LEADER 03664nam 2200565 450 001 9910483829303321 005 20230420165131.0 010 $a3-030-59223-5 024 7 $a10.1007/978-3-030-59223-3 035 $a(CKB)4100000011781417 035 $a(DE-He213)978-3-030-59223-3 035 $a(MiAaPQ)EBC6511518 035 $a(Au-PeEL)EBL6511518 035 $a(OCoLC)1241451994 035 $a(PPN)254721435 035 $a(EXLCZ)994100000011781417 100 $a20211006d2021 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances on links between mathematics and industry $eCTMI 2019 /$fPeregrina Quintela Este?vez [and three others], editors 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (IX, 154 p. 97 illus., 89 illus. in color.) 225 1 $aSxi - Springer per l'innovazione ;$vVolume 15 311 $a3-030-59222-7 320 $aIncludes bibliographical references and index. 327 $a1. Perez, Hector D. and Grossmann, Ignacio E., Recent Advances in Computational Models for the Discrete and Continuous Optimization of Industrial Process Systems -- 2 Casal, G. at al., Optimal Design of a Railway Bypass at Parga, Northwest of Spain -- 3. Parolini, N. et al., Reduced models for liquid food packaging systems -- 4. Martín, E. et al., Reduced order modelling in the manufacturing process of wire rod: Applications for fast temperature predictions and optimal selection of process parameters -- 5. Coroas, C. and Martín, Elena B., Modelling and numerical simulation of the quenching heat treatment. Application to the industrial quenching of automotive spindles -- 6. Alborés, Alfredo R. and Rodríguez, J., Single Particle Models for the Numerical Simulation of Lithium-ion Cells -- 7. Casasnovas, D. and Rivero, Á., Fracture propagation using a phase field approach -- 8. López García, J. and Rivero, Á., Phase space learning with neural networks. 330 $aThis book results from the talks presented at the First Conference on Transfer between Mathematics & Industry (CTMI 2019). Its goal is to promote and disseminate the mathematical tools for Statistics & Big Data, MSO (Modeling, Simulation and Optimization) and their industrial applications. In this volume, the reader will find innovative advances in the automotive, energy, railway, logistics, and materials sectors. In addition, Advances CTMI 2019 promotes the opening of new research lines aiming to provide suitable solutions for the industrial and societal challenges. Fostering effective interaction between Academia and Industry is our main purpose with this book. CTMI conferences are one of the main forums where significant advances in industrial mathematics are presented, bringing together outstanding leaders from business, science and Academia to promote the use of mathematics for an innovative industry. 410 0$aSxi - Springer per l'innovazione ;$vVolume 15. 606 $aComputer science$xMathematics 606 $aInformàtica$2thub 606 $aMatemàtica$2thub 608 $aCongressos$2thub 608 $aLlibres electrònics$2thub 615 0$aComputer science$xMathematics. 615 7$aInformàtica 615 7$aMatemàtica 676 $a004.0151 702 $aQuintela Este?vez$b Peregrina 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483829303321 996 $aAdvances on links between mathematics and industry$91890263 997 $aUNINA