caa a22 4500 465774180 CHVBK 20180323111937.0 cr unu---uuuuu 170327e19901201xx s 000 0 eng 10.1007/BF02023059 doi (NATIONALLICENCE)springer-10.1007/BF02023059 Kaufman Linda AT&T Bell Laboratories, 600 Mountain Avenue, 07974, Murray Hill, New Jersey, USA aut Solving emission tomography problems on vector machines [Elektronische Daten] [Linda Kaufman] Shepp and Vardi's maximum likelihood reconstruction algorithm for emission tomography has mostly been ignored by the medical community because of its perceived high computational costs. However, the algorithm is very suited to parallel and vector machines, and on these machine can be made economically feasible even on medically reasonable problems of 16000 variables. It is also a good test problem for parallel optimization algorithms for large simply bounded nonlinear problems. J.C. Baltzer AG, Scientific Publishing Company, 1990 Annals of Operations Research Baltzer Science Publishers, Baarn/Kluwer Academic Publishers 22/1(1990-12-01), 325-353 0254-5330 22:1<325 1990 22 10479 https://doi.org/10.1007/BF02023059 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02023059 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Kaufman Linda AT&T Bell Laboratories, 600 Mountain Avenue, 07974, Murray Hill, New Jersey, USA aut NATIONALLICENCE 773 0- Annals of Operations Research Baltzer Science Publishers, Baarn/Kluwer Academic Publishers 22/1(1990-12-01), 325-353 0254-5330 22:1<325 1990 22 10479 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer