000 03426nam a22005055i 4500
001 978-3-319-24001-5
003 DE-He213
005 20200420220224.0
007 cr nn 008mamaa
008 160503s2016 gw | s |||| 0|eng d
020 _a9783319240015
_9978-3-319-24001-5
024 7 _a10.1007/978-3-319-24001-5
_2doi
050 4 _aTK7888.4
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
082 0 4 _a621.3815
_223
100 1 _aHu, T. C.
_eauthor.
245 1 0 _aLinear and Integer Programming Made Easy
_h[electronic resource] /
_cby T. C. Hu, Andrew B. Kahng.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aX, 143 p. 24 illus., 1 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPreliminaries -- Introduction -- Dimension of the Solution Space -- Introduction to the Simplex Method -- Duality and Complementary Slackness -- Revised Simplex Method -- Column Generating Technique -- The Knapsack Problem -- Asymptotic Algorithms -- The World Map of Integer Programs -- Linear and Integer Programming in Practice.
520 _aLinear and integer programming are fundamental toolkits for data and information science and technology, particularly in the context of today's megatrends toward statistical optimization, machine learning, and big data analytics. Drawn from over 30 years of classroom teaching and applied research experience, this textbook provides a crisp and practical introduction to the basics of linear and integer programming. The authors' approach is accessible to students from all fields of engineering, including operations research, statistics, machine learning, control system design, scheduling, formal verification, and computer vision. Readers will learn to cast hard combinatorial problems as mathematical programming optimizations, understand how to achieve formulations where the objective and constraints are linear, choose appropriate solution methods, and interpret results appropriately. •Provides a concise introduction to linear and integer programming, appropriate for undergraduates, graduates, a short course or boot camp, or self-learning; •Targets not only computer scientists and engineers, but those in management science and operations research as well; •Emphasizes basics and intuitive concepts, and gives corresponding numerical examples; •Includes exercises to test and reinforce the concepts introduced, along with a website containing additional material matched to the book's contents.
650 0 _aEngineering.
650 0 _aComputer science
_xMathematics.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aElectronic circuits.
650 1 4 _aEngineering.
650 2 4 _aCircuits and Systems.
650 2 4 _aMath Applications in Computer Science.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aApplications of Mathematics.
700 1 _aKahng, Andrew B.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319239996
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-24001-5
912 _aZDB-2-ENG
942 _cEBK
999 _c52081
_d52081