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Saves et al., 2024 - Google Patents

SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes

Saves et al., 2024

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Document ID
4494223899993230829
Author
Saves P
Lafage R
Bartoli N
Diouane Y
Bussemaker J
Lefebvre T
Hwang J
Morlier J
Martins J
Publication year
Publication venue
Advances in Engineering Software

External Links

Snippet

Abstract The Surrogate Modeling Toolbox (SMT) is an open-source Python package that offers a collection of surrogate modeling methods, sampling techniques, and a set of sample problems. This paper presents SMT 2.0, a major new release of SMT that introduces …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F19/708—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for data visualisation, e.g. molecular structure representations, graphics generation, display of maps or networks or other visual representations
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