| 000 | 05284naaaa2201357uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/81025 | ||
| 005 | 20220714172108.0 | ||
| 020 | _abooks978-3-0365-3277-6 | ||
| 020 | _a9783036532769 | ||
| 020 | _a9783036532776 | ||
| 024 | 7 |
_a10.3390/books978-3-0365-3277-6 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aGP _2bicssc |
|
| 072 | 7 |
_aP _2bicssc |
|
| 100 | 1 |
_aScutaru, Maria Luminița _4edt _91586731 |
|
| 700 | 1 |
_aPruncu, Catalin I. _4edt _91586732 |
|
| 700 | 1 |
_aScutaru, Maria Luminița _4oth _91586731 |
|
| 700 | 1 |
_aPruncu, Catalin I. _4oth _91586732 |
|
| 245 | 1 | 0 | _aMathematical Modeling and Simulation in Mechanics and Dynamic Systems |
| 260 |
_aBasel _bMDPI - Multidisciplinary Digital Publishing Institute _c2022 |
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| 300 | _a1 electronic resource (342 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aThe present book contains the 16 papers accepted and published in the Special Issue "Mathematical Modeling and Simulation in Mechanics and Dynamic Systems" of the MDPI "Mathematics" journal, which cover a wide range of topics connected to the theory and applications of Modeling and Simulation of Dynamic Systems in different field. These topics include, among others, methods to model and simulate mechanical system in real engineering. It is hopped that the book will find interest and be useful for those working in the area of Modeling and Simulation of the Dynamic Systems, as well as for those with the proper mathematical background and willing to become familiar with recent advances in Dynamic Systems, which has nowadays entered almost all sectors of human life and activity. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _4https://creativecommons.org/licenses/by/4.0/ |
||
| 546 | _aEnglish | ||
| 650 | 7 |
_aResearch & information: general _2bicssc _9928234 |
|
| 650 | 7 |
_aMathematics & science _2bicssc _91014621 |
|
| 653 | _aT-stress | ||
| 653 | _aX-FEM | ||
| 653 | _anotch | ||
| 653 | _apipe | ||
| 653 | _astress difference method (SDM) | ||
| 653 | _asystem of transcendental equation | ||
| 653 | _acomputational solutions | ||
| 653 | _acode-based modelling approach | ||
| 653 | _anumerical analysis | ||
| 653 | _aSine-Gordon equations | ||
| 653 | _aphotovoltaics | ||
| 653 | _athermophotovoltaics | ||
| 653 | _asolar energy | ||
| 653 | _apolymer CNTs systems | ||
| 653 | _ainterphase section | ||
| 653 | _apercolation onset | ||
| 653 | _amechanics | ||
| 653 | _ahigh temperature proton exchange membrane fuel cell | ||
| 653 | _aexergy analysis | ||
| 653 | _aecological analysis | ||
| 653 | _aecological coefficient of performance | ||
| 653 | _aSARS-CoV-2 | ||
| 653 | _aCOVID-19 | ||
| 653 | _aSEIRD (Susceptible, Exposed, Infected and Recovered and Death) | ||
| 653 | _aSDL | ||
| 653 | _aCatalonia | ||
| 653 | _ananowire cantilever | ||
| 653 | _astochastic model | ||
| 653 | _adouble Lorentzian spectrum | ||
| 653 | _aHT-PEMFC | ||
| 653 | _airreversibility | ||
| 653 | _afinite time thermodynamic optimization | ||
| 653 | _apower density | ||
| 653 | _athermodynamic efficiency | ||
| 653 | _ageometric analogy | ||
| 653 | _asimilarity theory | ||
| 653 | _adimensional analysis | ||
| 653 | _amodel law | ||
| 653 | _aheat transfer | ||
| 653 | _astraight bar | ||
| 653 | _aDeep Learning (DL) | ||
| 653 | _aComputational Fluid Dynamics (CFD) | ||
| 653 | _aArtificial Neural Network (ANN) | ||
| 653 | _aConvolutional Neural Network (CNN) | ||
| 653 | _aturbulent flow | ||
| 653 | _amachine learning | ||
| 653 | _adeep learning | ||
| 653 | _aartificial neural network | ||
| 653 | _aANN | ||
| 653 | _aPEM fuel cell | ||
| 653 | _amodeling | ||
| 653 | _acontrol | ||
| 653 | _adifferentiability | ||
| 653 | _afractal hydrodynamic regimes | ||
| 653 | _afractal Schrödinger regimes | ||
| 653 | _afractal soliton | ||
| 653 | _afractal kink | ||
| 653 | _a"holographic implementations" | ||
| 653 | _acubics | ||
| 653 | _aapolar transport | ||
| 653 | _aharmonic mapping principle | ||
| 653 | _aperiod doubling scenario | ||
| 653 | _astate probability functions | ||
| 653 | _apartial aging in standby | ||
| 653 | _aMonte Carlo simulation | ||
| 653 | _aqualitative and quantitative verification of simulation model | ||
| 653 | _aLagrange-d'Alembert principle | ||
| 653 | _anon-conservative dynamical system | ||
| 653 | _aEuler-Poincaré equation | ||
| 653 | _ahelicopter model | ||
| 653 | _aLie group | ||
| 653 | _aextended iso-geometric analysis | ||
| 653 | _aextended finite element method | ||
| 653 | _acrack | ||
| 653 | _apipeline | ||
| 653 | _aABAQUS | ||
| 653 | _aharmonic mapping | ||
| 653 | _acomplex system dynamics | ||
| 653 | _aSL (2R) group | ||
| 653 | _ahidden symmetries | ||
| 653 | _acomputer simulations | ||
| 653 | _aactual systems | ||
| 653 | _atransfer learning | ||
| 653 | _aautonomous feature extraction | ||
| 653 | _an/a | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/5367 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/81025 _70 _zDOAB: description of the publication |
| 999 |
_c2991415 _d2991415 |
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