Optimization and Systems Theory

Optimization and Systems Theory is a discipline in applied mathematics primarily devoted to methods of optimization, including mathematical programming and optimal control, and systems theoretic aspects of control and signal processing. In addition, attention is given to mathematical economics and applied problems in operations research, systems engineering and control engineering.

Research performed at the Division of Optimization and Systems Theory includes various topics in mathematical systems theory, with particular emphasis on stochastic systems, filtering, identification and robust and nonlinear control; mathematical programming, with large-scale nonlinear programming, structural optimization; and a wide range of applications. Examples of applications include radiation therapy, robotics, telecommunications.

The Division of Optimization and Systems Theory offers undergraduate courses in mathematical programming, mathematical systems theory, optimal control and systems engineering. There is an extensive graduate program.

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Belongs to: Department of Mathematics
Last changed: Jul 10, 2012