Willard L. Miranker (March 8, 1932 – April 28, 2011) was an American mathematician and computer scientist, known for his contributions to applied mathematics and numerical mathematics.[1]

Raised in Brooklyn, New York, he earned Bachelor of Arts (1952), Master of Science (1953) and Ph.D. (1956) from the Courant Institute at New York University, the latter on the thesis The Asymptotic Theory of Solutions of U + (K2)U = 0 advised by Joseph Keller. He then worked for the mathematics department at Bell Labs (1956–1958) before joining IBM Research (1961). After retirement from IBM, he joined the computer science faculty at Yale University (1989) as research faculty.

He also held professor affiliations at California Institute of Technology (1963), Hebrew University of Jerusalem (1968), Yale University (1973), University of Paris-Sud (1974), City University of New York (1966–1967) and New York University (1970–1973).

Miranker's work[2] includes articles and books on stiff differential equations,[3] interval arithmetic,[4] analog computing, and neural networks and the modeling of consciousness.

Miranker was also an accomplished and prolific painter. Over the course of his life, Willard Miranker painted ~4000 watercolors/aquarelles and ~200 oil paintings, many of which are displayed online. He exhibited internationally in New York City, Paris and Bonn.[5]

Awards

References

  1. ↑ "Willard L. Miranker". Findagrave. Retrieved 2015-09-21.
  2. ↑ Willard L. Miranker, 60 years, Computing 48:1-3, 1992 fulltext
  3. ↑ Miranker, Willard L., Numerical Methods for Stiff Equations And Singular Perturbation Problems, D. Reidel Publishing Co., Dordrecht-Boston, Mass., 1981. ISBN 90-277-1107-0
  4. ↑ Kulisch, Ulrich W.; Miranker, Willard L. (1981). Rheinboldt, Werner (ed.). Computer arithmetic in theory and practice. Computer Science and Applied Mathematics (1 ed.). New York, USA: Academic Press, Inc. ISBN 978-0-12-428650-4.
  5. ↑ The Guide from New York Times (August 29, 1993).


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.