000			01892nam a2200229 a 4500
020			_a9780387227429
020			_a0387227423
020			_a9780387987934
020			_a0387987932
082			_a519.3 _bNOC
100			_aNocedal, Jorge
245			_aNumerical optimization
260			_aNew York : _bSpringer, _c©1999.
300			_axx, 636 pages : _billustrations ;
490			_aSpringer series in operations research.
500			_aIncludes Index
505			_a Fundamentals of unconstrained optimization -- Line search methods -- Trust-region methods -- Conjugate gradient methods -- Practical newton methods -- Calculating derivatives -- Quasi-newton methods -- Large-scale quasi-newton and partially separable optimization -- Nonlinear least-squares problems -- Nonlinear equations -- Theory of constrained optimization -- Linear programming: the simplex method -- Linear programming interior-point methods -- Fundamentals of algorithms for nonlinear constrained optimization -- Quadratic programming -- Penalty, barrier, and augmented largrangian methods -- Sequential quadratic programming.
520			_a"Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems."--BOOK JACKET. "Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field."--Jacket
650			_aMathematical optimization.
700			_a Stephen J.Wright
942			_cREF
999			_c39260 _d39260