WEBINAR / EVENT

【中文网络讲座】Gurobi 11.0 发布 -- 新亮点和技术创新

顾博士也在讲座中介绍了性能提升采用的新技术和新算法,例如全局精确混合整数非线性优化,提升LP求解速度和并发速度的新参数,非凸二次矩阵的识别和转换、API接口的更新等等。

December 20, 2023

WEBINAR / EVENT

【中文网络讲座】Gurobi 11.0 发布 -- 新亮点和技术创新

顾博士也在讲座中介绍了性能提升采用的新技术和新算法,例如全局精确混合整数非线性优化,提升LP求解速度和并发速度的新参数,非凸二次矩阵的识别和转换、API接口的更新等等。

December 20, 2023

WEBINAR / EVENT

【中文网络讲座】Gurobi 11.0 发布 -- 新亮点和技术创新

顾博士也在讲座中介绍了性能提升采用的新技术和新算法,例如全局精确混合整数非线性优化,提升LP求解速度和并发速度的新参数,非凸二次矩阵的识别和转换、API接口的更新等等。

December 20, 2023

Event Recap

在此次网络讲座,Gurobi Optimization 公司的 CTO 和创始人顾宗浩博士介绍了Gurobi 11.0 的新亮点和技术创新。顾博士也在讲座中介绍了性能提升采用的新技术和新算法,例如全局精确混合整数非线性优化,提升LP求解速度和并发速度的新参数,非凸二次矩阵的识别和转换、API接口的更新等等。

演讲资料: 点击下载

Event Recap

在此次网络讲座,Gurobi Optimization 公司的 CTO 和创始人顾宗浩博士介绍了Gurobi 11.0 的新亮点和技术创新。顾博士也在讲座中介绍了性能提升采用的新技术和新算法,例如全局精确混合整数非线性优化,提升LP求解速度和并发速度的新参数,非凸二次矩阵的识别和转换、API接口的更新等等。

演讲资料: 点击下载

Event Recap

在此次网络讲座,Gurobi Optimization 公司的 CTO 和创始人顾宗浩博士介绍了Gurobi 11.0 的新亮点和技术创新。顾博士也在讲座中介绍了性能提升采用的新技术和新算法,例如全局精确混合整数非线性优化,提升LP求解速度和并发速度的新参数,非凸二次矩阵的识别和转换、API接口的更新等等。

演讲资料: 点击下载

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.

  • Zonghao Gu

    Chief Research Fellow & Co-Founder

    Image

    Dr. Zonghao Gu has a B. Eng. in Mechanical Engineering and an M. Eng. in Industrial Management from Tongji University, Shanghai. He has a PhD in Industrial Engineering from the Georgia Institute of Technology. Dr. Gu has published several papers on the computational aspects of mathematical programming. He is one of the world’s leading experts on the computational aspects of linear, integer, and quadratic programming, and is particularly well known for his deep understanding of cutting planes and their application to the solution of general mixed-integer programs. Dr. Gu worked from 1995 to 1998 as an optimization software developer for LINDO Systems, Inc., before joining the ILOG CPLEX R&D team in 1998 as a senior software developer and later as a Distinguished Scientist. From 2005 to 2008 he was Project Architect for the CPLEX R&D team and was the lead developer for CPLEX 11. He was responsible for the implementation of the CPLEX QP simplex and MIQP solvers, had primary responsibility for the presolve and cutting plane routines, and made various contributions to the CPLEX LP simplex solver.

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.

  • Zonghao Gu

    Chief Research Fellow & Co-Founder

    Image

    Dr. Zonghao Gu has a B. Eng. in Mechanical Engineering and an M. Eng. in Industrial Management from Tongji University, Shanghai. He has a PhD in Industrial Engineering from the Georgia Institute of Technology. Dr. Gu has published several papers on the computational aspects of mathematical programming. He is one of the world’s leading experts on the computational aspects of linear, integer, and quadratic programming, and is particularly well known for his deep understanding of cutting planes and their application to the solution of general mixed-integer programs. Dr. Gu worked from 1995 to 1998 as an optimization software developer for LINDO Systems, Inc., before joining the ILOG CPLEX R&D team in 1998 as a senior software developer and later as a Distinguished Scientist. From 2005 to 2008 he was Project Architect for the CPLEX R&D team and was the lead developer for CPLEX 11. He was responsible for the implementation of the CPLEX QP simplex and MIQP solvers, had primary responsibility for the presolve and cutting plane routines, and made various contributions to the CPLEX LP simplex solver.

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.

  • Image

    Chief Research Fellow & Co-Founder

    Zonghao Gu

    Dr. Zonghao Gu has a B. Eng. in Mechanical Engineering and an M. Eng. in Industrial Management from Tongji University, Shanghai. He has a PhD in Industrial Engineering from the Georgia Institute of Technology. Dr. Gu has published several papers on the computational aspects of mathematical programming. He is one of the world’s leading experts on the computational aspects of linear, integer, and quadratic programming, and is particularly well known for his deep understanding of cutting planes and their application to the solution of general mixed-integer programs. Dr. Gu worked from 1995 to 1998 as an optimization software developer for LINDO Systems, Inc., before joining the ILOG CPLEX R&D team in 1998 as a senior software developer and later as a Distinguished Scientist. From 2005 to 2008 he was Project Architect for the CPLEX R&D team and was the lead developer for CPLEX 11. He was responsible for the implementation of the CPLEX QP simplex and MIQP solvers, had primary responsibility for the presolve and cutting plane routines, and made various contributions to the CPLEX LP simplex solver.