{"title":"Adaptive Gaussian Search : A Novel Non-linear Minimization Technique [Presidential Award Proceedings]","authors":"Koichi OSHIO","doi":"10.2463/jjmrm.2022-1775","DOIUrl":null,"url":null,"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.","PeriodicalId":471579,"journal":{"name":"Nihon Jiki Kyōmei Igakkai zasshi","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nihon Jiki Kyōmei Igakkai zasshi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2463/jjmrm.2022-1775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.
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