000			01815nam a22002177a 4500
003			OSt
005			20220928112344.0
008			220928b |||||||| |||| 00| 0 eng d
020			_a9789386235374
040			_cICTS
050			_aT57.74
100			_a Griva, Igor; Nash, Stephen; Sofer, Ariela
245			_a Linear and nonlinear optimization
250			_a2nd ed.
260			_aHyderabad _bUniversities press _c2009
300			_axxii, 742 pp.
505			_aOptimization models; Fundamentals of optimization; Representation of linear constraints; Geometry of linear programming; The simplex method; Duality and sensitivity; Enhancements of the simplex method; Network problems; Computational complexity of linear programming; Interior-point methods of linear programming; Basics of unconstrained optimization; Methods for unconstrained optimization; Low-storage methods for unconstrained problems; Optimality conditions for constrained problems; Feasible-point methods; Penalty and barrier methods
520			_a"This book introduces the applications, theory, and algorithms of linear and nonlinear optimization, with an emphasis on the practical aspects of the material. Its unique modular structure provides flexibility to accommodate the varying needs of instructors, students, and practitioners with different levels of sophistication in these topics. The succinct style of this second edition is punctuated with numerous real-life examples and exercises, and the authors include accessible explanations of topics that are not often mentioned in textbooks, such as duality in nonlinear optimization, primal-dual methods for nonlinear optimization, filter methods, and applications such as support vector machines
650			_aAdvanced Mathematics; Linear Programming
942			_2lcc _cBK
999			_c3191 _d3191