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

Koichi OSHIO
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Abstract

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.
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]
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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