000 03612nam a22005055i 4500
001 978-1-4614-1800-9
003 DE-He213
005 20140220083243.0
007 cr nn 008mamaa
008 111102s2012 xxu| s |||| 0|eng d
020 _a9781461418009
_9978-1-4614-1800-9
024 7 _a10.1007/978-1-4614-1800-9
_2doi
050 4 _aQA76.9.C65
072 7 _aUGK
_2bicssc
072 7 _aCOM072000
_2bisacsh
082 0 4 _a003.3
_223
100 1 _aMeyers, Robert A.
_eeditor.
245 1 0 _aComputational Complexity
_h[electronic resource] :
_bTheory, Techniques, and Applications /
_cedited by Robert A. Meyers.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _aXLIV, 3492p. 1547 illus., 665 illus. in color. eReference. In 6 volumes, not available separately.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aAgent-Based Modeling and Simulation -- Cellular Automata, Mathematical Basis of Complex Networks and Graph Theory -- Data Mining and Knowledge Discovery -- Game Theory -- Granular Computing -- Intelligent Systems -- Probability and Statistics in Complex Systems -- Quantum Information Science -- Social Network Analysis -- 3 entries from the section Social Science, Physics and Mathematical Applications: Minority Games; Rational, Goal-Oriented Agents; and Social Processes, Simulation Models in Soft Computing -- Unconventional Computing -- Wavelets.
520 _aComplex systems are systems that comprise many interacting parts with the ability to generate a new quality of collective behavior through self-organization, e.g. the spontaneous formation of temporal, spatial or functional structures.  These systems are often characterized by extreme sensitivity to initial conditions as well as emergent behavior that are not readily predictable or even completely deterministic.  The recognition that the collective behavior of the whole system cannot be simply inferred from an understanding of the behavior of the individual components has led to the development of numerous sophisticated new computational and modeling tools with applications to a wide range of scientific, engineering, and societal phenomena. Computational Complexity: Theory, Techniques and Applications presents a detailed and integrated view of the theoretical basis, computational methods, and state-of-the-art approaches to investigating and modeling of inherently difficult problems whose solution requires extensive resources approaching the practical limits of present-day computer systems.  This comprehensive and authoritative reference examines key components of computational complexity, including cellular automata, graph theory, data mining, granular computing, soft computing, wavelets, and more.
650 0 _aComputer science.
650 0 _aInformation theory.
650 0 _aComputer software.
650 0 _aData mining.
650 0 _aComputer simulation.
650 1 4 _aComputer Science.
650 2 4 _aSimulation and Modeling.
650 2 4 _aComplex Systems.
650 2 4 _aComplex Networks.
650 2 4 _aTheory of Computation.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461417996
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-1800-9
912 _aZDB-2-SCS
999 _c101135
_d101135