Resources
- [Podcast] Data Science Based Decisions: Mixed-Integer Programming
- 4 Key Advantages of Using Mathematical Optimization Instead of Heuristics
- 4 Keys to Delivering Excellent Customer Support
- 4 Reasons Why Data Scientists Should Add Mathematical Optimization to Their Analytics Toolbox
- A Deep Dive into Advanced Analytics Model Review and Validation
- Adding Optimization to Your Data Science Analytics Toolbox
- Advanced Methods for Optimal Scheduling Using Gurobi
- Avoiding Numerical Issues in Optimization Models
- Best Practices for Network Design Modeling
- Better Solutions Through Effective Parameter Setting
- Building a Business Case for Optimization
- Cell Tower Coverage Demo
- Cell Tower Coverage Problem
- Choosing a Math Programming Solver
- Combining Optimization with Machine Learning Webinar, Part 1
- Combining Optimization with Machine Learning Webinar, Part 2
- Coronavirus: How Mathematical Optimization Can Help Mitigate Supply Chain Disruption
- Customer Assignment Problem
- Cutting Stock Problem with Multiple Master Rolls
- Developing and Deploying Optimization Applications with AMPL
- eBook: Choosing a Math Programming Solver
- Enabling Client-Server Optimization Applications With the New Gurobi Compute Server
- Exporting MPS Files
- Exporting MPS Files Using CBC APIs: Command Line, C / C++ and Python
- External Resources
- Facility Location Demo
- Facility Location Problem
- Fireside Chat with Ed Rothberg and Mike Watson
- Forrester Opportunity Snapshot – “Mathematical Optimization and Machine Learning: Your Perfect AI Tech Team”
- Free Gurobi Add-Ons
- Functional Code Examples
- Getting Started with Gurobi, Part 1 of 3
- Getting Started with Gurobi, Part 2 of 3
- Getting Started with Gurobi, Part 3 of 3
- Gurobi 8.0 – Enhancements to Instant Cloud and Compute Server
- Gurobi 8.0 – Latest Enhancements to R and MATLAB APIs
- Gurobi 9.0 Compute Server – New Features and Enhancements
- Gurobi Licenses and Resources for Academics
- Gurobi Optimization Application Demos
- Gurobi Product Brochure
- Gurobi QCP and SOCP Optimizer Overview
- How Optimization Modeling Creates Value for an Organization
- How Supply Chain Companies Can Achieve Decision-Centric Optimization
- HP-Williams Modeling Examples
- Imagine a World Without Mathematical Optimization
- Improvements in Gurobi v7.0
- Improvements in Gurobi v7.5
- Improvements in Gurobi v8.0
- Improving the Performance of the Gurobi Optimizer
- Integer Linear Programming in Computational and Systems Biology
- Integrating Gurobi into State-of-the-Art Application Architectures
- Integrating Machine Learning with Mathematical Optimization: Resource Matching
- Interactive Shell Overview Video
- Intro to Performance Tuning for Optimization Systems with Gurobi
- L0-Regression
- Labor Strategy Optimization for the Professional Services Industry
- Learning More: External Books and Blogs
- Level 1 – Introduction for Data Scientists
- Level 2 – Resources for Beginners
- Level 3 – Resources for Intermediate Users
- Level 4 – Resources for Advanced Users
- Linear Programming (LP) – A Primer on the Basics
- Math Programming Modeling Basics
- Mathematical Optimization and Machine Learning
- Mathematical Optimization: Past, Present, and Future (Part 1)
- Mathematical Optimization: Past, Present, and Future (Part 2)
- Migrating from Excel-based planning tools to enterprise-ready optimization models and applications
- Mixed-Integer Programming (MIP) – A Primer on the Basics
- Modeling Examples
- Modeling Examples in Jupyter Notebook
- Modeling With the Gurobi Python Interface
- Non-Convex Quadratic Optimization
- Offshore Wind Farming Demo
- Offshore Wind Farming Problem
- Opalytics Custom Development and Cloud Deployment
- Open Source Linear and Mixed-Integer Programming Software and Solvers
- Optimization Application Demo: Cutting Stock Problem with Multiple Master Rolls
- Overview of Gurobi 9.0
- Parallel and Distributed Optimization with Gurobi
- Products of Variables in Mixed Integer Programming
- Python I: Introduction to Modeling with Python
- Python II: Advanced Algebraic Modeling with Python and Gurobi
- Python III: Optimization and Heuristics
- Recent Bug Fixes by Version
- Resource Matching Optimization
- Six Life Lessons You Didn’t Learn From Your OR Program
- Solving Simple Stochastic Optimization Problems with Gurobi
- Standard Pooling Problem
- Starting with Gurobi
- Switching from CPLEX
- Switching from OPL
- Switching from XPRESS
- Switching Is Easier than You Think
- Switching to Gurobi From Another Solver
- Switching Within a Modeling Language
- The Grain Drain: Large-Scale Grain Port Terminal Optimization
- The Gurobi Python Modeling and Development Environment
- The Traveling Salesman Problem Demo
- Tips and Tricks for Optimal Scheduling Using Gurobi
- Tour of the Gurobi Optimizer
- Traveling Salesman Problem
- Tutorial: Linear Programming
- Tutorial: Mixed Integer Linear Programming
- Useful Tips and Tricks for Getting Started with Gurobi
- Using Gurobi and Anaconda Together
- Using Gurobi to Optimize Distributed Energy Storage Assets
- Using MIP to Model Midstream Energy Assets
- Using the Automatic Parameter Tuning Tool
- Why Choose Gurobi?
- Workforce Scheduling Demo
