000			01476 a2200253 4500
005			20190909132614.0
008			190903b xxu||||| |||| 00| 0 eng d
020			_a9783030111830
040			_cIIT Kanpur
041			_aeng
082			_a519.6 _bN731
245			_aNonlinear optimization _cFrancisco J. Aragón ...[et al.]
260			_aSwitzerland _bSpringer _c2019
300			_axiv, 350p
440			_aSpringer undergraduate texts in mathematics and technology / edited by H. Holden
520			_aThis textbook on nonlinear optimization focuses on model building, real world problems, and applications of optimization models to natural and social sciences. Organized into two parts, this book may be used as a primary text for courses on convex optimization and non-convex optimization. Definitions, proofs, and numerical methods are well illustrated and all chapters contain compelling exercises. The exercises emphasize fundamental theoretical results on optimality and duality theorems, numerical methods with or without constraints, and derivative-free optimization. Selected solutions are given. Applications to theoretical results and numerical methods are highlighted to help students comprehend methods and techniques.
650			_aMathematical optimization
650			_aNonlinear theories
700			_aAragón, Francisco J.
700			_aGoberna, Miguel A.
700			_aLópez, Marco A.
700			_aRodríguez, Margarita M. L.
942			_cBK
999			_c560714 _d560714