000			02246nam a22004215a 4500
001			115-100601
003			CH-001817-3
005			20170613140754.0
006			a fot ||| 0|
007			cr nn mmmmamaa
008			100601e20100601sz fot ||| 0|eng d
020			_a9783037195857
024	7	0	_a10.4171/085 _2doi
040			_ach0018173
072		7	_aPBS _2bicssc
084			_a46-xx _a41-xx _a42-xx _a68-xx _2msc
100	1		_aTriebel, Hans, _eauthor.
245	1	0	_aBases in Function Spaces, Sampling, Discrepancy, Numerical integration _h[electronic resource] / _cHans Triebel
260	3		_aZuerich, Switzerland : _bEuropean Mathematical Society Publishing House, _c2010
264		1	_aZuerich, Switzerland : _bEuropean Mathematical Society Publishing House, _c2010
300			_a1 online resource (305 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aEMS Tracts in Mathematics (ETM) _v11
506	1		_aRestricted to subscribers: _uhttp://www.ems-ph.org/ebooks.php
520			_aThe first chapters of this book deal with Haar bases, Faber bases and some spline bases for function spaces in Euclidean n-space and n-cubes. This is used in the subsequent chapters to study sampling and numerical integration preferably in spaces with dominating mixed smoothness. The subject of the last chapter is the symbiotic relationship between numerical integration and discrepancy, measuring the deviation of sets of points from uniformity. This book is addressed to graduate students and mathematicians having a working knowledge of basic elements of function spaces and approximation theory, and who are interested in the subtle interplay between function spaces, complexity theory and number theory (discrepancy).
650	0	7	_aNumerical analysis _2bicssc
650	0	7	_aFunctional analysis _2msc
650	0	7	_aApproximations and expansions _2msc
650	0	7	_aFourier analysis _2msc
650	0	7	_aComputer science _2msc
700	1		_aTriebel, Hans, _eauthor.
856	4	0	_uhttps://doi.org/10.4171/085
856	4	2	_3cover image _uhttp://www.ems-ph.org/img/books/triebel_mini2.jpg
942			_2EBK13793 _cEBK
999			_c50417 _d50417