
WEBINAR / EVENT
【中文网络讲座】Gurobi 10.0 发布 -- 新亮点和技术创新
本次网络讲座中,Gurobi Optimization 公司的 CTO 和创始人顾宗浩博士将会介绍Gurobi 10.0 的新亮点和技术创新。讲座内容包括性能提升采用的新技术和新算法,例如网络单纯形算法,并发LP 求解算法的改进和基于优化的边界紧缩技术OBBT等。Gurobi 10.0将是第一个允许将用户的机器学习模型嵌入到数学规划模型中的商业求解器,极大括展了数据科学家调用运筹算法的能力,这部分功能在Github上开源提供。这部分内容也会在讲座中介绍,以及其他一些开源的效率工具,例如对 pandas 数据的建模支持等。
December 7, 2022

WEBINAR / EVENT
【中文网络讲座】Gurobi 10.0 发布 -- 新亮点和技术创新
本次网络讲座中,Gurobi Optimization 公司的 CTO 和创始人顾宗浩博士将会介绍Gurobi 10.0 的新亮点和技术创新。讲座内容包括性能提升采用的新技术和新算法,例如网络单纯形算法,并发LP 求解算法的改进和基于优化的边界紧缩技术OBBT等。Gurobi 10.0将是第一个允许将用户的机器学习模型嵌入到数学规划模型中的商业求解器,极大括展了数据科学家调用运筹算法的能力,这部分功能在Github上开源提供。这部分内容也会在讲座中介绍,以及其他一些开源的效率工具,例如对 pandas 数据的建模支持等。
December 7, 2022

WEBINAR / EVENT
【中文网络讲座】Gurobi 10.0 发布 -- 新亮点和技术创新
本次网络讲座中,Gurobi Optimization 公司的 CTO 和创始人顾宗浩博士将会介绍Gurobi 10.0 的新亮点和技术创新。讲座内容包括性能提升采用的新技术和新算法,例如网络单纯形算法,并发LP 求解算法的改进和基于优化的边界紧缩技术OBBT等。Gurobi 10.0将是第一个允许将用户的机器学习模型嵌入到数学规划模型中的商业求解器,极大括展了数据科学家调用运筹算法的能力,这部分功能在Github上开源提供。这部分内容也会在讲座中介绍,以及其他一些开源的效率工具,例如对 pandas 数据的建模支持等。
December 7, 2022
Event Recap
本次网络讲座中,Gurobi Optimization 公司的 CTO 和创始人顾宗浩博士将会介绍Gurobi 10.0 的新亮点和技术创新。讲座内容包括性能提升采用的新技术和新算法,例如网络单纯形算法,并发LP 求解算法的改进和基于优化的边界紧缩技术OBBT等。Gurobi 10.0将是第一个允许将用户的机器学习模型嵌入到数学规划模型中的商业求解器,极大括展了数据科学家调用运筹算法的能力,这部分功能在Github上开源提供。这部分内容也会在讲座中介绍,以及其他一些开源的效率工具,例如对 pandas 数据的建模支持等。
演讲资料: 点击下载
Event Recap
本次网络讲座中,Gurobi Optimization 公司的 CTO 和创始人顾宗浩博士将会介绍Gurobi 10.0 的新亮点和技术创新。讲座内容包括性能提升采用的新技术和新算法,例如网络单纯形算法,并发LP 求解算法的改进和基于优化的边界紧缩技术OBBT等。Gurobi 10.0将是第一个允许将用户的机器学习模型嵌入到数学规划模型中的商业求解器,极大括展了数据科学家调用运筹算法的能力,这部分功能在Github上开源提供。这部分内容也会在讲座中介绍,以及其他一些开源的效率工具,例如对 pandas 数据的建模支持等。
演讲资料: 点击下载
Event Recap
本次网络讲座中,Gurobi Optimization 公司的 CTO 和创始人顾宗浩博士将会介绍Gurobi 10.0 的新亮点和技术创新。讲座内容包括性能提升采用的新技术和新算法,例如网络单纯形算法,并发LP 求解算法的改进和基于优化的边界紧缩技术OBBT等。Gurobi 10.0将是第一个允许将用户的机器学习模型嵌入到数学规划模型中的商业求解器,极大括展了数据科学家调用运筹算法的能力,这部分功能在Github上开源提供。这部分内容也会在讲座中介绍,以及其他一些开源的效率工具,例如对 pandas 数据的建模支持等。
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

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

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.

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.