Yinyu Ye

In mathematical optimization, Yinyu Ye is a specialist in interior point methods, especially convex minimization and in linear programming. Ye is a professor of management science at Stanford University.

Contents

Research publications

Ye wrote Interior-Point Algorithms: Theory and Analysis. He joined David Luenberger for the third edition of Luenberger's Linear and Nonlinear Programming.[1]

In recent years, Ye has developed computational methods and theory using semidefinite programming for practical problems like the location of network sensors. In computational economics, Ye has also established new complexity results for problems concerning the computation of an economic equilibrium.[2]

Awards

Ye was a 2009 co-recipient of the John von Neumann Theory Prize.[3]

Positions

At Stanford University, Ye is professor of Management Science and Engineering and, by courtesy, Electrical Engineering. Previously, Ye was a Henry B. Tippie Research Professor at the University of Iowa.

Ye earned his Ph.D. at Stanford University under the supervison of George B. Dantzig.

References

  1. ^ Luenberger, David G.; Ye, Yinyu (2008). Linear and nonlinear programming. International Series in Operations Research & Management Science. 116 (Third ed.). New York: Springer. pp. xiv+546. ISBN 978-0-387-74502-2.  MR2423726
  2. ^ http://www.informs.org/Recognize-Excellence/INFORMS-Prizes-Awards/John-von-Neumann-Theory-Prize
  3. ^ http://www.informs.org/Recognize-Excellence/INFORMS-Prizes-Awards/John-von-Neumann-Theory-Prize