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Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics
| Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics |
| Autore | Fritzen Felix |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto non controllato |
supervised machine learning
proper orthogonal decomposition (POD) PGD compression stabilization nonlinear reduced order model gappy POD symplectic model order reduction neural network snapshot proper orthogonal decomposition 3D reconstruction microstructure property linkage nonlinear material behaviour proper orthogonal decomposition reduced basis ECSW geometric nonlinearity POD model order reduction elasto-viscoplasticity sampling surrogate modeling model reduction enhanced POD archive modal analysis low-rank approximation computational homogenization artificial neural networks unsupervised machine learning large strain reduced-order model proper generalised decomposition (PGD) a priori enrichment elastoviscoplastic behavior error indicator computational homogenisation empirical cubature method nonlinear structural mechanics reduced integration domain model order reduction (MOR) structure preservation of symplecticity heterogeneous data reduced order modeling (ROM) parameter-dependent model data science Hencky strain dynamic extrapolation tensor-train decomposition hyper-reduction empirical cubature randomised SVD machine learning inverse problem plasticity proper symplectic decomposition (PSD) finite deformation Hamiltonian system DEIM GNAT |
| ISBN | 3-03921-410-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367759403321 |
Fritzen Felix
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Numerical and Evolutionary Optimization 2020
| Numerical and Evolutionary Optimization 2020 |
| Autore | Quiroz Marcela |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (364 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
robust optimization
differential evolution ROOT optimization framework drainage rehabilitation overflooding pipe breaking VCO CMOS differential pair PVT variations Monte Carlo analysis multi-objective optimization Pareto Tracer continuation constraint handling surrogate modeling multiobjective optimization evolutionary algorithms kriging method ensemble method adaptive algorithm liquid storage tanks base excitation artificial intelligence Multi-Gene Genetic Programming computational fluid dynamics finite volume method JSSP CMOSA CMOTA chaotic perturbation fixed point arithmetic FP16 pseudo random number generator incorporation of preferences multi-criteria classification decision-making process multi-objective evolutionary optimization outranking relationships decision maker profile profile assessment region of interest approximation optimization using preferences hybrid evolutionary approach forecasting Convolutional Neural Network LSTM COVID-19 deep learning trust region methods multiobjective descent derivative-free optimization radial basis functions fully linear models decision making process cognitive tasks recommender system project portfolio selection problem usability evaluation multi-objective portfolio optimization problem trapezoidal fuzzy numbers density estimators steady state algorithms protein structure prediction Hybrid Simulated Annealing Template-Based Modeling structural biology Metropolis optimization linear programming energy central |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557631003321 |
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Quiroz Marcela
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wildfire Hazard and Risk Assessment
| Wildfire Hazard and Risk Assessment |
| Autore | Meldrum James R |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (222 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
| Soggetto non controllato |
wildfire risk
object-oriented image analysis Sentinel-2 fire behavior flammap wildfire management water supply erosion wildfire containment Potential fire Operational Delineations Monte Carlo simulation transmission risk WUI fire defensible space prescribed fire community vulnerability fire suppression costs Zillow wildfire predictive modeling fire spread model Monte Carlo spatial modeling area difference index statistics precision recall principal components analysis risk assessment structure loss wildland–urban interface mitigation mapping land use disaster fire spread models surrogate modeling sensitivity analysis global sensitivity analysis colour coding communication forest fire ordinal categorization palette risk firefighter safety safe separation distance safety zones LCES Google Earth Engine lidar LANDFIRE Landsat GEDI parcel-level risk post-fire analysis risk mitigation rapid assessment natural hazards fuels fire hazard remote sensing LiDAR Sentinel modeling simulation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566472703321 |
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Meldrum James R
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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