000			01740nam a2200301Ia 4500
003			OSt
005			20250801095540.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9783319081137
037			_cTextbook
040			_aCSL _beng _cCSL
041			_aeng
084			_aB2893 Q4 TOR _qCSL
100			_aBojirov, Adil _eauthor _9817052
245		0	_aIntroduction to nonsmooth optimization _b: Theory, practice and software
260			_aSwitzerland : _bSpringer, _c2014.
300			_axviii, 372p. _b: ill.
500			_aReferences 357-368p.; Index 369-372p.
520			_aThis book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of different problems arising in the field. It is organized into three parts: 1. convex and nonconvex analysis and the theory of NSO; 2. test problems and practical applications; 3. a guide to NSO software.
650			_a Constraint handing _9817053
650			_a Nonconvex analysis _9817054
650			_a Optimality conditions _9817055
650			_aBundle methods _9817056
700			_aKarmitsa, Napsu _eco-author _9470721
700			_aMakela, Marko M _eco-author _9817057
942			_hB2893 Q4 TOR _cTB _2CC _n0
999			_c16234 _d16234