【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。
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ML and Optimization to determine best store network
BearingPoint has been using analytics to support its supply chain projects for many years. Optimisation is a key tool, especially for network optimisation projects, but typically would be combined with other analytical methods.
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Using the Automatic Parameter Tuning Tool
This 17 minute video seminar explains the importance of parameters and how to use the Automatic Parameter Tuning Tool to help you maximize Gurobi’s performance.
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Non-Convex Quadratic Optimization
With the release of Gurobi 9.0’s addition of a new bilinear solver, the Gurobi Optimizer now supports non-convex quadratic optimization. This groundbreaking new capability allows users to solve problems with non-convex quadratic constraints and objectives – enabling them to find globally optimal solutions to classic bilinear pooling and blending problems and continuous manufacturing problems.
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New Directions for Optimization
In this video, learn about the motivation for some of the recent features added to the Gurobi Optimizer as well as recent developments in the field and how they are influencing our thinking on potential future directions.
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Integrating Gurobi into State-of-the-Art Application Architectures
In this webinar, we will take a look at common use cases and usage scenarios – from simple, single-machine deployments, to distributed, decentralized service architectures in the cloud.
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How To Synchronize Complex Routing Operations (Synched VRPs) with Gurobi (Spanish)
In this webinar, we present different ways to model vehicle routing problems, discuss the advantages of each modeling alternative, explain how to model the requirements related to synching resources in routing activities, assess the best modeling alternative depending on the size of the problem.
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Gurobi 8.0 – Latest Enhancements to R and MATLAB APIs
The latest Gurobi v8.0 release features significant enhancements to our R and MATLAB APIs. Those improved APIs now provide nearly all the capabilities of other Gurobi APIs, and now support multi-objective optimization, general constraints, etc.
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Gurobi Python Interface: Matrix-friendly Modeling Techniques
Watch this 30-minute video to learn about a new set of API functions within the Gurobi Python interface (“gurobipy”) that support matrix-oriented modeling.
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Holiday Tech Talk – Santa’s Bag of Interesting & Unusual Optimization Applications
Watch this special holiday edition Tech Talk. This fun and festive Tech Talk is a great opportunity to explain mathematical optimization to those unfamiliar with it.
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