{"title":"si - mosfet模拟的迭代局部蒙特卡罗技术","authors":"J. Jakumeit, T. Sontowski, Umberto Ravaioli","doi":"10.1109/IWCE.1998.742718","DOIUrl":null,"url":null,"abstract":"The authors have formulated the mutation operator Monte Carlo method (MOMC) and tested this approach both in the context of evolutionary algorithm optimization and as a stand done transport simulator. They investigate the features of this transport operator in detail, showing that the MOMC is a local Monte Carlo technique which combines features and advantages of the Monte Carlo approach with the stability of iterative algorithms.","PeriodicalId":357304,"journal":{"name":"1998 Sixth International Workshop on Computational Electronics. Extended Abstracts (Cat. No.98EX116)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Iterative local Monte Carlo technique for the simulation of Si-MOSFETs\",\"authors\":\"J. Jakumeit, T. Sontowski, Umberto Ravaioli\",\"doi\":\"10.1109/IWCE.1998.742718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors have formulated the mutation operator Monte Carlo method (MOMC) and tested this approach both in the context of evolutionary algorithm optimization and as a stand done transport simulator. They investigate the features of this transport operator in detail, showing that the MOMC is a local Monte Carlo technique which combines features and advantages of the Monte Carlo approach with the stability of iterative algorithms.\",\"PeriodicalId\":357304,\"journal\":{\"name\":\"1998 Sixth International Workshop on Computational Electronics. Extended Abstracts (Cat. No.98EX116)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 Sixth International Workshop on Computational Electronics. Extended Abstracts (Cat. No.98EX116)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWCE.1998.742718\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 Sixth International Workshop on Computational Electronics. Extended Abstracts (Cat. No.98EX116)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWCE.1998.742718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Iterative local Monte Carlo technique for the simulation of Si-MOSFETs
The authors have formulated the mutation operator Monte Carlo method (MOMC) and tested this approach both in the context of evolutionary algorithm optimization and as a stand done transport simulator. They investigate the features of this transport operator in detail, showing that the MOMC is a local Monte Carlo technique which combines features and advantages of the Monte Carlo approach with the stability of iterative algorithms.