000			a
999			_c34935 _d34935
008			251014b xxu||||| |||| 00| 0 eng d
020			_a9783319239996 _c(hbk)
082			_a519.72 _bKAN
100			_aKahng, Andrew B.
245			_aLinear and integer programming made easy
260			_bSpringer, _c2016 _aSwitzerland :
300			_ax, 143 p. ; _bill., _c24 cm.
365			_b59.99 _c€ _d104.36
490			_a2016 Springer EBA Collection.
504			_aIncludes bibliographical references and index.
520			_aAnnotation. This textbook provides concise coverage of the basics of linear and integer programming which, with megatrends toward optimization, machine learning, big data, etc., are becoming fundamental toolkits for data and information science and technology. The authors' approach is accessible to students from almost all fields of engineering, including operations research, statistics, machine learning, control system design, scheduling, formal verification and computer vision. The presentations enables the basis for numerous approaches to solving hard combinatorial optimization problems through randomization and approximation.
650			_aScience and Nature
650			_aTechnology
650			_aApplied Mathematics
650			_aComputers Data Processing
650			_aComputers Data Processing
650			_aElectronics Circuits
650			_aInteger programming
700			_aHu, T. C.
942			_2ddc _cBK