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 localization of network sensors. In computational economics, Ye has also established new complexity results for problems concerning the computation of an economic equilibrium.[2]
Before joining Stanford University, Ye was a Henry B. Tippie Research Professor at the University of Iowa. Ye is a co-founder of minMax Optimization, a technology company based in Palo Alto and Shanghai focused on creating optimization tools for geospatial and financial problems.
References
^Luenberger, David G.; Ye, Yinyu (2008). Linear and nonlinear programming. International Series in Operations Research & Management Science. Vol. 116 (Third ed.). New York: Springer. pp. xiv+546. ISBN978-0-387-74502-2. MR2423726.
Luenberger, David G.; Ye, Yinyu (2008). Linear and nonlinear programming. International Series in Operations Research & Management Science. Vol. 116 (Third ed.). New York: Springer. pp. xiv+546. ISBN978-0-387-74502-2. MR2423726.