• Business Industry

 

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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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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Modeling With the Gurobi Python Interface

This 50 minute tutorial illustrates the modeling features of the Gurobi Python interface.

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Launch Event: What’s New in Gurobi 9.5 (Chinese Language)

In this webinar, you will learn what’s new in 9.5 including performance improvements, new features and enhancements.

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Ask the Experts: Technician Routing & Scheduling Problem

In this session, we will share the latest Jupyter Notebook Modeling Example featuring a Technician Routing & Scheduling Demo. We will showcase a mixed-integer programming model to simultaneously optimize the technician routing and scheduling (TRS) decisions at a telecommunications firm. Example scenarios and solution visualization will be demonstrated.

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KPMG: Using Optimization to Cope with Uncertainty

In this webinar, KPMG will discuss how to turn disruption into an opportunity and how to use mathematical tools to make better decisions during times of uncertainty. They will deep dive into a few use cases, including the distribution of industrial goods and food.

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Integer Linear Programming in Computational and Systems Biology

Watch this video to learn about a fascinating, non-traditional use of integer linear programming in Computational and Systems Biology.

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