000 03614nam a22005535i 4500
001 978-3-030-43388-8
003 DE-He213
005 20220801215051.0
007 cr nn 008mamaa
008 200408s2020 sz | s |||| 0|eng d
020 _a9783030433888
_9978-3-030-43388-8
024 7 _a10.1007/978-3-030-43388-8
_2doi
050 4 _aTA349-359
072 7 _aTGMD
_2bicssc
072 7 _aSCI096000
_2bisacsh
072 7 _aTGMD
_2thema
082 0 4 _a620.105
_223
100 1 _aÖchsner, Andreas.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942141
245 1 0 _aNumerical Engineering Optimization
_h[electronic resource] :
_bApplication of the Computer Algebra System Maxima /
_cby Andreas Öchsner, Resam Makvandi.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aVIII, 228 p. 68 illus., 52 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1. Introduction -- 2. Unconstrained Functions of One Variable -- 3. Constrained Functions of One Variable -- 4. Unconstrained Functions of Several Variables -- 5. Constrained Functions of Several Variables -- 6. Answers to Supplementary Problems.
520 _aThis study aid on numerical optimization techniques is intended for university undergraduate and postgraduate mechanical engineering students. Optimization procedures are becoming more and more important for lightweight design, where weight reduction can, for example in the case of automotive or aerospace industry, lead to lower fuel consumption and a corresponding reduction in operational costs as well as beneficial effects on the environment. Based on the free computer algebra system Maxima, the authors present procedures for numerically solving problems in engineering mathematics as well as applications taken from traditional courses on the strength of materials. The mechanical theories focus on the typical one-dimensional structural elements, i.e., springs, bars, and Euler–Bernoulli beams, in order to reduce the complexity of the numerical framework and limit the resulting design to a low number of variables. The use of a computer algebra system and the incorporated functions, e.g., for derivatives or equation solving, allows a greater focus on the methodology of the optimization methods and not on standard procedures. The book also provides numerous examples, including some that can be solved using a graphical approach to help readers gain a better understanding of the computer implementation.
650 0 _aMechanics, Applied.
_93253
650 0 _aSolids.
_93750
650 0 _aMathematical optimization.
_94112
650 0 _aCalculus of variations.
_917382
650 0 _aEngineering mathematics.
_93254
650 1 4 _aSolid Mechanics.
_931612
650 2 4 _aCalculus of Variations and Optimization.
_931596
650 2 4 _aEngineering Mathematics.
_93254
700 1 _aMakvandi, Resam.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942142
710 2 _aSpringerLink (Online service)
_942143
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030433871
776 0 8 _iPrinted edition:
_z9783030433895
776 0 8 _iPrinted edition:
_z9783030433901
856 4 0 _uhttps://doi.org/10.1007/978-3-030-43388-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77073
_d77073