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Applied Mathematics and Computational Physics
| Applied Mathematics and Computational Physics |
| Autore | Wood Aihua |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (273 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
radial basis functions
finite difference methods traveling waves non-uniform grids chaotic oscillator one-step method multi-step method computer arithmetic FPGA high strain rate impact modeling and simulation smoothed particle hydrodynamics finite element analysis hybrid nanofluid heat transfer non-isothermal shrinking surface MHD radiation multilayer perceptrons quaternion neural networks metaheuristic optimization genetic algorithms micropolar fluid constricted channel MHD pulsatile flow strouhal number flow pulsation parameter multiple integral finite volume method finite difference method Rosenau-KdV conservation solvability convergence transmission electron microscopy (TEM) convolutional neural networks (CNN) anomaly detection principal component analysis (PCA) machine learning deep learning neural networks Gallium-Arsenide (GaAs) radiation-based flowmeter two-phase flow feature extraction artificial intelligence time domain Boltzmann equation collision integral convolutional neural network annular regime scale layer-independent petroleum pipeline volume fraction dual energy technique prescribed heat flux similarity solutions dual solutions stability analysis RBF-FD node sampling lebesgue constant complex regions finite-difference methods data assimilation model order reduction finite elements analysis high dimensional data welding |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557337303321 |
Wood Aihua
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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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Evolutionary Algorithms in Engineering Design Optimization
| Evolutionary Algorithms in Engineering Design Optimization |
| Autore | Greiner David |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
Automatic Voltage Regulation system
Chaotic optimization Fractional Order Proportional-Integral-Derivative controller Yellow Saddle Goatfish Algorithm two-stage method mono and multi-objective optimization multi-objective optimization optimal design Gough–Stewart parallel manipulator performance metrics diversity control genetic algorithm bankruptcy problem classification T-junctions neural networks finite elements analysis surrogate beam improvements beam T-junctions models artificial neural networks (ANN) limited training data multi-objective decision-making Pareto front preference in multi-objective optimization aeroacoustics trailing-edge noise global optimization evolutionary algorithms nearly optimal solutions archiving strategy evolutionary algorithm non-linear parametric identification multi-objective evolutionary algorithms availability design preventive maintenance scheduling encoding accuracy levels plastics thermoforming sheet thickness distribution evolutionary optimization genetic programming control differential evolution reusable launch vehicle quality control roughness measurement machine vision machine learning parameter optimization distance-based mutation-selection real application experimental study global optimisation worst-case scenario robust min-max optimization optimal control multi-objective optimisation robust design trajectory optimisation uncertainty quantification unscented transformation spaceplanes space systems launchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486903321 |
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Greiner David
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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