000			03830nam a22005655i 4500
001			978-1-4419-9569-8
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005			20140220083729.0
007			cr nn 008mamaa
008			110526s2011 xxu| s |||| 0|eng d
020			_a9781441995698 _9978-1-4419-9569-8
024	7		_a10.1007/978-1-4419-9569-8 _2doi
050		4	_aQA71-90
072		7	_aPBKS _2bicssc
072		7	_aMAT006000 _2bisacsh
082	0	4	_a518 _223
082	0	4	_a518 _223
100	1		_aBauschke, Heinz H. _eeditor.
245	1	0	_aFixed-Point Algorithms for Inverse Problems in Science and Engineering _h[electronic resource] / _cedited by Heinz H. Bauschke, Regina S. Burachik, Patrick L. Combettes, Veit Elser, D. Russell Luke, Henry Wolkowicz.
264		1	_aNew York, NY : _bSpringer New York, _c2011.
300			_aXII, 404 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Optimization and Its Applications, _x1931-6828 ; _v49
520			_a  Fixed-Point Algorithms for Inverse Problems in Science and Engineering presents some of the most recent work from leading researchers in variational and numerical analysis.  The contributions in this collection provide state-of-the-art theory and practice in first-order fixed-point algorithms, identify emerging problems driven by applications, and discuss new approaches for solving these problems.   This book is a compendium of topics explored at the Banff International Research Station “Interdisciplinary Workshop on Fixed-Point Algorithms for Inverse Problems in Science and Engineering”  in November of 2009.  The workshop included a broad range of research including variational analysis, numerical linear algebra, biotechnology, materials science, computational solid-state physics, and chemistry.   Key topics and features of this book include: ·         Theory of Fixed-point algorithms: variational analysis, convex analysis, convex and nonconvex  optimization, subdifferential calculus, nonsmooth analysis, proximal point methods, projection methods, resolvent and related fixed-point theoretic methods, and monotone operator theory ·         Numerical analysis of fixed-point algorithms: choice of step lengths, of weights, of blocks for block-iterative and parallel methods, and of relaxation parameters; regularization of ill-posed problems; numerical comparison of various methods ·         Applications:  Image and signal processing, antenna optimization, location problems   The wide scope of applications presented in this volume easily serve as a basis for new and innovative research and collaboration.
650		0	_aMathematics.
650		0	_aComputer software.
650		0	_aComputer science _xMathematics.
650		0	_aMathematical optimization.
650	1	4	_aMathematics.
650	2	4	_aComputational Mathematics and Numerical Analysis.
650	2	4	_aCalculus of Variations and Optimal Control; Optimization.
650	2	4	_aMathematical Modeling and Industrial Mathematics.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aTheoretical, Mathematical and Computational Physics.
700	1		_aBurachik, Regina S. _eeditor.
700	1		_aCombettes, Patrick L. _eeditor.
700	1		_aElser, Veit. _eeditor.
700	1		_aLuke, D. Russell. _eeditor.
700	1		_aWolkowicz, Henry. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441995681
830		0	_aSpringer Optimization and Its Applications, _x1931-6828 ; _v49
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4419-9569-8
912			_aZDB-2-SMA
999			_c106076 _d106076