000			01812 a2200301 4500
001			1138561312
005			20250317100411.0
008			250312042019xx eng
020			_a9781138561311
037			_bTaylor & Francis _cGBP 51.99 _fBB
040			_a01
041			_aeng
072	7		_aPBW _2thema
072	7		_aTGB _2thema
072	7		_aPBW _2bic
072	7		_aTGB _2bic
072	7		_aMAT003000 _2bisac
072	7		_aTEC009070 _2bisac
072	7		_aTEC009020 _2bisac
072	7		_a620.001519703 _2bisac
100	1		_aDavid Trujillo
245	1	0	_aPractical Inverse Analysis in Engineering (1997)
250			_a1
260			_bCRC Press _c20190125
300			_a250 p
520			_bContinuing advances in computer technology have made it possible for engineers and scientists to construct increasingly realistic models of physical processes. Practical Inverse Analysis in Engineering addresses an important area of engineering that will become even more significant to engineers and scientists - combining measurements with engineering models. This self-contained text presents applied mathematical tools for bridging the gap between real-world measurements and mathematical models. The book demonstrates how to treat "ill-conditioned" inverse analysis problems - those problems where the solution is extremely sensitive to the data - with the powerful theory of dynamic programming. A second theory, generalized-cross-validation, is also discussed as a useful partner in handling real data. The material in the book, much of it published for the first time, presents theories in a general unified setting, so readers can apply the information to their models. A disk containing DYNAVAL programming software lets readers try the methods presented in the text.
700	1		_aHenry Busby _4A01
999			_c2396 _d2396