Nocedal, Jorge. <br/><br/>
Numerical optimization / 
Jorge Nocedal, Stephen J. Wright. 
 - 2nd edition. 
 - New York :  Springer,  2006. 
 - xxii, 664 pages :  illustrations. 
 - Springer series in operations research .
<br/><br/>Includes bibliographical references (p. [637]-652) and index. 
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9781493937110 
<br/><br/><label>LCCN: </label>2006923897 
<br/><br/><label>Nat. Bib. No.: </label>GBA687041  bnb 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>977011879  GyFmDB 013569685  Uk 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical optimization.
<br/><br/><label>Dewey Class. No.: </label>519.6