自适应高斯搜索:一种新颖的非线性最小化技术[总统奖程序]

Nihon Jiki Kyōmei Igakkai zasshi Pub Date : 2023-05-15 DOI:10.2463/jjmrm.2022-1775

Koichi OSHIO

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引用次数: 0

摘要

提出了一种新的最小化技术。该方法基于参数空间的高斯随机搜索，可以在合理的时间内处理包括双指数曲线拟合在内的各种问题。它只使用函数值，不需要梯度。

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Adaptive Gaussian Search : A Novel Non-linear Minimization Technique [Presidential Award Proceedings]

A novel minimization technique was developed. The proposed method is based on a Gaussian random search in the parameter space and it can handle a wide range of problems, including bi-exponential curve fitting, in a reasonable time. It uses only function values, and does not require gradients.

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Nihon Jiki Kyōmei Igakkai zasshi

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