000			03039nam a22004815i 4500
001			978-1-4614-4211-0
003			DE-He213
005			20140220083249.0
007			cr nn 008mamaa
008			120726s2012 xxu| s |||| 0|eng d
020			_a9781461442110 _9978-1-4614-4211-0
024	7		_a10.1007/978-1-4614-4211-0 _2doi
050		4	_aQA402.5-402.6
072		7	_aPBU _2bicssc
072		7	_aMAT003000 _2bisacsh
082	0	4	_a519.6 _223
100	1		_aSergienko, Ivan V. _eauthor.
245	1	0	_aMethods of Optimization and Systems Analysis for Problems of Transcomputational Complexity _h[electronic resource] / _cby Ivan V. Sergienko.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2012.
300			_aXIV, 266 p. 23 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Optimization and Its Applications, _x1931-6828 ; _v72
505	0		_aPreface -- 1. Science Was the Meaning of His Life -- 2. Optimization Methods and Their Efficient Use -- 3. Mathematical Modeling and Analysis of Complex Processes on Supercomputer Systems -- 4. Problems of Modeling and Analysis of Processes in Economic Cybernetics -- 5. Problems of Solving Complicated Combinatorial Problems -- Afterward -- References -- Index.
520			_aThis work presents lines of investigation and scientific achievements of the Ukrainian school of optimization theory and adjacent disciplines. These include the development of approaches to mathematical theories, methodologies, methods, and application systems for the solution of applied problems in economy, finances, energy saving, agriculture, biology, genetics, environmental protection, hardware and software engineering, information protection, decision making, pattern recognition, self-adapting control of complicated objects, personnel training, etc. The methods developed include sequential analysis of variants, nondifferential optimization, stochastic optimization, discrete optimization, mathematical modeling, econometric modeling, solution of extremum problems on graphs, construction of discrete images and combinatorial recognition, etc. Some of these methods became well known in the world's mathematical community and are now known as classic methods.
650		0	_aMathematics.
650		0	_aComputer simulation.
650		0	_aComputer vision.
650		0	_aMathematical optimization.
650	1	4	_aMathematics.
650	2	4	_aOptimization.
650	2	4	_aSimulation and Modeling.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461442103
830		0	_aSpringer Optimization and Its Applications, _x1931-6828 ; _v72
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-4211-0
912			_aZDB-2-SMA
999			_c101487 _d101487