【專題演講】Numerical methods for solving the nonnegative least squares problem-劉青松 教授 (高雄大學應用數學系)
講者：劉青松 教授 (高雄大學應用數學系)
時間：113年04月23日(星期二)下午13：30-15：00
地點：民生校區五育樓4樓401教室
摘要
In this talk, we propose a new algorithm for solving nonnegative least squares problems (NNLS). Constrained least-squares problems are prevalent in various applications, including low-dimensional representations of matrices or tensors, such as nonnegative matrix factorization. Our method employs both inner and outer schemes to determine the index set corresponding to the nonzero components of the optimal solution.
時間：113年04月23日(星期二)下午13：30-15：00
地點：民生校區五育樓4樓401教室
摘要
In this talk, we propose a new algorithm for solving nonnegative least squares problems (NNLS). Constrained least-squares problems are prevalent in various applications, including low-dimensional representations of matrices or tensors, such as nonnegative matrix factorization. Our method employs both inner and outer schemes to determine the index set corresponding to the nonzero components of the optimal solution.
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