000			01863nam a2200181 454500
999			_c22533 _d22533
008			160319b2005. xxu||||| |||| 00| 0 eng d
020			_a9780387298245
082			_a519.6 SNY
100			_aSnyman, Jan A.,
245			_aPractical mathematical optimization : an introduction to basic optimization theory and classical and new gradient-based algorithms
260			_aNew York: _bSpringer, _c2005.
300			_axx, 257 p.: _b ill. ; _c25 cm. .
490			_aApplied optimization; _v v. 97.
500			_aThis book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimization theory and algorithms to his own particular practical field of interest, be it engineering, physics, chemistry, or business economics. Most importantly, for the first time in a relatively brief and introductory work, due attention is paid to the difficulties - such as noise, discontinuities, expense of function evaluations, and the existence of multiple minima - that often unnecessarily inhibit the use of gradient-based methods. In a separate chapter on new gradient-based methods developed by the author and his coworkers, it is shown how these difficulties may be overcome without losing the desirable features of classical gradient-based methods." "It is intended that this book be used in senior- to graduate-level semester courses in optimization, as offered in mathematics, engineering, computer science, and operations research departments, and also to be useful to practising professionals in the workplace--BOOK JACKET.
856			_uhttp://catdir.loc.gov/catdir/enhancements/fy0821/2005934835-t.html
856			_uhttp://catdir.loc.gov/catdir/enhancements/fy0663/2005934835-d.html
942			_2ddc _cTD