Level: Advanced
Powerful computers often use brute-force algorithms to brute-force difficult problems, such as finding a suitable design space—a rectangular region of factors such that the response variable lies within specification limits or satisfies complex nonlinear constraints.
Another difficult problem is hierarchical cluster analysis of large-scale data in genome research. Hierarchical cluster analysis of large-scale data takes a lot of time to calculate. In these two examples, rather than brute-force solving using brute-force algorithms alone, the calculation time can be reduced by combining them with delicate and careful methods.
*The JMP features introduced in this presentation are scheduled to be added in future version upgrades.
John Sall is co-founder and executive vice president of SAS Institute Inc., the world's leading business analytics software vendor. He is the creator and current head of the JMP business, the interactive, highly visible statistical exploration software for scientists and engineers.
Sall is also a fellow of the American Statistical Association and the American Association for the Advancement of Science (AAAS), one of the world's largest academic societies.
Additionally, his strong interest in international environmental conservation has led him to serve on the board of directors of the World Wildlife Fund (WWF), on the Natural History Advisory Committee of the Smithsonian Institution's National Museum of Natural History, and on the Board of Trustees of North Carolina State University.
*Dubbed in Japanese.
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