LEADER 05135nam 22007455 450 001 9910360850603321 005 20230103115834.0 010 $a3-030-27550-7 024 7 $a10.1007/978-3-030-27550-1 035 $a(CKB)4100000009938025 035 $a(MiAaPQ)EBC5983849 035 $a(DE-He213)978-3-030-27550-1 035 $a(PPN)258059877 035 $a(EXLCZ)994100000009938025 100 $a20191122d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProgress in Industrial Mathematics at ECMI 2018 /$fedited by István Faragó, Ferenc Izsák, Péter L. Simon 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (605 pages) 225 1 $aThe European Consortium for Mathematics in Industry ;$v30 311 $a3-030-27549-3 327 $aPART I: Modeling of industrial processes -- PART II: Biological and medical models and applications -- PART III: Novel numerical methods for industrial mathematics -- PART IV: Optimization and control of industrial problems -- PART V: Processing and using measurements data in industrial problems -- Author index. 330 $aThis book explores mathematics in a wide variety of applications, ranging from problems in electronics, energy and the environment, to mechanics and mechatronics. The book gathers 81 contributions submitted to the 20th European Conference on Mathematics for Industry, ECMI 2018, which was held in Budapest, Hungary in June 2018. The application areas include: Applied Physics, Biology and Medicine, Cybersecurity, Data Science, Economics, Finance and Insurance, Energy, Production Systems, Social Challenges, and Vehicles and Transportation. In turn, the mathematical technologies discussed include: Combinatorial Optimization, Cooperative Games, Delay Differential Equations, Finite Elements, Hamilton-Jacobi Equations, Impulsive Control, Information Theory and Statistics, Inverse Problems, Machine Learning, Point Processes, Reaction-Diffusion Equations, Risk Processes, Scheduling Theory, Semidefinite Programming, Stochastic Approximation, Spatial Processes, System Identification, and Wavelets. The goal of the European Consortium for Mathematics in Industry (ECMI) conference series is to promote interaction between academia and industry, leading to innovations in both fields. These events have attracted leading experts from business, science and academia, and have promoted the application of novel mathematical technologies to industry. They have also encouraged industrial sectors to share challenging problems where mathematicians can provide fresh insights and perspectives. Lastly, the ECMI conferences are one of the main forums in which significant advances in industrial mathematics are presented, bringing together prominent figures from business, science and academia to promote the use of innovative mathematics in industry. 410 0$aThe European Consortium for Mathematics in Industry ;$v30 606 $aMathematical physics 606 $aMathematical optimization 606 $aProbabilities 606 $aDiscrete mathematics 606 $aData structures (Computer science) 606 $aOptical data processing 606 $aMathematical Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/M35000 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aDiscrete Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M29000 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aMathematical physics. 615 0$aMathematical optimization. 615 0$aProbabilities. 615 0$aDiscrete mathematics. 615 0$aData structures (Computer science) 615 0$aOptical data processing. 615 14$aMathematical Physics. 615 24$aOptimization. 615 24$aProbability Theory and Stochastic Processes. 615 24$aDiscrete Mathematics. 615 24$aData Structures and Information Theory. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a620.00151 686 $aTVU$2ghbs 702 $aFaragó$b István$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIzsák$b Ferenc$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSimon$b Péter L$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910360850603321 996 $aProgress in Industrial Mathematics at ECMI 2018$91733503 997 $aUNINA