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We describe an efficient method for solving an optimal control problem that arises in robust model-predictive control. The problem is to design the input sequence that minimizes the peak tracking erro...
Gauss quadrature is a well known method for estimating the integral of a continuous function with respect to a given measure as a weighted sum of the function evaluated at a set of node points. Gauss ...
Interest in linear programming has been intensified recently by Karmarkar's publication in 1984 of an algorithm that is claimed to be much faster than the simplex method for practical problems. We...
Stable and efficient updates to the basis matrix factors are vital to the simplex method. The "best" updating method depends on the machine in use and how the update is implemented. For example, the ...
We propose a new method of estimation in high-dimensional linear regression model. It allows for very weak distributional assumptions including heteroscedasticity, and does not require the knowledge o...
Linear optimization problems are investigated whose parametersare uncertain. We apply coherent distortion risk measures to capture the pos-sible violation of a restriction. Each risk constraint induce...

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