Robert James Plemmons (born December 18, 1938) is an American mathematician specializing in computational mathematics.[1] He is the emeritus Z. Smith Reynolds Professor of Mathematics and Computer Science at Wake Forest University.[2] In 1979, Plemmons co-authored the book Nonnegative Matrices in the Mathematical Sciences.[3]
Education and life
Plemmons was born in 1938 in the small town of Old Fort, North Carolina, and grew up in rural Appalachia.[1] He attended Old Fort High School and graduated in 1957, having been the star athlete in both baseball and football.[4]
He attended Wake Forest University (WFU) on a full baseball scholarship.[5] Former athletic director Gene Hooks was his baseball coach.[6] In 1959, he held the record for earned run average.[7] During the years 1959–61, he held the record for victories, innings pitched, strikeouts, and complete games, and made All-Conference Pitcher all three years.[7] In the academic year 1960–61, he was awarded the WFU ACC Scholar-Athlete of the Year.[8][9] Plemmons graduated from Wake Forest in 1961 with a Bachelor of Science Degree in Mathematics.[1]
In the mid-to-late 1980s until mid 1990s, his research focused on numerical linear algebra,[24][25][26] specifically in Matrix Theory with applications in Markov chains and nonnegative matrices.[27][28] Plemmons has been recognized internationally for his significant contributions to the field, celebrated at the Linear Algebra: Theory, Applications, and Computations Conference held at Wake Forest University in 1999 in honor of Plemmons' 60th birthday,[1] and the International Workshop on Numerical Linear Algebra with Applications held in Hong Kong in 2013 in honor of his 75th birthday.[29]
Plemmons has been conducting research in imaging physics and applied optics at Wake Forest since the late 1990s.[1][30] He focused initially in biometrics, including iris recognition.[31][32][33] His current research is in space situational awareness, tracking space debris using optical methods to prevent damage to space assets.[30]
Nonnegative Matrices in the Mathematical Sciences (1979), Academic Press, ISBN1483260860[3]
Large scale matrix problems (1981), together with Åke Björck and Hans Schneider, North Holland, ISBN0444005633[38]
Scientific Computing: Proceedings of the Workshop, 1997, Hong Kong (1997), edited with Gene H. Golub, Lui Shui-Hong, and T. Luk Franklin, Springer Science and Business Media, ISBN9813083603[39]
Linear Algebra, Markov Chains, and Queueing Models (2012), edited with Carl D. Meyer, Springer Science and Business Media, ISBN146138351X[40]
^Plemmons, R. J. (1967). "On computing non-equivalent finite algebraic systems". Math. Algebra. 2: 80–84.
^Harrod, W.; Plemmons, R. J. (1984). "Comparison of some direct methods for computing stationary distributions of Markov chains". SIAM J. Sci. Stat. Comput. 5 (2): 453–469. doi:10.1137/0905033.
^Berman, Abraham; Plemmons, Robert J. (1994). Nonnegative Matrices in the Mathematical Sciences. Society for Industrial and Applied Mathematics. doi:10.1137/1.9781611971262. ISBN9780898713213.
^Bultheel, A.; Cools, R.; Chen, D.; Plemmons, P. (2010). "Nonnegativity constraints in numerical analysis". The Birth of Numerical Analysis, Volume 10. World Scientific. pp. 109–140. ISBN978-9812836250.
^Henkel, C.S.; Plemmons, R.J. (1991). "Parallel recursive least squares on a hypercube multiprocessor, in: Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms". NATO ASI Series. Ser. F 70: 571–577.
^Berry, M.W.; Plemmons, R.J. (1985). "Computing a banded basis of the null space on the Denelcor HEP multiprocessor, in: Proceedings of the AMS/SIAM Conference on the Role of Linear Algebra in Systems Theory, Bowdoin, ME, USA". Contemporary Mathematics. 47: 7–23. doi:10.1090/conm/047/02.
^ abStock-Windsor, Christina (March 1997). "A Clear View of Forever". Wake Forest Magazine. March 1997: 19–23.
^Jillela, R.; Ross, A.; Boddeti, N.; Vijaya Kumar, B.; Hu, X.; Plemmons, R.J.; Pauca, P. (2016). "Chapter 13: Iris Segmentation for Challenging Periocular Images". In Bowyer, K; Burge, M. (eds.). Handbook of Iris Recognition. Springer. pp. 281–308. ISBN978-1447167846.
^Gracht, Joseph van der; Pauca, V. Paul; Setty, Harsha; Narayanswamy, Ramkumar; Plemmons, Robert; Prasad, Sudhakar; Torgersen, Todd (July 15, 2004). "Iris recognition with enhanced depth-of-field image acquistion". In Rahman, Zia-ur; Schowengerdt, Robert A.; Reichenbach, Stephen E. (eds.). Iris recognition with enhanced depth-of-field image acquistion [sic]. Visual Information Processing XIII. Vol. 5438. pp. 120–129. doi:10.1117/12.542151. S2CID2552897.
^Hu, X.; Pauca, P.; Plemmons, R.J. (2011). "Iterative Directional Ray-Based Iris Segmentation for Challenging Periocular Images". Biometric Recognition. Lecture Notes in Computer Science. Vol. LNCS7098. pp. 91–99. doi:10.1007/978-3-642-25449-9_12. ISBN978-3-642-25448-2.
^ ab"What Does the Government Get For Its Investment in Basic Research?". SIAM News. 1996.
^ abUnited States. Cong. House. Subcommittee on National Security. Committee on Appropriations. Testimony on FY 1997 Appropriations for the Department of Defense. May 1, 1996. Chaired by the Hon. C.W. Bill Young. 104th Cong. 2nd sess. Washington: GPO, 1996 (statement of Robert J. Plemmons, Wake Forest University Professor, Representative of the Joint Policy Board for Mathematics).