000			02288cam a2200385 i 4500
001			20146038
003			OSt
005			20210609121253.0
008			171117s2018 njua b 001 0 eng
010			_a 2017042753
020			_a9789813228252 (hardcover : alk. paper)
040			_aDLC _beng _cAAMUSTED _erda _dDLC
041	1		_aeng _hjpn
042			_apcc
050	0	0	_aQA273 _b.Su3 2018
082	0	0	_a519.2 _223
100	1		_aSugita, Hiroshi, _d1958- _eauthor.
240	1	0	_aKakuritsu to ransū. _lEnglish
245	1	0	_aProbability and random number : _ba first guide to randomness / _cHiroshi Sugita, Osaka University, Japan.
264		1	_aNew Jersey : _bWorld Scientific, _c[2018]
300			_axi, 125 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aMathematics of coin tossing -- Random number -- Limit theorem -- Monte Carlo method.
520			_aThis is a book of elementary probability theory that includes a chapter on algorithmic randomness. It rigorously presents definitions and theorems in computation theory, and explains the meanings of the theorems by comparing them with mechanisms of the computer, which is very effective in the current computer age. Random number topics have not been treated by any books on probability theory, only some books on computation theory. However, the notion of random number is necessary for understanding the essential relation between probability and randomness. The field of probability has changed very much, thus this book will make and leave a big impact even to expert probabilists. Readers from applied sciences will benefit from this book because it presents a very proper foundation of the Monte Carlo method with practical solutions, keeping the technical level no higher than 1st year university calculus. -- _cProvided by publisher.
650		0	_aProbabilities.
650		0	_aRandom variables.
650		0	_aNumbers, Random.
650		0	_aMonte Carlo method.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c239 _d239