000			01556 n a2200217 4500
001			u7460
003			SIRSI
005			20251112200007.0
008			|a250901t2011 enka r 01|0 eng d
020			_a9781493937035
040			_aclrauoh _beng _cclrauoh _erda
100			_aBirge, John R., _eauthor.
245	1	0	_aIntroduction to stochastic programming / _cJohn R. Birge ; François Louveaux.
250			_aSecond edition.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
520			_aThe aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors aim to present a broad overview of the main themes and methods of the subject. Its prime goal is to help students develop an intuition on how to model uncertainty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems.
650			_aStochastic programming.
700			_aLouveaux, François, _eauthor.
999			_c6476 _d6476