"Surrogate modeling is a technique that involves creating simplified mathematical models, or surrogates, to represent complex and computationally intensive systems and find the best possible solution to a given problem. In mechanical and aerospace engineering, surrogate modeling and optimization are used to efficiently design and analyze complex systems, like aircraft wings or car structures. By using surrogates, engineers can explore a wide range of design variables and identify optimal solutions without the need for time ...
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"Surrogate modeling is a technique that involves creating simplified mathematical models, or surrogates, to represent complex and computationally intensive systems and find the best possible solution to a given problem. In mechanical and aerospace engineering, surrogate modeling and optimization are used to efficiently design and analyze complex systems, like aircraft wings or car structures. By using surrogates, engineers can explore a wide range of design variables and identify optimal solutions without the need for time-consuming simulations, thus accelerating the design process. Surrogate modeling is closely related to machine learning, as it often involves using machine learning techniques to create and utilize surrogate models. In surrogate modeling, machine learning algorithms are employed to learn the relationship between input variables and output responses of a complex system, based on a set of training data"-- Provided by publisher.
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