000			02162nam a22003497a 4500
003			OSt
005			20260326122027.0
008			230314s2023 paua frb 001 0 eng
010			_a 2023009070
020			_a9781611977615
040			_aDLC _beng _erda _cDLC _dDLC _dclrauoh
082			_a519.7
100	1		_aBeck, Amir, _eauthor.
245	1	0	_aIntroduction to nonlinear optimization : _btheory, algorithms and applications with Python and MATLAB / _cAmir Beck
250			_aSecond edition.
260			_aPhiladelphia : _bSociety for Industrial and Applied Mathematics, _c2023
300			_axxi, 351 pages : _billustrations (some color).
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aMOS-SIAM series on optimization
504			_aIncludes bibliographical references (pages 434-347) and index.
505			_aMathematical preliminaries -- Optimality conditions for unconstrained optimization -- Least squares -- The gradient method -- Newton's method -- Convex sets -- Convex functions -- Convex optimization -- Optimization over a convex set -- Optimality conditions for linearly constrined problems -- The KKT conditions -- Duality.
520			_a"This book is a modern introduction to the area of optimization. Its objective is to provide the foundations of theory and algorithms of nonlinear optimization, as well as to present a variety of applications from diverse areas of applied sciences"-- _cProvided by publisher.
630	0	0	_aMATLAB.
650		0	_aMathematical optimization.
650		0	_aNonlinear theories.
650		7	_aFunctional analysis _2msc _xMiscellaneous applications of functional analysis _xApplications in optimization, convex analysis, mathematical programming, economics.
650		7	_aCalculus of variations and optimal control; optimization _2msc _xOptimality conditions _xNone of the above, but in this section.
776	0	8	_iOnline version: _aBeck, Amir. _tIntroduction to nonlinear optimization _bSecond edition. _dPhiladelphia : Society for Industrial and Applied Mathematics, [2023] _z9781611977622 _w(DLC) 2023009071
942			_2ddc _cBOOK _n0
999			_c7001 _d7001