Kai Wang
E-Mail:c6fd92bc21022ef5ddc0feb87b698d0b049b62bca583a286c0a60a71c6b57a37eec27ce01df6dd0336f9749b8df374f49b40d02251f4cd8642e4af2d300acad26bc67b0e8614f7e69a57e3bec0f73ba8e909ac564139f5e7beb2c4106524e77a4a6c01c2ca1bdc97c64e0088ea38b4ed7d69338e06283f05199b6b1a52bbd7d7
Degree:Dr
Main Positions:Specially appointed Professor
基于三维波动方程和伴随法,通过最优化方法得到三维模型使得观察数据和合成数据差异最小化。