My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...
Abstract: As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...
Abstract: The paper studies discrete-time statistical filtering problems with the goal to minimize expected total costs. Such problems are usually defined by pairs of stochastic equations and by ...
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