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Nocedal, Jorge.

Numerical optimization / Jorge Nocedal, Stephen J. Wright. - 2nd edition. - New York : Springer, 2006. - xxii, 664 pages : illustrations. - Springer series in operations research .

Includes bibliographical references (p. [637]-652) and index.

Introduction --- Fundamentals of unconstrained optimization -- Line search methods -- Trust-region methods -- Conjugate gradient methods -- Quasi-Newton methods -- Large-Scale unconstrained optimization -- Calculating derivatives -- Derivative-free optimization -- Least- squares problems -- Nonlinear equations -- Theory of constrained optimiztion -- Linear programming: the simplex method -- Linear programming: interior-point methods -- Fundamentals of algorithms for nonlinear constrined optimization -- Quadratic programming -- Penalty and augmented lagrangian methods -- Sequential quadratic programming -- Interior-point methods for nonlinear programming -- Background material -- A regularization procedure.

ISBN: 9781493937110

LCCN: 2006923897

Nat. Bib. No.: GBA687041 bnb

Nat. Bib. Agency Control No.: 977011879 GyFmDB 013569685 Uk

Subjects--Topical Terms:
Mathematical optimization.

Dewey Class. No.: 519.6