通过计算最大不稳定性粗略预测振荡

Contemporary Materials Pub Date : 2021-01-10 DOI:10.7251/comen2201111r

Z. Rajilić, D. Malivuk Gak

{"title":"通过计算最大不稳定性粗略预测振荡","authors":"Z. Rajilić, D. Malivuk Gak","doi":"10.7251/comen2201111r","DOIUrl":null,"url":null,"abstract":"We use Newton’s second law of motion assuming combination chaos with stochasticity. For a measured time series, one can compute appropriate force and then better understand and roughly predict the behavior of the observed complex system. The force parameter describing instability is of the highest importance. We consider some mechanical experiments and the average global temperature.","PeriodicalId":10617,"journal":{"name":"Contemporary Materials","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ROUGH PREDICTION OF OSCILLATIONS BY COMPUTING MAXIMAL INSTABILITY\",\"authors\":\"Z. Rajilić, D. Malivuk Gak\",\"doi\":\"10.7251/comen2201111r\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We use Newton’s second law of motion assuming combination chaos with stochasticity. For a measured time series, one can compute appropriate force and then better understand and roughly predict the behavior of the observed complex system. The force parameter describing instability is of the highest importance. We consider some mechanical experiments and the average global temperature.\",\"PeriodicalId\":10617,\"journal\":{\"name\":\"Contemporary Materials\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Contemporary Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7251/comen2201111r\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Contemporary Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7251/comen2201111r","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

我们用牛顿第二运动定律假设混沌与随机的组合。对于测量的时间序列，可以计算出适当的力，从而更好地理解和粗略地预测所观察到的复杂系统的行为。描述不稳定性的力参数是最重要的。我们考虑了一些力学实验和全球平均温度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

ROUGH PREDICTION OF OSCILLATIONS BY COMPUTING MAXIMAL INSTABILITY

We use Newton’s second law of motion assuming combination chaos with stochasticity. For a measured time series, one can compute appropriate force and then better understand and roughly predict the behavior of the observed complex system. The force parameter describing instability is of the highest importance. We consider some mechanical experiments and the average global temperature.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Contemporary Materials

自引率

0.00%

发文量