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  • 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
  • Free Gurobi Add-Ons
  • 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