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These different linguistic backgrounds are reflected in differing frequencies of surnames, as shown in the table below. On 31 December 1997 there were 316 295 different surnames in Belgium (total population: 11,521,238). Note — the following table contains the ten most common surnames in each of the three federal regions as of 1 January 2021 ...
Rock aka Blade Runner Rock, later The Ultimate Warrior (1959-2014), American professional wrestler Knute Rockne (1888-1931), Norwegian-American football player and coach Tim Raines (born 1959), American Major League Baseball player
The RAND table was an important breakthrough in delivering random numbers because such a large and carefully prepared table had never before been available (the largest previously published table was ten times smaller in size), and because it was also available on IBM punched cards, which allowed for its use in computers.
This list is also to include surnames that did not originate in Ukraine as there are people living in the country with numerous ethnic backgrounds, and, therefore, surnames, from all over Europe and Asia. It also serves as an indication in the English Wikipedia to potentially point out articles on family names that may need to be created.
This random sampling of Dutch family names is sorted by family name, with the tussenvoegsel following the name after a comma. Meanings are provided where known. See Category:Dutch-language surnames and Category:Surnames of Frisian origin for surnames with their own pages. Baas – The Boss; Bakker – Baker; Beek, van – From the brook
A Million Random Digits with 100,000 Normal Deviates is a random number book by the RAND Corporation, originally published in 1955. The book, consisting primarily of a random number table , was an important 20th century work in the field of statistics and random numbers .
However, in 2004, the State Post Bureau subsequently used the census data to release a series of commemorative stamps in honor of the then-most-common surnames in 2004. [10] [11] The summary of the 2007 survey revealed China had approximately 92,881,000 Wangs (7.25% of the population), 92,074,000 Lees (7.19%), and 87,502,000 Zhangs (6.83%). [5]
However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators. These include: Stream ciphers. Popular choices are Salsa20 or ChaCha (often with the number of rounds reduced to 8 for speed), ISAAC, HC-128 and RC4. Block ciphers in counter mode.