000			02843pam a2200325 a 4500
003			CUTN
005			20171206131444.0
008			900112s1990 enka b 001 0 eng
020			_a9780750300254
020			_a0750300256 :
020			_a0750300264 (IBM disc) :
020			_a0750300272 (BBC 40/80 track disc) :
020			_a0750300280 (text and disc) :
020			_a0750300299 (network pack) :
082	0	0	_a519.3 _220 _bMCK
100	1		_aMcKeown, J. J.
245	1	3	_aAn introduction to unconstrained optimisation / _cJ.J. McKeown, D. Meegan, and D. Sprevak.
260			_aBristol, England ; _aNew York : _bA. Hilger ; _aCambridge, England : _bESM, _cc1990.
300			_ax, 122 p. : _bill. ; _c21 cm.
440		2	_aA Computer illustrated text
500			_aIntegrating computer graphics and computer-based exercises with the text, An Introduction to Unconstrained Optimisation illustrates key methods with many examples and exercises using the computer. The book takes an elementary approach to this advanced topic, allowing readers to concentrate on learning and understanding the concepts of numerical optimization without unnecessary involvement in the intricacies of the subject. In addition, the modular approach of the software provides the opportunity to explore the algorithms used and to develop them further or try alternative approaches. Most of the algorithms are based upon a "hill-climbing" concept which, in two dimensions, is illustrated dynamically on the computer screen in the form of contour plots and search directions. The text is not specific to any particular microcomputer. Software is available for the BBC series of machines (40/80 track disc formats) and PC-compatible machines. The software is not available from your local bookstore, but is easily obtainable using the order form in the book. Keeping proofs and lists of methods to a minimum, the book is at a level suitable for a first course in numerical analysis, with a basic knowledge of calculus and vector algebra assumed. This book/software package will be of interest to professionals, teachers, and undergraduate students in mathematics, operational research, science, and engineering as well as economics and management courses that deal with quantitative methods
505			_aGetting started Searching for an optimum Line searches Direct search methods Steepest descent Conjugate gradients Newton's method Quasi-Newton methods Least squares Global optimization Optimisation in practice Bibliography Index
650		0	_aMathematical optimization.
650		0	_aNumerical analysis.
700	1		_aMeegan, D.
700	1		_aSprevak, D.
942			_2ddc _cBOOKS
504			_aIncludes bibliographical references (p. 119-120) and index.
856	4	2	_3Publisher description _uhttp://www.loc.gov/catdir/enhancements/fy0668/90004030-d.html
999			_c24189 _d24189