| 000 | 03683nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-21275-3 | ||
| 003 | DE-He213 | ||
| 005 | 20200421112041.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150720s2015 gw | s |||| 0|eng d | ||
| 020 |
_a9783319212753 _9978-3-319-21275-3 |
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| 024 | 7 |
_a10.1007/978-3-319-21275-3 _2doi |
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| 050 | 4 | _aQA76.9.A43 | |
| 072 | 7 |
_aUMB _2bicssc |
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| 072 | 7 |
_aCOM051300 _2bisacsh |
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| 082 | 0 | 4 |
_a005.1 _223 |
| 100 | 1 |
_aCygan, Marek. _eauthor. |
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| 245 | 1 | 0 |
_aParameterized Algorithms _h[electronic resource] / _cby Marek Cygan, Fedor V. Fomin, �ukasz Kowalik, Daniel Lokshtanov, D�aniel Marx, Marcin Pilipczuk, Micha� Pilipczuk, Saket Saurabh. |
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
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| 300 |
_aXVII, 613 p. 84 illus., 25 illus. in color. _bonline resource. |
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| 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 | _aIntroduction -- Kernelization -- Bounded Search Trees -- Iterative Compression -- Randomized Methods in Parameterized Algorithms -- Miscellaneous -- Treewidth -- Finding Cuts and Separators -- Advanced Kernelization Algorithms -- Algebraic Techniques: Sieves, Convolutions, and Polynomials -- Improving Dynamic Programming on Tree Decompositions -- Matroids -- Fixed-Parameter Intractability -- Lower Bounds Based on the Exponential-Time Hypothesis -- Lower Bounds for Kernelization. | |
| 520 | _aThis comprehensive textbook presents a clean and coherent account of most fundamental tools and techniques in Parameterized Algorithms and is a self-contained guide to the area. The book covers many of the recent developments of the field, including application of important separators, branching based on linear programming, Cut & Count to obtain faster algorithms on tree decompositions, algorithms based on representative families of matroids, and use of the Strong Exponential Time Hypothesis. A number of older results are revisited and explained in a modern and didactic way. The book provides a toolbox of algorithmic techniques. Part I is an overview of basic techniques, each chapter discussing a certain algorithmic paradigm. The material covered in this part can be used for an introductory course on fixed-parameter tractability. Part II discusses more advanced and specialized algorithmic ideas, bringing the reader to the cutting edge of current research. Part III presents complexity results and lower bounds, giving negative evidence by way of W[1]-hardness, the Exponential Time Hypothesis, and kernelization lower bounds. All the results and concepts are introduced at a level accessible to graduate students and advanced undergraduate students. Every chapter is accompanied by exercises, many with hints, while the bibliographic notes point to original publications and related work. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aAlgorithms. | |
| 650 | 1 | 4 | _aComputer Science. |
| 650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
| 650 | 2 | 4 | _aAlgorithms. |
| 700 | 1 |
_aFomin, Fedor V. _eauthor. |
|
| 700 | 1 |
_aKowalik, �ukasz. _eauthor. |
|
| 700 | 1 |
_aLokshtanov, Daniel. _eauthor. |
|
| 700 | 1 |
_aMarx, D�aniel. _eauthor. |
|
| 700 | 1 |
_aPilipczuk, Marcin. _eauthor. |
|
| 700 | 1 |
_aPilipczuk, Micha�. _eauthor. |
|
| 700 | 1 |
_aSaurabh, Saket. _eauthor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319212746 |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-21275-3 |
| 912 | _aZDB-2-SCS | ||
| 942 | _cEBK | ||
| 999 |
_c56634 _d56634 |
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