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Creators/Authors contains: "Rostami, Mohammadreza"

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  1. ; ; (, IEEE)
    This paper proposes a set of novel optimization algorithms for solving a class of convex optimization problems with time-varying streaming cost functions. We develop an approach to track the optimal solution with a bounded error. Unlike prior work, our algorithm is executed only by using the first-order derivatives of the cost function, which makes it computationally efficient for optimization with time-varying cost function. We compare our algorithms to the gradient descent algorithm and show why gradient descent is not an effective solution for optimization problems with time-varying cost. Several examples, including solving a model predictive control problem cast as a convex optimization problem with a streaming time-varying cost function, demonstrate our results. 
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    Free, publicly-accessible full text available July 10, 2025
  2. ; (, Proceedings of the American Control Conference)
    Full Text Available