Halihazrda para ve banka eki gibi gvenlik nlemli katlar; floresan mrekkep kullanlarak, pahal ve mevcut basknn zerine ekstra bir ka ilem yapmay gerektiren, zahmetli bir operasyonla baslabiliyor. Xeroxun florenas yaz buluu, zel bir mrekkep veya toner kullanmadan, ekstra ilemler yapmadan, nemli belge ve dokmanlarn gzle grlemeyen gvenlik kodlamalaryla birlikte baslmasn salyor. Buluu ile ilgili aklamalarda bulunan Reiner Eschbach, Gelitirdiimiz teknolojide insanlar aknla uratan en nemli eyin floresan mrekkep kullanmadan, dijital bir yazcnn floresan yaz basmasn gerekletirmek oldu. Bunun anlam drt renkli dijital yazclarla, dokmanlarn kiiye ve kuruma zel floresan tanmlamalarla e zamanl baslabilecek olmasdr dedi. Xeroxun bu buluu, zellikle irket rapor ve belgelerinin, finans kurulular, kamu kurumlar, okullar ve niversiteler tarafndan verilen deerli kat ve belgelerin sahtelerinin baslmasn daha da zorlatrmas asndan nem tayor. Xeroxun gelitirmi olduu floresan bask teknolojisi, ncelikle kurumsal kullanma ynelik yksek kapasiteli renkli dijital bask sistemleri zerinde alacak. BERNARD EWIGMAN, M. D. , M. P. H. , is professor at matlab programming University of Chicago, Pritzker School of Medicine, Chicago, and editor for matlab programming Family Practice Inquiries Network. If youve got many tasks, you are going to pick matlab programming project with matlab programming lesser chance price. Constraint programming complications have all matlab programming advantages and downsides for example, non convexity of mixed integer programming troubles, and matlab programming additional necessities like alldifferent commonly make such complications much more challenging to fix. This sort of approach is not as more likely to culminate into matlab programming whole failure of matlab programming merchandising plan. It provides search leads to matlab programming context of Indians. The outcomes of sensitivity evaluation can be applied to at once help determine matlab programming design, as well as improve matlab programming operation of numerical optimization tasks like fitting models to test data and tuning models to meet design necessities. The limited optimization methods need a couple of calculations to be capable of select even if matlab task must be rejected.