| 000 | 03865nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-24001-5 | ||
| 003 | DE-He213 | ||
| 005 | 20220801221734.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160503s2016 sz | s |||| 0|eng d | ||
| 020 |
_a9783319240015 _9978-3-319-24001-5 |
||
| 024 | 7 |
_a10.1007/978-3-319-24001-5 _2doi |
|
| 050 | 4 | _aTK7867-7867.5 | |
| 072 | 7 |
_aTJFC _2bicssc |
|
| 072 | 7 |
_aTEC008010 _2bisacsh |
|
| 072 | 7 |
_aTJFC _2thema |
|
| 082 | 0 | 4 |
_a621.3815 _223 |
| 100 | 1 |
_aHu, T. C. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _957700 |
|
| 245 | 1 | 0 |
_aLinear and Integer Programming Made Easy _h[electronic resource] / _cby T. C. Hu, Andrew B. Kahng. |
| 250 | _a1st ed. 2016. | ||
| 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 |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 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 |
_aElectronic circuits. _919581 |
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| 650 | 0 |
_aComputer science—Mathematics. _931682 |
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| 650 | 0 |
_aEngineering mathematics. _93254 |
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| 650 | 0 |
_aEngineering—Data processing. _931556 |
|
| 650 | 0 |
_aMathematics. _911584 |
|
| 650 | 1 | 4 |
_aElectronic Circuits and Systems. _957701 |
| 650 | 2 | 4 |
_aMathematical Applications in Computer Science. _931683 |
| 650 | 2 | 4 |
_aMathematical and Computational Engineering Applications. _931559 |
| 650 | 2 | 4 |
_aApplications of Mathematics. _931558 |
| 700 | 1 |
_aKahng, Andrew B. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _957702 |
|
| 710 | 2 |
_aSpringerLink (Online service) _957703 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319239996 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319240008 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319795683 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-24001-5 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c79998 _d79998 |
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