000			01705nam a22002057a 4500
008			231205b ||||| |||| 00| 0 eng d
020			_a9783540306979 (pbk)
082			_a519.72 _bMAT
100			_aMatousek, Jiri _910381
245			_aUnderstanding and using linear programming
260			_aNew York _bSpringer _c2007
300			_aviii, 222p.
500			_ahttps://link.springer.com/book/10.1007/978-3-540-30717-4#about-this-book
520			_aThis is an introductory textbook of linear programming, written mainly for students of computer science and mathematics. Our guiding phrase is, "what every theoretical computer scientist should know about linear programming". The book is relatively concise, in order to allow the reader to focus on the basic ideas. For a number of topics commonly appearing in thicker books on the subject, we were seriously tempted to add them to the main text, but we decided to present them only very brie?y in a separate glossary. At the same time, we aim at covering the main results with complete proofs and in su?cient detail, in a way ready for presentation in class. One of the main focuses is applications of linear programming, both in practice and in theory. Linear programming has become an extremely ?- ible tool in theoretical computer science and in mathematics. While many of the ?nest modern applications are much too complicated to be included in an introductory text, we hope to communicate some of the ?avor (and excitement) of such applications on simpler examples.
650			_aLinear programming _96304
650			_aMathematical optimization _9688
650			_aOperations research _96311
700			_aGartner, Bernd _910382
942			_cBK
999			_c9877 _d9877