Understanding and Using Linear Programming

This is an introductory textbook of linear programming, written mainly for students of computer science and mathematics. Our guiding phrase is, “what everytheoreticalcomputerscientistshouldknowaboutlinearprogramming.” The book is relatively concise, in order to allow the reader to focus on the basic...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Matoušek, Jiří (Συγγραφέας), Gärtner, Bernd (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Universitext
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03076nam a22005295i 4500
001 978-3-540-30717-4
003 DE-He213
005 20151204173548.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 |a 9783540307174  |9 978-3-540-30717-4 
024 7 |a 10.1007/978-3-540-30717-4  |2 doi 
040 |d GrThAP 
050 4 |a QA402.5-402.6 
072 7 |a PBU  |2 bicssc 
072 7 |a MAT003000  |2 bisacsh 
082 0 4 |a 519.6  |2 23 
100 1 |a Matoušek, Jiří.  |e author. 
245 1 0 |a Understanding and Using Linear Programming  |h [electronic resource] /  |c by Jiří Matoušek, Bernd Gärtner. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2007. 
300 |a VIII, 226 p. 62 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Universitext 
505 0 |a What Is It, and What For? -- Examples -- Integer Programming and LP Relaxation -- Theory of Linear Programming: First Steps -- The Simplex Method -- Duality of Linear Programming -- Not Only the Simplex Method -- More Applications -- Software and Further Reading. 
520 |a This is an introductory textbook of linear programming, written mainly for students of computer science and mathematics. Our guiding phrase is, “what everytheoreticalcomputerscientistshouldknowaboutlinearprogramming.” 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 0 |a Mathematics. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Computer science  |x Mathematics. 
650 0 |a Mathematical optimization. 
650 0 |a Management science. 
650 1 4 |a Mathematics. 
650 2 4 |a Optimization. 
650 2 4 |a Operations Research, Management Science. 
650 2 4 |a Mathematics of Computing. 
650 2 4 |a Operation Research/Decision Theory. 
700 1 |a Gärtner, Bernd.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540306979 
830 0 |a Universitext 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-30717-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)