000			03251nam a22004695i 4500
001			978-1-907343-78-0
003			DE-He213
005			20140220083252.0
007			cr nn 008mamaa
008			120404s2012 xxk| s |||| 0|eng d
020			_a9781907343780 _9978-1-907343-78-0
024	7		_a10.1007/978-1-907343-78-0 _2doi
050		4	_aTA329-348
050		4	_aTA640-643
072		7	_aTBJ _2bicssc
072		7	_aMAT003000 _2bisacsh
082	0	4	_a519 _223
100	1		_aKuneš, Josef. _eauthor.
245	1	0	_aSimilarity and Modeling in Science and Engineering _h[electronic resource] / _cby Josef Kuneš.
264		1	_aCambridge : _bCambridge International Science Publishing Ltd, _c2012.
300			_aXVII, 440p. 143 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aFrom the Contents: Methodology of Modeling -- Dimensional Analysis -- Methods of Similarity Analysis -- Mathematical Models -- Physical Models -- Physical Analogs -- Computer Deterministic Models -- Computer Stochastic Models -- Cybernetic Models.
520			_aThe present text sets itself in relief to other titles on the subject in that it addresses the means and methodologies versus a narrow specific-task oriented approach. Concepts and their developments which evolved to meet the changing needs of applications are addressed. This approach provides the reader with a general tool-box to apply to their specific needs. Two important tools are presented: dimensional analysis and the similarity analysis methods. The fundamental point of view, enabling one to sort all models, is that of information flux between a model and an original expressed by the similarity and abstraction. Each chapter includes original examples and ap-plications. In this respect, the models can be divided into several groups. The following models are dealt with separately by chapter; mathematical and physical models, physical analogues, deterministic, stochastic, and cybernetic computer models. The mathematical models are divided into asymptotic and phenomenological models. The phenomenological models, which can also be called experimental, are usually the result of an experiment on a complex object or process. The variable dimensionless quantities contain information about the real state of boundary conditions, parameter (non-linearity) changes, and other factors. With satisfactory measurement accuracy and experimental strategy, such models are highly credible and can be used, for example, in control systems.
650		0	_aEngineering.
650		0	_aComputer aided design.
650		0	_aComputer science.
650		0	_aEngineering mathematics.
650	1	4	_aEngineering.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
650	2	4	_aComputer-Aided Engineering (CAD, CAE) and Design.
650	2	4	_aComputational Science and Engineering.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781907343773
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-907343-78-0
912			_aZDB-2-ENG
999			_c101658 _d101658