000 02592nam a22003735i 4500
001 395246
003 ES-MaUEC
005 20230110120135.0
007 cr nn 008mamaa
008 210801s2022 sz | s |||| 0|eng d
020 _a9783030767877
024 7 _a10.1007/978-3-030-76787-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
050 4 _aQA166
_b2022 EB
245 1 0 _aGraph-Based Modelling in Science, Technology and Art
_cedited by Stanisław Zawiślak, Jacek Rysiński.
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (X, 310 páginas)
_b180 ilustraciones, 84 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aMechanisms and Machine Science
_x2211-0992
_v107
505 0 _aGraph-based modeling in technology especially in mechanical engineering and logistics -- Graph based-modelling in science especially in medicine and chemistry -- Graph-based modeling in art, design and network modeling.
520 _aThis book presents interdisciplinary, cutting-edge and creative applications of graph theory and modeling in science, technology, architecture and art. Topics are divided into three parts: the first one examines mechanical problems related to gears, planetary gears and engineering installations; the second one explores graph-based methods applied to medical analyses as well as biological and chemical modeling; and the third part includes various topics e.g. drama analysis, aiding of design activities and network visualisation. The authors represent several countries in Europe and America, and their contributions show how different, useful and fruitful the utilization of graphs in modelling of engineering systems can be. The book has been designed to serve readers interested in the subject of graph modelling and those with expertise in related areas, as well as members of the worldwide community of graph modelers.
776 0 8 _iPrinted edition:
_z9783030767860
776 0 8 _iPrinted edition:
_z9783030767884
776 0 8 _iPrinted edition:
_z9783030767891
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-76787-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Engineering_2022
999 _c395246
_d395246