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Latest Insight
2011
Dude
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2012
Academic License Terms Extended
READ POST
Read Post About Academic License Terms Extended
Data Science In Walmart Supply Chain Technology
READ POST
Read Post About Data Science In Walmart Supply Chain Technology
2014
Dr. Achterberg Joins Gurobi
READ POST
Read Post About Dr. Achterberg Joins Gurobi
News
A First Look at Gurobi Optimization
Industry analyst report
News
Academic License Terms Extended
License terms doubles from six months to one year for free licenses
News
AIMMS Releases New Version for Gurobi 6.0
AIMMS releases version 4.2 with support for Gurobi 6.0
Choosing a Math Programming Solver
Finding Mathematical Optimization in Unexpected Places: Games and Puzzles
Campify: Optimizing Camp Schedules
Arute Solutions: Cash+ Keeps ATMs Optimally Stocked
Combining Machine Learning and Optimization Modeling in Fantasy Basketball
How Better Optimization Can Solve Supply Chain Issues
Mondelēz: A Smarter Way to Ship Snacks
Tech Talk & Chat– Converting Weak to Strong MIP Formulations
Proven Techniques for Solving Financial Problems with Gurobi
Swissport: Automating Airport Staff Scheduling
Optimizing the Operation and Planning of Modern Power Systems
Why Gurobi?
Alpiq: Keeping Hydroelectric Power Flowing
Holiday Tech Talk - Santa’s Bag of Interesting & Unusual Optimization Applications
Launch Event: What’s New in Gurobi 9.5 (Chinese Language)
Boost Profitability and Efficiency with Optimization- Insights from the 2021 Financial Services Study
Launch Event: What’s New in Gurobi 9.5
Using Optimization to Design a Heat Exchanger in a Chemical Plant
Tech Talk - A Practical Tour Through Non-convex Optimization
Gurobi 9.5 Delivers Enterprise Features and Even Better Performance
NordStar: Crew Planning Optimization
Faster MIPs Using Custom Heuristics
Finding Mathematical Optimization in Unexpected Places: The Art World
Tech Talk & Chat– Visualization Tools
Mathematical Optimization: A Powerful Prescriptive Analytics Technology That Belongs in Your Data Science Toolbox
Industry Solution Sheet: Oil, Gas, and Petrochemicals
Kaneka: Production Planning Optimization
The Next Step for Enterprises: Optimization Transformation
COVID-19 Hospital Capacity Management using Mathematical Models
4 Key Differences Between Mathematical Optimization and Machine Learning
Polymathian: Supply Chain Optimization in the Mining Industry
Interview: How Mathematical Optimization Can Help Power Today’s Energy Industry Transformation
Latest Developments in MIP Algorithms and Applications in the Power and Energy Industries (Chinese Language)
Robeco: Investment Portfolio Optimization
Industry Solution Sheet: Agribusiness
Opportunities for Optimization in the Telecom Industry: Network Planning and Data Monetization
Industry Solution Sheet: Consumer Packaged Goods (CPG)
Mathematical Optimization: An Established and Ever-Evolving Tool For Tackling Supply Chain Disruption
Emesa: Marketing Campaign Optimization
Solution Brief: Marketing Campaign Optimization
Guide: How to Optimize the Design of Your Supply Chain Network
How Optimization Can Help Your Business Prepare For A Possible Quantum Computing Future
3 Reasons Why Mathematical Optimization Is Such A Potent Weapon In Combating Supply Chain Disruption
3 Main Pathways To Successful Mathematical Optimization Implementations
Portfolio Selection Optimization
Mathematical Optimization: The Key to Unlocking Opportunity in this Time of Transformation in the Electricity Industry
Interview: Using Mathematical Optimization to Address the Healthcare Challenges of COVID-19
Financial Services Solution Brief: Collateral Allocation Optimization
5 Key Areas Where Mathematical Optimization Can Deliver Benefits for Telecom Companies in 2021
How Mathematical Optimization Could Help Address The Covid-19 Vaccine Allocation Problem
Models with Products of Binary Variables
State of Mathematical Optimization Report
The Pivotal Role Of Mathematical Optimization In The 2020 Nobel Prize In Economics
Gurobi Product Brochure
Gurobi Corporate Brochure
RWTH Aachen University: Energy Hub Design Optimization
Your Journey to Success with Mathematical Optimization (Part II)
COVID-19: Healthcare Facility Capacity Optimization
Solving Bilinear Programming Problems
What Would Our World Be Like Without Mathematical Optimization?
Infographic: Optimizing Logistics Operations Across Your End-To-End Supply Chain
Yield Management
3 Reasons Mathematical Optimization Is Such a Powerful and Versatile AI Problem-Solving Technology
Efficiency Analysis
Toyota: Production Planning Optimization
What's New in the Gurobi Optimizer 9.1
How to Demonstrate the Business Value of Your Mathematical Optimization Application
Milk Collection Problem
Better Hardware for Solving Mathematical Optimization Problems? The Future is Looking Bright
Release Sheet: Version 9.1
Lost Luggage Distribution
Gurobi Support: Ensuring That You Are Successful With Optimization
Economic Planning
Protein Comparison
Vehicle Rental Optimization I and II
How Vodafone Uses Optimization to Tackle the Telecom Industry's Toughest Problems
Release Sheet: Version 9.0
3 Reasons Why Mathematical Optimization Solver Speed Matters
Constraint Optimization
Infographic: Measuring the Gurobi Impact
Industry Solution Sheet: Manufacturing (Make to Order Approach)
How A Mathematical Optimization Model Can Help Your Business Deal With Disruption
Protein Folding
Your Journey to Success with Mathematical Optimization (Part I)
Develop More Accurate Machine Learning Models with MIP
Polymathian: Multi-Utility Asset and Network Optimization
Math Jax Testing
Polymathian: Multi-Utility Asset and Network Optimization
3 Times in My Career When Mathematical Optimization Would Have Saved My Skin
Agricultural Pricing
Opencast Mining
Market Sharing
Logical Design
Industry Solution Sheet: Manufacturing (Make to Stock Approach)
Discover How You Can Boost Your Mathematical Optimization Modeling Skills With Python
Curve Fitting
Decentralization Planning
How To Synchronize Complex Routing Operations (Synched VRPs) with Gurobi
How to Exploit Parallelism in Linear and Mixed-Integer Programming
Should Your Company Be Using Mathematical Optimization? Ask Yourself These Four Questions to Find Out
Supply Network Design I and II
Logic Programming - 3D Tic-Tac-Toe
Marketing Campaign Optimization
Electrical Power Generation I and II
Industry Solution Sheet: Electric Power
How Birchbox Transformed Its Operations With Mathematical Optimization
3 Reasons Why More and More Companies Are Choosing to Use Mathematical Optimization
What-If Analysis: The Key to Unlocking the Opportunity in Uncertainty
Workforce Scheduling Problem
Ask the Experts: Geek Out On MIP with Gurobi's R&D Leaders
Sample Resource
Fireside Chat with Mike North, VP of Broadcast Planning & Scheduling for the NFL
Ask the Experts: Technician Routing & Scheduling Problem
Creating the NFL Schedule with Mathematical Optimization
KPMG: Using Optimization to Cope with Uncertainty
Technician Routing and Scheduling Problem
Polymathian: Mining Supply Chain Optimization
3 Ways That Mathematical Optimization Can Be Used to Improve Machine Learning Applications
4 Key Advantages of Deploying Your Mathematical Optimization Solver on a Dedicated Server
Learn How to Design and Deploy Optimization Applications
Industry Solution Sheet: Telecommunications
How You Can Improve Your Mathematical Optimization Application During the “Work-From-Home” Period
Industry Solution Sheet: Healthcare
Experience the Power of Mathematical Optimization
Industry Solution Sheet: Financial Services
Industry Solution Sheet: Supply Chain
Infographic: Discover the Business Benefits that Mathematical Optimization Delivers
How the FCC Uses Mathematical Optimization
5 Essential Ingredients for Mathematical Optimization Success
Kvaerner
Refinery Planning Problem
Mining Optimization
Manpower Planning
Food Manufacturing Problem
Farm Planning Problem
Factory Planning Problem I and II
Mathematical Optimization: What You Need to Know
Interview: Understanding the Business Value of Mathematical Optimization
Mathematical Optimization: Past, Present, and Future (Part 3)
Gurobi Optimization Application Demos
Jupyter Notebook Modeling Examples
Introduction To Mathematical Optimization Modeling
Coronavirus: How Mathematical Optimization Can Help Organizations Overcome Today’s Unprecedented Challenges
Gurobi Python Interface: Matrix-friendly Modeling Techniques
Infographic: How Are Companies Today Using Mathematical Optimization?
Gurobi Licenses and Resources for Academics
4 Reasons Why Data Scientists Should Add Mathematical Optimization to Their Analytics Toolbox
4 Keys to Delivering Excellent Customer Support
Production Planning Problem - Modeling Examples
Traveling Salesman Problem
Facility Location Problem
Cell Tower Coverage Problem
Offshore Wind Farming
The Traveling Salesman Problem Demo
Facility Location Problem Demo
Offshore Wind Farming Demo
Cell Tower Coverage Demo
Microsoft Research
Arauco: Supply Chain Planning Optimization
Birchbox: Subscription Box Service Optimization
Workforce Scheduling Demo
Forrester Opportunity Snapshot – “Mathematical Optimization and Machine Learning: Your Perfect AI Tech Team”
Integer Linear Programming in Computational and Systems Biology
Coronavirus: How Mathematical Optimization Can Help Mitigate Supply Chain Disruption
Mathematical Optimization: Past, Present, and Future (Part 2)
Imagine a World Without Mathematical Optimization
Gurobi 9.0 Compute Server – New Features and Enhancements
4 Key Advantages of Using Mathematical Optimization Instead of Heuristics
Mathematical Optimization: Past, Present, and Future (Part 1)
Tutorial: Mixed-Integer Linear Programming
Choosing a Math Programming Solver
eBook: Choosing a Math Programming Solver
Non-Convex Quadratic Optimization
Optimization with Python - Jupyter Notebook Modeling Examples
Level 4 - Resources for Advanced Users
Level 3 - Resources for Intermediate Users
Overview of Gurobi 9.0
Level 2 - Resources for Beginners
Level 1 - Introduction for Data Scientists
Customer Assignment Problem
Standard Pooling Problem
[Podcast] Data Science Based Decisions: Mixed-Integer Programming
Best Practices for Network Design Modeling
Feature Selection for Forecasting
Resource Matching Optimization Demo
Cutting Stock Problem with Multiple Master Rolls
Air France: Tail Assignment Optimization
Optimization Application Demo: Cutting Stock Problem with Multiple Master Rolls
Useful Tips and Tricks for Getting Started with Gurobi
Mathematical Optimization and Machine Learning
Fireside Chat with Ed Rothberg and Mike Watson
Integrating Machine Learning with Mathematical Optimization: Resource Matching
East Daley: Using MIP to Model Midstream Energy Assets
Tutorial: Linear Programming
Products of Variables in Mixed Integer Programming
Eurodecision: Geneva Airport Shift and Personnel Planning Optimization
Using MIP to Model Midstream Energy Assets
Portland Public Schools Redistricting
Easy Park: Urban Parking Optimization
Gurobi Optimization Application Demos
Switching from OPL
Uber: Shaping Urban Aerial Ridesharing
Exporting MPS Files Using CBC APIs: Command Line, C / C++ and Python
Adding Optimization to Your Data Science Analytics Toolbox
Advanced Methods for Optimal Scheduling Using Gurobi
The Grain Drain: Large-Scale Grain Port Terminal Optimization
A Deep Dive into Advanced Analytics Model Review and Validation
Solving Simple Stochastic Optimization Problems with Gurobi
Six Life Lessons You Didn’t Learn From Your OR Program
External Resources
Cloud Guide
AMPL Gurobi-Guide
Reference Manual
Example Tour
Quick Start Guides
Documentation
SwissQuant: Portfolio Optimization
RWTH Aachen University: Teaching
RITE Institute: Power Production
Hewlett-Packard: Project Portfolio Optimization
Tokyo University, Department of Logistics and Information Engineering
ICRON: Supply Chain Optimization
Complevo: Optimal Workforce Planning
Advanced Microgrid Solutions
Blue Yonder: Retail Pricing Decisions
Third-Party Tools for Gurobi
Recent Bug Fixes by Version
Yutong Bus: Production Planning
Wincor Nixdorf: Cash Management
Vidale Consulting Services: Mining
Parallel and Distributed Optimization with Gurobi
Integrating Gurobi into State-of-the-Art Application Architectures
Tokyo Metropolitan University: Power Minimization for Water Supply
Using Gurobi to Optimize Distributed Energy Storage Assets
Opalytics Custom Development and Cloud Deployment
Developing and Deploying Optimization Applications with AMPL
The Energy Authority: Water Routing
Intro to Performance Tuning for Optimization Systems with Gurobi
Migrating from Excel-based planning tools to enterprise-ready optimization models and applications
Pentair Water Solutions: Production
Combining Optimization with Machine Learning Webinar, Part 1
National Football League Scheduling
Avoiding Numerical Issues in Optimization Models
Better Solutions Through Effective Parameter Setting
Using the Automatic Parameter Tuning Tool
Improving the Performance of the Gurobi Optimizer
Combining Optimization with Machine Learning Webinar, Part 2
Gurobi QCP and SOCP Optimizer Overview
National Institute for Environmental Studies
Switching to Gurobi From Another Solver
Tips and Tricks for Optimal Scheduling Using Gurobi
Interactive Shell Overview Video
Modeling With the Gurobi Python Interface
Using Gurobi and Anaconda Together
Lufthansa Flight Training GmbH
Python III: Optimization and Heuristics
Python II: Advanced Algebraic Modeling with Python and Gurobi
Python I: Introduction to Modeling with Python
LeanLogistics Supply Chain Optimization
Improvements in Gurobi v7.0
Improvements in Gurobi v7.5
Improvements in Gurobi v8.0
Gurobi 8.0 - Enhancements to Instant Cloud and Compute Server
Gurobi 8.0 - Latest Enhancements to R and MATLAB APIs
Enabling Client-Server Optimization Applications With the New Gurobi Compute Server
Getting Started with Gurobi, Part 3 of 3
Getting Started with Gurobi, Part 2 of 3
Getting Started with Gurobi, Part 1 of 3
Tour of the Gurobi Optimizer
How Supply Chain Companies Can Achieve Decision-Centric Optimization
Labor Strategy Optimization for the Professional Services Industry
Ogimoto Laboratory, Balancing Power Supply and Demand
Copenhagen Airports Check-in Counter
How Optimization Modeling Creates Value for an Organization
What’s New – Current Release
Free Online Version of AMPL
Copenhagen Airport Gate and Stand Assignment
Brain Pad Online Advertising Optimization
German First Division Basketball League Scheduling
Learning More: External Books and Blogs
Building a Business Case for Optimization
Use Benchmarks to Find the Best Solver for Your Needs
The Gurobi Python Modeling and Development Environment
Mixed-Integer Programming (MIP) - A Primer on the Basics
Linear Programming (LP) - A Primer on the Basics
Math Programming Modeling Basics
Starting with Gurobi
Modeling Examples
Functional Code Examples
Switching Within a Modeling Language
Open Source Linear and Mixed-Integer Programming Software and Solvers
Switching from XPRESS
CPLEX - Switch to Gurobi
Exporting MPS Files
Why Choose Gurobi?
Switching Is Easier than You Think