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Optimization and supervised machine learning methods for fitting numerical physics models without derivatives <sup>*</sup>
Research article (Journal of Physics G Nuclear and Particle Physics, 2020) · cited 13× · AI/ML
Optimization and supervised machine learning methods for fitting numerical physics models without derivatives *
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Optimization and supervised machine learning methods for fitting numerical physics models without derivatives * is a scholarly article[1].
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Optimization and supervised machine learning methods for fitting numerical physics models without derivatives *'s instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Optimization and supervised machine learning methods for fitting numerical physics models without derivatives <sup>*</sup>. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimization-and-supervised-machine-learning-methods-for-fitting-numerical-physics-models-without-derivatives-sup-sup
MLA“Optimization and supervised machine learning methods for fitting numerical physics models without derivatives <sup>*</sup>.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimization-and-supervised-machine-learning-methods-for-fitting-numerical-physics-models-without-derivatives-sup-sup.
BibTeX@misc{4ortxyz_optimization-and-supervised-machine-learning-methods-for-fitting-numerical-physics-models-without-derivatives-sup-sup_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimization and supervised machine learning methods for fitting numerical physics models without derivatives <sup>*</sup>}}, year = {2026}, url = {https://4ort.xyz/entity/optimization-and-supervised-machine-learning-methods-for-fitting-numerical-physics-models-without-derivatives-sup-sup}, note = {Accessed: 2026-05-24}}
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