David M. Young, Jr.
Personal Profile

David M. Young's career paralleled the first fifty-years of the modern scientific computing era. He obtained a B.S. degree from the Webb Institute of Naval Architecture in 1944. Following service in the U.S. Navy, he went to Harvard University to study Mathematics. He was awared a M.A. in 1947 and a Ph.D. in 1950, working under the direction of Professor Garrett Birkhoff. David Young's Ph.D. research established the mathematical framework for the Successive OverRelaxation (SOR) method. His Ph.D. thesis is of historical importance and a re-typed version of it is available online. ( pdf version, postscript version, original thesis pdf version)

In 1954, Professor Young began his academic career in the Mathematics Department at the University of Maryland, College Park, where he was the first to teach a numerical analysis course forcusing on computer programming. For several years, Young worked in industry in Los Angeles as the Manager of the Mathematical Analysis Department at Ramo-Woolridge Corp. In 1958, he became a Professor of Mathematics at The University of Texas in Austin, Texas. Dr. Young established the university Computation Center and was its director until 1970 when he became the founding director of the research Center for Numerical Analysis until he retired in 1999, Professor David M. Young was an Ashbel Smith Professor in the Department of Mathematics and the Department of Computer Sciences as well as a founding member of the Institute of Computational Engineering and Sciences (ICES). For most of his life, this forever young professor was active in mathematics (doing research, teaching, and traveling to speak at conferences worldwide) as well as having a passion for playing tennis!


Honors, Awards, and Professional Service:

Summary of Research:
Dr. Young areas of research interest were numerical analysis, partial differential equations, and numerical linear algebra. His research activity focused on the numerical solution of partial differential equations based on the use of finite difference methods. In particular, he focused on the use of iterative methods for solving large and sparse systems of linear algebraic equations. As part of the ITPACK project, several computer software packages were developed for use on high performance supercomputers that were based on his research in adaptive iterative algorithms and preconditioners.
[Home] [Ph.D.] [Profile] [Books] [Publications] [Students] [Courses] [Links]

1 August 2009