LEADER 04380nam 2201105z- 450 001 9910639990503321 005 20231214132852.0 010 $a3-0365-5940-X 035 $a(CKB)5470000001633449 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/95795 035 $a(EXLCZ)995470000001633449 100 $a20202301d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModeling and Simulation in Engineering 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (290 p.) 311 $a3-0365-5939-6 330 $aThe Special Issue Modeling and Simulation in Engineering, belonging to the section Engineering Mathematics of the Journal Mathematics, publishes original research papers dealing with advanced simulation and modeling techniques. The present book, ?Modeling and Simulation in Engineering I, 2022?, contains 14 papers accepted after peer review by recognized specialists in the field. The papers address different topics occurring in engineering, such as ferrofluid transport in magnetic fields, non-fractal signal analysis, fractional derivatives, applications of swarm algorithms and evolutionary algorithms (genetic algorithms), inverse methods for inverse problems, numerical analysis of heat and mass transfer, numerical solutions for fractional differential equations, Kriging modelling, theory of the modelling methodology, and artificial neural networks for fault diagnosis in electric circuits. It is hoped that the papers selected for this issue will attract a significant audience in the scientific community and will further stimulate research involving modelling and simulation in mathematical physics and in engineering. 606 $aResearch & information: general$2bicssc 606 $aMathematics & science$2bicssc 610 $acategory theory 610 $amathematical modelling 610 $aabstraction 610 $aformal approaches 610 $afunctors 610 $asurrogate model 610 $aKriging 610 $ahigh-dimensional problems 610 $aprincipal component dimension reduction 610 $atrochoidal milling 610 $avariable feed 610 $aspiral groove 610 $aCAM 610 $aLevy walks 610 $aanomalous diffusion 610 $afractional material derivative 610 $acombustion process 610 $alocal estimate 610 $aMonte Carlo method 610 $amodeling 610 $aanalog circuits 610 $afault diagnosis 610 $aneural networks 610 $acarbon nanotubes 610 $aheat transfer 610 $ananofluid 610 $arotating 610 $astretching/shrinking 610 $aadjoint 610 $agradient-descent 610 $ajunctions 610 $atransport equation 610 $aunsteady flow 610 $arotation 610 $ahybrid nanofluid 610 $astretching sheet 610 $aradiation 610 $ainverse modeling 610 $acalcium leaching 610 $agrout curtain 610 $ahydraulic conductivity 610 $aoptimization 610 $afuzzy model 610 $aresponse surface methodology 610 $adiesel engine performance 610 $abiodiesel 610 $aanomalous diffusion equation 610 $acontinuous time random walk 610 $aroughness scaling extraction 610 $afractal dimension 610 $aaccelerated algorithm 610 $aWeierstrass-Mandelbrot function 610 $amilling vibration signal 610 $aspot volatility 610 $achange of frequency 610 $aroughness of volatility 610 $ahurst exponent 610 $aChinese A-share market 610 $aferrofluidslip effect 610 $aStefan blowing 610 $athermodiffusion 615 7$aResearch & information: general 615 7$aMathematics & science 700 $aPetrescu$b Camelia$4edt$01302705 702 $aDavid$b Valeriu$4edt 702 $aPetrescu$b Camelia$4oth 702 $aDavid$b Valeriu$4oth 906 $aBOOK 912 $a9910639990503321 996 $aModeling and Simulation in Engineering$93026436 997 $aUNINA