caa a22 4500 46582143X CHVBK 20180323112136.0 cr unu---uuuuu 170327e19900601xx s 000 0 eng 10.1007/BF02017350 doi (NATIONALLICENCE)springer-10.1007/BF02017350 Gurwitz Chaya Department of Computer and Information Science, Brooklyn College, CUNY, 11210, Brooklyn, NY, USA aut Weighted median algorithms for L1 approximation [Elektronische Daten] [Chaya Gurwitz] The weighted median problem arises as a subproblem in certain multivariate optimization problems, includingL 1 approximation. Three algorithms for the weighted median problem are presented and the relationships between them are discussed. We report on computational experience with these algorithms and on their use in the context of multivariateL 1 approximation. BIT Foundations, 1990 L 1 approximation nationallicence median nationallicence BIT Kluwer Academic Publishers 30/2(1990-06-01), 301-310 0006-3835 30:2<301 1990 30 10543 https://doi.org/10.1007/BF02017350 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02017350 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Gurwitz Chaya Department of Computer and Information Science, Brooklyn College, CUNY, 11210, Brooklyn, NY, USA aut NATIONALLICENCE 773 0- BIT Kluwer Academic Publishers 30/2(1990-06-01), 301-310 0006-3835 30:2<301 1990 30 10543 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer