# Bailey Co-Organizes Math Course

January 1, 2006

David H. Bailey, the Chief Technologist of the Computational Research Division, co-organized a two-day course entitled “Experimental Mathematics in Action” at the annual joint meeting of the American Mathematical Society and the Mathematical Association of America. The meeting was held January 10-15 in San Antonio, Texas.

Approximately 80 people signed up for the course, which was organized in the spirit of the two recent books by Bailey and Jonathan Borwein, Mathematics by Experiment: Plausible Reasoning in the 21st Century (2004) and Experimentation in Mathematics: Computational Paths to Discovery (2004), the latter with Roland Girgensohn.

Although the texts served as a good primer for the course, the specific topic lectures in the course were primarily new material. Bailey gave two 90-minute lectures focusing on algorithms for experimental mathematics and on case studies of using high performance computing technology in mathematical research.

The goal of this course was to present a coherent variety of accessible examples of modern mathematics where intelligent computing plays a significant role and in doing so to highlight some of the key algorithms and to teach some of the key experimental approaches.

“The last twenty years have been witness to a fundamental shift in the way mathematics is practiced,” according to the course abstract. “With the continued advance of computing power and accessibility, the view that ‘real mathematicians don’t compute’ no longer has any traction for a newer generation of mathematicians who can readily take advantage of computer aided research, especially given the maturity of modern computational packages such as Maple, Mathematica and Matlab.”

Bailey and the other four speakers in the course prepared written material to accompany the lectures and which will be published later this year as a book.

**About Computing Sciences at Berkeley Lab**

The

**Lawrence Berkeley National Laboratory**(Berkeley Lab)

**Computing Sciences**organization provides the computing and networking resources and expertise critical to advancing the Department of Energy's research missions: developing new energy sources, improving energy efficiency, developing new materials and increasing our understanding of ourselves, our world and our universe.

ESnet, the

**Energy Sciences Network**, provides the high-bandwidth, reliable connections that link scientists at 40 DOE research sites to each other and to experimental facilities and supercomputing centers around the country. The

**National Energy Research Scientific Computing Center**(NERSC) powers the discoveries of 6,000 scientists at national laboratories and universities, including those at Berkeley Lab's Computational Research Division (CRD). CRD conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture and high-performance software implementation. NERSC and ESnet are DOE Office of Science User Facilities.

Lawrence Berkeley National Laboratory addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the DOE’s Office of Science.

**DOE’s Office of Science** is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.