{"title":"The Infinity Computer for Optimization and Not Only","authors":"Y. Sergeyev","doi":"10.1109/ds-rt47707.2019.8958681","DOIUrl":null,"url":null,"abstract":"In this lecture, a recent computational methodology is described. It has been introduced with the intention to allow one to work with infinities and infinitesimals numerically in a unique computational framework. It is based on the principle ‘The part is less than the whole’ applied to all quantities (finite, infinite, and infinitesimal) and to all sets and processes (finite and infinite). The methodology uses as a computational device the Infinity Computer (patented in USA and EU) working numerically with infinite and infinitesimal numbers that can be written in a positional system with an infinite radix. On a number of examples (numerical differentiation, divergent series, ordinary differential equations, fractals, set theory, etc.) it is shown that the new approach can be useful from both theoretical and computational points of view. The main attention is dedicated to applications in optimization (local, global, and multi-objective). The accuracy of the obtained results is continuously compared with results obtained by traditional tools used to work with mathematical objects involving infinity. The Infinity Calculator working with infinities and infinitesimals numerically is shown during the lecture. For more information see http://www.theinfinitycomputer.com and this survey: Sergeyev Ya.D. Numerical infinities and infinitesimals: Methodology, applications, and repercussions on two Hilbert problems, EMS Surveys in Mathematical Sciences, 2017, 4(2), 219–320. For more information see http://www.theinfinitycomputer.com and this survey: Sergeyev Ya.D. Numerical infinities and infinitesimals: Methodology, applications, and repercussions on two Hilbert problems, EMS Surveys in Mathematical Sciences, 2017, 4(2), 219–320.","PeriodicalId":377914,"journal":{"name":"2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"7 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ds-rt47707.2019.8958681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

In this lecture, a recent computational methodology is described. It has been introduced with the intention to allow one to work with infinities and infinitesimals numerically in a unique computational framework. It is based on the principle ‘The part is less than the whole’ applied to all quantities (finite, infinite, and infinitesimal) and to all sets and processes (finite and infinite). The methodology uses as a computational device the Infinity Computer (patented in USA and EU) working numerically with infinite and infinitesimal numbers that can be written in a positional system with an infinite radix. On a number of examples (numerical differentiation, divergent series, ordinary differential equations, fractals, set theory, etc.) it is shown that the new approach can be useful from both theoretical and computational points of view. The main attention is dedicated to applications in optimization (local, global, and multi-objective). The accuracy of the obtained results is continuously compared with results obtained by traditional tools used to work with mathematical objects involving infinity. The Infinity Calculator working with infinities and infinitesimals numerically is shown during the lecture. For more information see http://www.theinfinitycomputer.com and this survey: Sergeyev Ya.D. Numerical infinities and infinitesimals: Methodology, applications, and repercussions on two Hilbert problems, EMS Surveys in Mathematical Sciences, 2017, 4(2), 219–320. For more information see http://www.theinfinitycomputer.com and this survey: Sergeyev Ya.D. Numerical infinities and infinitesimals: Methodology, applications, and repercussions on two Hilbert problems, EMS Surveys in Mathematical Sciences, 2017, 4(2), 219–320.
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无限计算机的优化和不只是
在这个讲座中,描述了一种最新的计算方法。它被引入的目的是允许人们在一个独特的计算框架中处理无穷大和无穷小的数值。它基于“部分小于整体”的原则,适用于所有的量(有限的、无限的和无穷小的),适用于所有的集合和过程(有限的和无限的)。该方法使用无限计算机(在美国和欧盟获得专利)作为计算设备,对无限和无限小的数字进行数值处理,这些数字可以用无限基数的位置系统来书写。通过数值微分、发散级数、常微分方程、分形、集合论等实例,证明了该方法在理论和计算上的实用性。主要关注在优化(局部、全局和多目标)方面的应用。所得到的结果的准确性不断地与用于处理涉及无穷大的数学对象的传统工具所得到的结果进行比较。无限计算器将在讲座中展示如何处理无穷和无穷小的数值。欲了解更多信息,请访问http://www.theinfinitycomputer.com和此调查:Sergeyev yad。数值无穷大与无穷小:两个Hilbert问题的方法论、应用及其影响,数学科学EMS调查,2017,4(2),219-320。欲了解更多信息,请访问http://www.theinfinitycomputer.com和此调查:Sergeyev yad。数值无穷大与无穷小:两个Hilbert问题的方法论、应用及其影响,数学科学EMS调查,2017,4(2),219-320。
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