@inproceedings{a8184a07ac0447cc9ebdbd8b4e8faedf,
title = "Oil fields, hedge funds, and drugs",
abstract = "Statistical analysis is a fundamental method in analysis, design, and optimization of large systems with uncertainties. It is being applied in drug development, analyzing financial markets, search for new oil fields, and many more areas. As the silicon process technology scales to its limits, uncertainty plays an increasing role and has made its way into tools such as yield analysis, statistical time analysis, etc. In this educational panel, we will start with a short tutorial on Monte Carlo methods including their use in EDA. Three experts from distinct application fields will then follow and discuss their experience in using Monte Carlo methods for solving large-scale problems in their domain. It may come as a surprise to some attendees of DAC to learn how much commonality there is between methods used in EDA and other field that seem far-fetched.",
keywords = "Drug discovery, Financial market analysis, Monte Carlo methods, Oil field discovery",
author = "Patrick Groeneveld and Rutenbar, {Rob A.} and Erik Carlson and Jed Pitera and Chen Jinsong",
year = "2009",
doi = "10.1145/1629911.1630021",
language = "English (US)",
isbn = "9781605584973",
series = "Proceedings - Design Automation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "416--417",
booktitle = "2009 46th ACM/IEEE Design Automation Conference, DAC 2009",
address = "United States",
note = "2009 46th ACM/IEEE Design Automation Conference, DAC 2009 ; Conference date: 26-07-2009 Through 31-07-2009",
}