Level: Advanced
【Presenter】
John Sall, Co-Founder and Executive Vice President, SAS Institute Inc.
[Announcement summary]
You may try to forcefully solve a difficult problem using a brute force algorithm on a high-performance computer. A difficult problem is finding the right design area (design space), for example. That is, you may find a rectangular region of the factor whose response variables are within specification limits or whose response variables satisfy complex nonlinear constraints.
Another difficult problem is hierarchical cluster analysis of large-scale data in genomic research. Hierarchical cluster analysis for large amounts of data was computationally time consuming. In these two examples, the calculation time can be reduced by combining with a delicate and careful method, instead of forcibly solving with a brute force algorithm.
* The JMP functions introduced in this lecture will be added in future version upgrades.
[Presenter Profile]
John Sall is a co-founder and executive vice president of SAS Institute Inc., a world-leading business analytics software vendor, with interactive, highly visible statistics developed for scientists and engineers. He is the developer of the search software "JMP" and still leads the business of JMP.
Sall is also a Fellow (Research Fellow) of the American Statistical Association and the American Association for the Advancement of Science (AAAS), one of the world's largest academic societies.
In addition, due to his keen interest in protecting the international natural environment, he is an officer of the World Wildlife Fund (WWF) and a member of the Smithsonian National Museum of Natural History's Natural History Advisory Board. He also served on the Board of Trustees of North Carolina State University.
* Japanese voice dubbed.
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