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A derivative-free two level random search method for unconstrained optimization
The book is intended for graduate students and researchers in mathematics, computer science, and operational research. The book presents a new derivative-free optimization method/algorithm based on randomly generated trial points in specified domains and where the best ones are selected at each iter...
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| Lenguaje: | eng |
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Springer
2021
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-68517-1 http://cds.cern.ch/record/2763333 |