000			02922cam a2200349 i 4500
001			17667791
005			20170606150253.0
008			130321s2013 flu b 001 0 eng
010			_a 2012050717
020			_a9781439866153
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aQA241 _b.D37 2013
082	0	0	_a512.7028 _223 _bDAS-C
084			_aCOM083000 _aMAT003000 _aMAT022000 _2bisacsh
100	1		_aDas, Abhijit
245	1	0	_aComputational number theory _cAbhijit Das.
260			_aLondon.: _bTaylor and Francis, _c©2013.
300			_axviii, 596 p. : _bill. ; _c24 cm.
490	0		_aDiscrete mathematics and its applications
504			_aIncludes bibliographical references and index.
520			_a"Preface This book is a result of my teaching a Masters-level course with the same name for five years in the Indian Institute of Technology Kharagpur. The course was attended mostly by MTech and final-year BTech students from the department of Computer Science and Engineering. Students from the department of Mathematics and other engineering departments (mostly Electronics and Electrical Engineering, and Information Technology) also attended the course. Some research students enrolled in the MS and PhD programs constituted the third section of the student population. Historically, therefore, the material presented in this book is tuned to cater to the need and taste of engineering students in advanced undergraduate and beginning graduate levels. However, several topics that could not be covered in a one-semester course have also been included in order to make this book a comprehensive and complete treatment of number-theoretic algorithms. A justification is perhaps due to the effect why another textbook on computational number theory was necessary. Some (perhaps not many) textbooks on this subject are already available to international students. These books vary widely with respect to their coverage and technical sophistication. I believe that a textbook specifically targeted towards the engineering population is somewhat missing. This book should be accessible (but is not restricted) to students who have not attended any course on number theory. My teaching experience shows that heavy use of algebra (particularly, advanced topics like commutative algebra or algebraic number theory) often demotivates students"--
650		0	_aNumber theory _xData processing.
650		0	_aData encryption (Computer science)
650		7	_aCOMPUTERS / Security / Cryptography. _2bisacsh
650		7	_aMATHEMATICS / Applied. _2bisacsh
650		7	_aMATHEMATICS / Number Theory. _2bisacsh
856	4	2	_3Cover image _uhttp://images.tandf.co.uk/common/jackets/websmall/978143986/9781439866153.jpg
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c9812 _d9812