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Solving Computationally Expensive Engineering Problems Methods and Applications /
Computational complexity is a serious bottleneck for the design process in virtually any engineering area. While migration from prototyping and experimental-based design validation to verification using computer simulation models is inevitable and has a number of advantages, high computational costs...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Edición: | 1st ed. 2014. |
| Colección: | Springer Proceedings in Mathematics & Statistics,
97 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Surrogate-based and One-shot Optimization Methods for PDE-constrained Problems with an Application in Climate Models
- Shape-Preserving Response Prediction for Surrogate Modeling and Engineering Design Optimization
- Nested Space Mapping Technique for Design and Optimization of Complex Microwave Structures with Enhanced Functionality
- Automated Low-Fidelity Model Setup for Surrogate-Based Aerodynamic Optimization
- Design Space Reduction for Expedited Multi-Objective Design Optimization of Antennas in Highly-Dimensional Spaces
- Numerically Efficient Approach to Simulation Driven Design of Planar Microstrip Antenna Arrays By Means of Surrogate-Based Optimization
- Optimal Design of Computationally Expensive EM-Based Systems: A Surrogate-Based Approach
- Atomistic Surrogate-Based Optimization for Simulation-Driven Design of Computationally Expensive Microwave Circuits with Compact Footprints
- Knowledge Based 3-Step Modeling Strategy Exploiting Artificial Neural Network
- Large-Scale Global Optimization via Swarm Intelligence
- Evolutionary Clustering for Synthetic Aperture Radar Images
- Automated Classification of Airborne Laser Scanning Point Clouds
- A Novel Approach to the Common Due-Date Problem on Single and Parallel Machines
- On Gaussian Processes for NARX Modelling and Their Associated Higher-order Frequency Response Functions.