided Geometric DesignPublisher
Elsevier BVJournal
Computer Aided Geometric DesignAdditional Links
http://linkinghub.elsevier.com/retrieve/pii/S0167839615001429ae974a485f413a2113503eed53cd6c53
10.1016/j.cagd.2015.12.003