000			03013cam a2200397 i 4500
001			on1266667707
003			OCoLC
005			20240726105305.0
008			210223t20192019gw ad fob 000 0 eng d
040			_aLUN _beng _erda _epn _cLUN _dOCLCO _dVT2 _dS2H _dOCLCF _dUKKNU _dLIP _dUAB _dOCLCO _dOCLCQ _dNT
020			_a3832549102
020			_a9783832549107 _q((electronic)l(electronic)ctronic)
050	0	4	_aT45 _b.D963 2019
049			_aMAIN
100	1		_aKerler-Back, Johanna, _e1
245	1	0	_aDynamic iteration and model order reduction for magneto-quasistatic systems /Johanna Kerler-Back.
260			_aBerlin, Germany : _bLogos Verlag Berlin GmbH, _c(c)2019.
300			_a1 online resource (ix, 140 pages) : _billustrations, charts
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
490	0		_aAugsburger Schriften zur Mathematik, Physik und Informatik ; _vBand 35
500			_aAuthor's doctoral thesis, Universität Augsburg.
504			_a1
530			_a2 _ub
520	0		_aOur world today is becoming increasingly complex, and technical devices are getting ever smaller and more powerful. The high density of electronic components together with high clock frequencies leads to unwanted side-effects like crosstalk, delayed signals and substrate noise, which are no longer negligible in chip design and can only insufficiently be represented by simple lumped circuit models. As a result, different physical phenomena have to be taken into consideration since they have an increasing influence on the signal propagation in integrated circuits. Computer-based simulation methods play thereby a key role. The modelling and analysis of complex multi-physics problems typically leads to coupled systems of partial differential equations and differential-algebraic equations (DAEs). Dynamic iteration and model order reduction are two numerical tools for efficient and fast simulation of coupled systems. Formodelling of low frequency electromagnetic field, we use magneto-quasistatic (MQS) systems which can be considered as an approximation to Maxwells equations. A spatial discretization by using the finite element method leads to a DAE system. We analyze the structural and physical properties of this system and develop passivity-preserving model reduction methods. A special block structure of the MQS model is exploited to to improve the performance of the model reduction algorithms.
650		0	_aTechnology.
655		1	_aElectronic Books.
700	1		_aUniversität Augsburg, _edegree awarding institution.
856	4	0	_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3541168&site=eds-live&custid=s3260518 _zClick to access digital title | log in using your CIU ID number and my.ciu.edu password
936			_aBATCHLOAD
942			_cOB _D _eEB _hT _m2019 _QOL _R _x _8NFIC _2LOC
994			_a92 _bNT
999			_c95370 _d95370
902			_a1 _bCynthia Snell _c1 _dCynthia Snell