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Grid Enabled Surrogate Modeling [PDF]
The simulation and optimization of complex systems is a very time consuming and computationally intensive task. Therefore, global surrogate modeling methods are often used for the efficient exploration of the design space, as they reduce the number of simulations needed.
Gorissen, Dirk +3 more
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Dynamical model of surrogate reactions [PDF]
17 pages, 5 ...
Y. Aritomo, S. Chiba, K. Nishio
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Classical Surrogates for Quantum Learning Models
The advent of noisy intermediate-scale quantum computers has put the search for possible applications to the forefront of quantum information science. One area where hopes for an advantage through near-term quantum computers are high is quantum machine learning, where variational quantum learning models based on parametrized quantum circuits are ...
Franz J. Schreiber +2 more
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Kernel Methods for Surrogate Modeling
This chapter deals with kernel methods as a special class of techniques for surrogate modeling. Kernel methods have proven to be efficient in machine learning, pattern recognition and signal analysis due to their flexibility, excellent experimental performance and elegant functional analytic background.
Santin G., Haasdonk B.
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Response surface methodology using a prior knowledge and its application to pin fin heat sink design
Large number of simulations or experiments is needed for optimization and uncertainty quantification of a mechanical system. Therefore, if simulations or experiments are numerically expensive and time consuming, it is difficult to execute optimization ...
Kazuo MUTO, Makoto ONODERA
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GTApprox: Surrogate modeling for industrial design [PDF]
31 pages, 11 ...
Mikhail Belyaev +6 more
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Integrated optimization of well placement and hydraulic fracture parameters in naturally fractured shale gas reservoirs is of significance to enhance unconventional hydrocarbon energy resources in the oil and gas industry.
Jun Zhou +3 more
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Additive manufacturing enables the fabrication of parts with complex geometries, thereby opening up the design space from part scale to microarchitecture scale.
Guo Yilin +2 more
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To find the optimal design for an engineering object, thousands of (or even more) simulations should be implemented to obtain the outcome data for the variously designed objects.
Sahuck Oh
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On the use of gradients in Kriging surrogate models [PDF]
The use of Kriging surrogate models has become popular in approximating computation-intensive deterministic computer models. In this work, the effect of enhancing Kriging surrogate models with a (partial) set of gradients is investigated. While, intuitively, gradient information is useful to enhance prediction accuracy, another motivation behind this ...
Selvakumar Ulaganathan +4 more
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