Migrating from Excel-based planning tools to enterprise-ready optimization models and applications
Excel is still the most widely used tool for strategic, tactical and operational purposes in companies around the world.
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Improvements in Gurobi v8.0
Find out what’s new in Gurobi Optimizer 8.0. This latest release contains performance improvements and significant product enhancements.
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Proven Techniques for Solving Financial Problems with Gurobi
Watch this webinar, featuring FINOR, to learn how mathematical optimization models can be applied to portfolio selection.
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Latest Developments in MIP Algorithms and Applications in the Power and Energy Industries (Chinese Language)
Watch this webinar to learn about the latest developments in MIP algorithms and applications in the power & energy industries.
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Opalytics Custom Development and Cloud Deployment
Developing optimization solutions often requires rapid deployment to users in order to take full advantage of the capabilities.
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Tech Talk & Chat– Visualization Tools
In this Tech Talk, key members of the Gurobi team introduce “Grblogtools”. Learn about this tool that allows you to analyze dozens or even hundreds of Gurobi log files.
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[Podcast] Data Science Based Decisions: Mixed-Integer Programming
Learn how machine learning and optimization can complement each other; the former making predictions about likely future business outcomes, and the latter suggesting appropriate actions to take in order to take advantage of these outcomes.
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Integrating Machine Learning with Mathematical Optimization: Resource Matching
Large professional services companies employ thousands of experts to deliver a wide variety of services, making labor the industry’s highest expense. Current manual processes and tools used within labor resources management present many limitations leading to poor demand fulfillment, low labor resource utilization, high project delivery costs, and poor customer satisfaction.
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Optimizing to Make Better Conservation Decisions
In this webinar, Dr. Jeffrey Hanson, Postdoctoral Scientist, Carleton University, will start with an introduction to systematic conservation planning, explain some of the key concepts and mathematical problems formulations for generating conservation plans, and highlight case studies from the literature. Dr. Richard Schuster, Director of Social Planning and Innovation, Nature Conservancy of Canada, will then compare exact algorithm solvers with conventional software for conservation planning, and talk about some real-world examples where exact algorithms solvers -- such as Gurobi -- have been used to help guide conservation decisions. By using exact algorithm solvers, conservation practitioners can quickly identify cost-effective conservation plans to inform decision making.
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