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Event

Avoiding Numerical Issues in Optimization Models

Models with numerical issues can lead to undesirable results: slow performance, wrong answers or inconsistent behavior.

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Jupyter Model

Best Feature Selection for Forecasting

In this example, you will learn how to perform linear regression with feature selection using mathematical programming. We'll show you how to construct a mixed-integer quadratic programming (MIQP) model of this linear regression problem, implement this model in the Gurobi Python API, and generate an optimal solution.

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Event

Best Practices for Network Design Modeling

Watch the video and learn, different types of network design problems, how to formulate network design optimization models, scenario analysis for network design and other tips and tricks that you can use right now.

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Resource > Blog

Better Hardware for Solving Mathematical Optimization Problems? The Future is Looking Bright

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Event

Better Solutions Through Effective Parameter Setting

One hour webinar, given by Gurobi CTO and Co-founder, Dr. Zonghao Gu

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Case Study

Birchbox: Subscription Box Service Optimization

See how e-commerce company Birchbox uses mathematical optimization to drive greater efficiency and revenue growth.

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Case Study

Blue Yonder: Retail Pricing Decisions

See how Blue Yonder uses machine learning and math programming to deliver daily, automated retail pricing decisions.

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Event

Boost Profitability and Efficiency with Optimization- Insights from the 2021 Financial Services Study

In this webinar you will hear findings from the 2021 Forrester Mathematical Optimization Financial Services Study and insights on how financial institutions can harness the power of MO.

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Case Study

Brain Pad: Online Advertising Optimization

See how in only 10 minutes, rather than the hour an alternative took, Gurobi optimizes online search advertising across millions of keywords.

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Case Study

Campify: Optimizing Camp Schedules

Discover how Campify provides its clients with a faster, more efficient way to create camp event schedules.

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Resource > Demo

Cell Tower Coverage Demo

In this example we'll solve a simple covering problem: how to build cell towers to provide signal to the largest number of people.

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