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020 _a9783030433888
024 7 _a10.1007/978-3-030-43388-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA402.5
_b2020 EB
100 _aÖchsner, Andreas.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/nb2007004947
_1http://viaf.org/viaf/63534128
_997249
245 1 0 _aNumerical Engineering Optimization
_bApplication of the Computer Algebra System Maxima
_cby Andreas Öchsner, Resam Makvandi
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2020
300 _a1 recurso en línea (VIII, 228 páginas)
_b68 ilustraciones, 52 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aEngineering (Springer-11647)
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 3 _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.
988 _aSpringer_Engineering_23062020
650 7 _aOptimización matemática
_2embne
_9145705
700 1 _aMakvandi, Resam
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/4153593720151670682
_9670976
710 2 _aSpringerLink (Online service)
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/148105729
776 0 8 _iPrinted edition:
_z9783030433871
776 0 8 _iPrinted edition:
_z9783030433895
776 0 8 _iPrinted edition:
_z9783030433901
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-43388-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b07/2020
_dz
_eo
_zSI