»ã±¨±êÌâ (Title)£ºMix Sparse Optimization: Theory and Applications£¨»ìºÏÏ¡ÉÙÓÅ»¯£ºÀíÂÛÓëÀûÓã©

»ã±¨ÈË (Speaker)£ººúÒ«»ª ½ÌÊÚ£¨ÉîÛÚ´óѧÊýѧ¿ÆѧѧԺ£©

»ã±¨¹¦·ò (Time)£º2024Äê6ÔÂ22ÈÕ (ÖÜÁù) 09:00

»ã±¨µØÖ· (Place)£ºÐ£±¾²¿GJ303

Ô¼ÇëÈË(Inviter)£ºÐì×Ë ½ÌÊÚ

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»ã±¨ÌáÒª£ºStructured sparse optimization has been extensively applied in the modelling of many important problems in various disciplines. The mix sparse structure is inherited in a wide class of practical applications, namely, the sparse structure appears as the inter-group and intra-group manners simultaneously. In this talk, we will discuss the nonconvex regularization method for mix sparse optimization problem, as well as a first-order iterative algorithm, and present its consistency theory, asymptotic theory and convergence theory. Applications of mix sparse optimization method to gene regulatory networks and differential optical absorption spectroscopy will be presented.