»ã±¨±êÌâ (Title)£º¸ßάº¬Ê±ÎÊÌâµÄ¶¯Ì¬·ÇÏßÐÔ²ÎÊý½üËÆ
»ã±¨ÈË (Speaker)£º ÕÅº× £¨±±¾©´óѧ)
»ã±¨¹¦·ò (Time)£º2025Äê4ÔÂ19ÈÕ£¨ÖÜÁù£©15:45
»ã±¨µØÖ· (Place)£º У±¾²¿Gj303
Ô¼ÇëÈË(Inviter)£ºÇØÏþÑ©
Ö÷°ì²¿ÃÅ£ºÀíѧԺÊýѧϵ
»ã±¨ÌáÒª£ºËæ×ÅPINNµÈÀûÓûúе½ø½¨¹¤¾ßÇó½â΢·Ö·½³ÌµÄ²½ÖèµÄ·¢Õ¹£¬½èÖúÉñ¾ÍøÂçµÈ·ÇÏßÐÔ²ÎÊýÄ£Ð͵ݵʾÄÜÁ¦£¬ÈËÃÇÆðÍ·¹Ø×¢²ÎÊý»¯²½ÖèÇó½â¸ßάÎÊÌâµÄ¿ÉÄÜÐÔ£¬³ö¸ñÊǺ¬Ê±ÎÊÌâ¡£Õë¶Ôº¬Ê±ÎÊÌ⣬ÀýÈçÅ×Îï·½³Ì£¬ÎÒÃÇÍùÍù±ØÒªÒýÈ붯̬²ÎÊý£¬¼´ÔÚÍÆËã¹ý³ÌÖн«²ÎÊýÊÓΪ¹¦·òµÄº¯Êý¡£±¾´Î»ã±¨£¬ÎÒ½«ÏÈ»ØÊ×¶¯Ì¬·ÇÏßÐÔ²ÎÊý½üËÆ²½ÖèµÄÀíÂÛ»ù´¡ºÍ´ú±í¹¤×÷£¬ÆäÖ÷Ìâ˼ÏëÊÇÀûÓÃDirac-Frenkel±ä·Ö·¨ÍƵ¼³ö¶¯Ì¬²ÎÊýÂú×ãµÄ³£Î¢·Ö·½³Ì¡£µ«ÓÉÓÚ·ÇÏßÐԺ͹ý²ÎÊý»¯£¬¸Ã³£Î¢·Ö·½³Ìͨ³£ÊDz¡Ì¬µÄ»ò´æÔÚ¸ÕÐÔ£¬±ØÒªÒýÈëÕýÔò»¯¡£ÎªÁËÍÆ¹ãµ½¸ßά£¬Êܵ½¸ßάPDEµÄÕÅÁ¿²½ÖèºÍÕÅÁ¿Éñ¾ÍøÂ磨Tensor Neural Networks£©µÄÆô·¢£¬ÎÒÃdzÁµã×êÑÐÁËÕÅÁ¿»¯²ÎÊýÄ£ÐÍÇó½âº¬Ê±ÎÊÌâµÄÊýÖµ²½Ö衣ΪÏàʶ¾öάÊý¿àÄÑ£¬ÎÒÃÇÌá³öÀûÓùý²ÎÊý»¯µÄ¸öÐÔ¶Ô¶¯Ì¬²ÎÊýËùÂú×ãµÄ³£Î¢·Ö·½³Ì×öµÍÖȽüËÆ£¨low-rank approximation£©£¬ÕâÑù¼´Ìá¸ßÁËÊýÖµ²»±äÐÔÒ²½µµÍÁËÍÆË㸴ÔÓ¶È¡£¸Ã²½Öè¿ÉÀûÓÃÓÚÔ̺¬ÕÅÁ¿Éñ¾ÍøÂçÔÚÄÚµÄÕÅÁ¿»¯²ÎÊýÄ£ÐÍ¡£