This session will provide a clear, developer-level look at what’s new with MINLP in Gurobi 13.0.

Still deciding about attending the Powering Decisions Optimization Summit? Watch the on-demand webinar to see what you’ll learn.

Originally presented at Gurobi Days Digital Academic 2025, this panel explores the evolving role of Generative AI in optimization education and academic research.

New Nonlinear Barrier Method – Get locally optimal solutions for nonlinear problems in even less time.

A Front Row Seat on the AI Revolution - Dr. Mike Watson & Dr. Yuri Balasanov (GDDA replay)

Learn how Deswik BOLT, powered by Gurobi, unified mine-to-market decisions to unlock $500M in profit and strengthen supply chain resilience.

Gurobi 13.0 正式发布——速度邂逅创新！我们将在2025年12月16日举办中文网络讲座。 不要错过，立即注册。

Together, they'll share success stories, career insights, and actionable advice for students and early professionals.

See how Deswik BOLT and Gurobi unlocked $500M in profit by optimising coal value chains and boosting supply chain resilience in mining operations.

Using integer programming, the team demonstrates how large-scale optimisation can inform the effective allocation of resources.

Gurobi 13.0 is almost here! Register for our upcoming webinar to get a first look at powerful new capabilities, built to help you solve faster and smarter in our upcoming release.

이번 세션은 Gurobi에서 처음으로 진행한 한국어 웨비나로, 최신 기능과 성능 개선 내용을 한국 사용자 여러분께 더 정확하고 명확하게 전달하기 위해 ...

Iberia and Decide Soluciones: AI as a Catalyst for Transformation at Iberia – Unlocking the Power of Optimization

BearingPoint has been using analytics to support its supply chain projects for many years. Optimisation is a key tool, especially for network optimisation projects, but typically would be combined with other analytical methods.

This talk will provide an overview of recent advances in large language models (LLMs) and their applications in operations research, including leveraging LLMs

Featuring 2025 Edelman Award Winners USA Cycling

Python is a powerful and well-supported programming language that’s also a good choice for mathematical modeling. It has special features that make it easy to build and maintain optimization models.

In this webinar, Quentin Ploussard, Energy Systems Engineer at Argonne National Laboratory, introduces a Mixed-Integer Linear Programming (MILP) approach.

Quantum Logic Gate computers, what are they about? I recently learned how to reformulate a binary integer program (BIP) into an unconstrained binary quadratic...

Join us and our guest speaker Leon Haupt, Founder & Head of Business Development at Phelas GmbH—a pioneer in innovative energy storage solutions— on July 9th to discover how Gurobi’s optimization engine drives smarter decision-making in energy infrastructure design, from techno-economic feasibility to operational strategy.

Part I of this presentation will focus on quantum annealers, as the connections to classical optimization are more direct.

This talk will provide a brief introduction to Instance Space Analysis as a methodology that provides a mathematically rigorous foundation for “stress-testing”

Tackling the Global Challenge of Empty Container Repositioning

Students and instructors can now explore the full journey from business problem to real-world optimization model—supporting faster, smarter decisions.

Thank you for joining us for this exclusive webinar featuring Belma Şıpka from Hitit, where we explored strategies to optimize annual leave planning in aviation and drive operational efficiency with Gurobi. Missed the live session?

Watch this exclusive webinar with Wendy Wang, Director of Optimization Analytics Technology (OAT), as she shares use cases on how optimization can transform supply chain network planning and support better decision making.

Mathematical programming, a technology that started more than 70 years ago on early computers, is quietly at work all around us, touching our lives every day.

Advanced Portfolio Optimization and Backtesting with Discrete Constraints

Scheduling problems arise in a wide range of applications, and solving large-scale problems efficiently can require expert knowledge and insights. In this 40-minute recording, we’ll cover advanced methods for efficiently solving large and complex scheduling problems.

Algebraic modeling languages like AMPL can be a quick and effective way to build optimization applications.

This video presents real-world examples of Machine Learning and optimization in action, illustrating the value it can bring to your organization. It also provides you with next steps on how to get started with optimization as well as available resources.

The Gurobi Python interface combines the ease and expressiveness of a modeling language with the power and flexibility of a programming language. This part two of a three-part series builds on the ideas presented in our Python I webinar.

The Gurobi Python interface combines the ease and expressiveness of a modeling language with the power and flexibility of a programming language. This part three of a three-part series builds on the ideas presented in our Python I and Python II webinars.

In this webinar, attendees will get a first look at our upcoming product release, Gurobi 10.0. We will summarize the performance improvements and highlight some of the underlying algorithmic advances, such as the network simplex algorithm, enhancements in concurrent LP, and optimization based bound tightening.

In this webinar, we will offer a high-level overview of how optimization can be used in the energy sector to better support decision-making.

Discover the Power of Generative AI for Optimization

In this talk, we will navigate through some of the latest advances in Mathematical Modelling and Optimization.

Explore real examples, get expert insights, and discover practical strategies for modeling and solving MINLPs seamlessly using Python and Gurobi.

我们诚意邀请您和您的团队参加Gurobi 12.0中文网络讲座，了解最新的技术创新，包括性能提升的技术亮点，混合整数非线性（MINLP）优化的新功能，焕然一新、界面友好的文档帮助系统

As generative AI technologies evolve, Gurobi discusses how these tools influence the modeling, solving, and application of mathematical optimization.

Gurobi 12.0 has officially launched! Register for our upcoming webinar to get a first look at all the latest enhancements, including performance improvements, new MINLP capabilities, and our revamped, user-friendly documentation.

Are you passionate about operational efficiency, doing more with your limited resources, and solving complex business problems? So are we! And we’re growing a community of like-minded individuals who want to network and share their knowledge and resources.   Join us at our upcoming event to learn more! Thursday, 7 December 2023 3:30 pm to 6:30 pm Novotel Perth Murray Street, Australia *Seats are limited, please register soonest. We hope to see you there!   Agenda: 3.00pm Arrival & Registration 3.30pm Welcome Remarks 3.40pm Introduction to Gurobi 11.0 4.00pm Use Cases from Gurobi Customer/Partner 4.40pm Networking Reception 6.30pm End of Event   Other city and date: Thursday, 23 November 2023 | Auckland, New Zealand Register >>   If you have questions, please contact Xuefen at xuefen.tiow@gurobi.com.   New to Optimization? Check out these frequently asked questions, with easy-to-understand answers. What is mathematical optimization? What is prescriptive analytics?

Gurobi describes its efforts in optimizing global food aid operations using mathematical programing in collaboration with UN World Food Program and USAID.

Gurobi hosted a roundtable webinar titled "Academics Changing the World with Optimization." The panel featured three distinguished researchers

This webinar will equip you with the insights needed to optimize assets and make data-driven decisions that enhance profitability.

Embracing optimization as a structured, disciplined science, infused with creativity yet grounded in methodical best practices.

Learn what GPUs, generative AI, and Quantum Computing mean for the future of optimization, with insights from the Amsterdam Gurobi Summit.

Parabole's procurement plan optimization agent—powered by Parabole's causal AI and the Gurobi solver.

NFL’s Mike North, VP of Broadcast Planning, will discuss the process that goes into creating the NFL schedule, the special challenges faced this year, and much more.

ntegrating gurobipy-pandas into an Extract, Transform, Load (ETL) pipeline enables the seamless incorporation of mathematical optimization directly into data workflows.

Besides training, mathematical optimization is also used in deep learning to model and solve formulations over trained neural networks for purposes such as verification, compression, and optimization with learned constraints.

In this informative webinar from Gurobi, learn how to efficiently build solutions using gurobi-py pandas, a wrapper library to connect pandas with gurobipy.

Gurobi Teams with NVIDIA to Advance First-Order Methods for Large-Scale Optimization.

Our session will focus on incorporating discrete decisions into portfolio selection, such as cardinality constraints and transaction cost considerations.

What you need to do is use an algorithm to efficiently search for additional cut patterns that yield more savings. That's where column generation can help you.

This webinar will feature Austmine Members showcasing the latest innovative solutions that are delivering improvements in the mining supply chain.

SINTEF Railway Optimization: Theory and Applications

This is a hands-on virtual intermediate training event that introduces mathematical optimization, the critical role it serves in analytics.

This webinar is a must-attend for utility professionals, academics, students, national lab representatives, and optimization experts alike.

Data science is used to help improve decision-making, and is now applied to nearly all industries, academic research and curriculum that require enhanced decision-making with complexity. This webinar will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their well-tuned predictive models. In this webinar, we will deliver: A brief introduction to math optimization and its use cases. A new modeling example in action that truly takes you from data to optimal decisions. An example from Gurobi’s set of ready-to-solve models, where you can use optimization with no prior experience. We’ll then wrap up by covering all the learning material Gurobi has made freely available for anyone to use. Don't miss out – let's dive into the world of data-driven decision-making together. Jerry has over a decade of experience in operations research, data science, and visualization, specializing in enhancing decision-making with data. Before joining Gurobi, Jerry worked in consulting at OnLocation, Inc. & Booz Allen where he supported numerous projects by building and customizing mathematical optimization models and leveraging machine learning, applied statistics, and simulation—all to support decision-making through data-driven narratives. Jerry also has a background in college-level mathematics instruction. Now, at Gurobi, Jerry aims to promote the integration of mathematical optimization into the data science and broader AI communities.

Many optimization users have successfully delivered high-value projects—but then face obstacles when it comes to promoting the benefits of optimization and scaling it up at their organizations. Reaping a bountiful harvest from optimization success demands an effectively paced career progression for the best optimizers and an integrated blend of short- and long-term project objectives for each line of business. In this webinar, we will discuss techniques to help attendees effectively spread the development of optimization.

顾博士也在讲座中介绍了性能提升采用的新技术和新算法，例如全局精确混合整数非线性优化，提升LP求解速度和并发速度的新参数，非凸二次矩阵的识别和转换、API接口的更新等等。

In this webinar, get a first look at our latest product release, Gurobi 11.0. We will summarize the performance improvements and highlight some of the underlying algorithmic advances.

Discover how Optimal Schedules, Inc. uses mathematical optimization to deal with specific scheduling objectives and constraints.

Gurobi offers several powerful, lesser-known features that enhance modeling efficiency and solver performance.

The approach combined advanced mathematical modeling and operational data acquisition to produce optimized groundwater abstraction schedules.

he condition number of a square matrix provides a measure of the level of ill conditioning, but it offers limited insight into causes or remedies.

Solve the most complex decision intelligence problems at scale by unlocking the potential of mathematical optimization.

Encoord provides software tools, data, and advisory services to help energy stakeholders plan for the energy transition.

Equip yourself to explain the value of optimization to internal decision makers and get the buy-in needed for optimization projects.

Academic Webinar: The AC Optimal Power Flow Problem - Part 2

Sales & Operations Planning (S&OP) is an essential strategic planning activity that brings the Sales, Marketing, Finance, and Operations teams together for operational excellence.

Webinar: Cost Savings and Business Benefits Enabled by The Gurobi Optimizer

In this webinar, we present the Gurobi OptiMods: an open-source Python repository of optimization use cases implemented using gurobipy. The OptiMods allow users to quickly apply optimization to solve a specific problem in their field of interest via intuitive, data-driven APIs. We will provide an overview of the goals and design of the project, and demonstrate how several of the current set of Mods can be used. Finally, we will outline how the community can contribute additional use-cases or extensions to the project in future. Additional Resources: Webinar slides OptiMods Gallery

Details and results of an in-depth US State of the Market survey about utility-scale quantitative analytics conducted by Endeavor Business Intelligence in partnership with Gurobi Optimization.

Academic Webinar: The AC Optimal Power Flow Problem

Join us on April 20th for a one-hour webinar with Mathias Hintze, Analyst and Frederik Lehn, Model Developer at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping to learn how they are supporting maritime decarbonization by modelling likely transition scenarios towards net-zero emissions for the industry.

This session presented fleet rotation and revenue management systems designed for a car rental company

The MyGoals team uses linear optimization with Gurobi to solve retirement planning complexities.

Decision Intelligence can help organization plan and respond to Black Swan Events reducing Supply Chain Risk and building up Resiliency

See several of our newest (and free) educational examples that students and instructors can use to learn and teach real-world applications of combined data science and optimization problem solving.

Maximizing the Value of Utility Options. The Avista Decision Support System, powered by Gurobi, solves complex utility problems in seconds.

Webinar: Building Gurobi Models from Pandas Dataframes.

Webinar: Using Trained Machine Learning Predictors in Gurobi.

In this Holiday Tech Talk, we will dive into some very unexpected ways of how Gurobi or applications that called it behaved, be it due to a mistake in the code, creative use of the solver by our users, numerical issues, or something else.

Starting with Gurobi version 10.0, gurobipy makes it very easy to build optimization models that are naturally formulated with multi-dimensional constraints.

本次网络讲座中，Gurobi Optimization 公司的 CTO 和创始人顾宗浩博士将会介绍Gurobi 10.0 的新亮点和技术创新。讲座内容包括性能提升采用的新技术和新算法，例如网络单纯形算法，并发LP 求解算法的改进和基于优化的边界紧缩技术OBBT等。Gurobi 10.0将是第一个允许将用户的机器学习模型嵌入到数学规划模型中的商业求解器，极大括展了数据科学家调用运筹算法的能力，这部分功能在Github上开源提供。这部分内容也会在讲座中介绍，以及其他一些开源的效率工具，例如对 pandas 数据的建模支持等。

Join experts Jerry Yurchisin and Dr. Ehsan Khodabandeh for a comprehensive training introducing the basics of mathematical optimization.

In this video, learn about the motivation for some of the recent features added to the Gurobi Optimizer as well as recent developments in the field and how they are influencing our thinking on potential future directions.

This 17 minute video seminar explains the importance of parameters and how to use the Automatic Parameter Tuning Tool to help you maximize Gurobi’s performance.

We have created and released a new, free educational game that introduces new users to the power of optimization.

Cutting costs while being more responsive to the market is becoming a challenge. How to achieve those minimizing inefficiencies throughout the supply chain? Non-integrated manufacturing and distribution processes and poor relations with Suppliers and Customers are a sure recipe for failure.

Build, solve, and query a model using Gurobi.

In this session, we will share the latest Jupyter Notebook Modeling Example featuring a Technician Routing & Scheduling Demo. We will showcase a mixed-integer programming model to simultaneously optimize the technician routing and scheduling (TRS) decisions at a telecommunications firm. Example scenarios and solution visualization will be demonstrated.

In this one-hour webinar you'll learn: · How to use optimization to enhance any existing heuristics you are using

Watch this webinar for tips on how to choose a mathematical programming solver to help you tackle your complex business problems.

Watch this short webinar to learn about how the NFL uses mathematical optimization to solve one of the most challenging scheduling problems in existence.

In this webinar, you will learn how Interpretable AI uses MIP to develop more accurate machine learning models.

Watch this webinar to learn what models may benefit from custom MIP heuristics and how to build your own custom MIP heuristics.

In this fireside chat, Mike North, VP of Broadcast Planning and Scheduling at the NFL and Greg Glockner, VP of Engineering at Gurobi Optimization, discuss how they used mathematical optimization to create the 2019 schedule and some issues and constraints the NFL is facing with the 2020 schedule.

In this webinar recording, we debut the first-ever Gurobi Optimization Application Demos.

Discover how e-commerce company Birchbox uses mathematical optimization.

An ever-increasing number of companies are investing in supply chain optimization software solutions, powered by mathematical programming solvers like Gurobi.

In this webinar, you will learn how Vodafone uses the Gurobi Optimizer to address some of the most challenging optimization problems in the telecommunications industry.

Watch this webinar to learn how to exploit parallelism in linear and mixed-integer programming.

In this webinar, we will take a look at common use cases and usage scenarios – from simple, single-machine deployments, to distributed, decentralized service architectures in the cloud.

In this webinar, KPMG will discuss how to turn disruption into an opportunity and how to use mathematical tools to make better decisions during times of uncertainty. They will deep dive into a few use cases, including the distribution of industrial goods and food.

People are the biggest asset for the professional services industry, as well as one of its biggest expenses. With the help of strategic workforce planning, a professional service firm can better allocate its available workforce to the demands of service delivery.

Watch this webinar to learn about the latest developments in MIP algorithms and applications in the power & energy industries.

Mathematical optimization and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers questions that ML cannot. Machine learning makes predictions while MIP makes decisions. For Data Scientists to be effective, an understanding of MIP and when to use it is critical, as ML does not solve all problems effectively.

Watch this webinar to learn about models with products of binary variables.

The theme of this talk is that “getting the MIP equations right” is just one piece of a much larger puzzle. Optimization engines present integration, maintenance, and ease-of-use challenges that can easily dwarf the man-hours spent on the core mathematics.

Watch this webinar to learn about practical examples for solving problems to maximize revenue and improve efficiencies.

Watch this webinar to learn about the new performance improvements and features in our latest release of the Gurobi Optimizer 9.1. You can also view this video in Chinese.

Irv Lustig, Ph.D., optimization principal at Princeton Consultants, and Ugo Feunekes, co-founder and CTO of Remsoft, will examine how a proven QA methodology uncovered performance issues and improvements that had eluded in-house Remsoft experts for several years, reduced solution times on some problems from hours to minutes, and generated recommendations to increase the reliability and robustness of Remsoft’s software.

Combining Optimization with Machine Learning for Better Decisions.

Combining Optimization with Machine Learning for Better Decisions

The world of mathematical optimization has contributed greatly to the global economy for years. Many businesses have saved millions of dollars (and improved operational efficiencies) solving problems with this technique at the helm. In this Opex Analytics Academy session, Mike Watson was able to sit down and chat with one of the pioneers in this space, Dr. Ed Rothberg, CEO of Gurobi Optimization.

In this webinar, we present different ways to model vehicle routing problems, discuss the advantages of each modeling alternative, explain how to model the requirements related to synching resources in routing activities, assess the best modeling alternative depending on the size of the problem.

In this webinar, we present different ways to model vehicle routing problems, discuss the advantages of each modeling alternative, explain how to model the requirements related to synching resources in routing activities, assess the best modeling alternative depending on the size of the problem.

Watch this video to learn about a fascinating, non-traditional use of integer linear programming in Computational and Systems Biology.

Excel is still the most widely used tool for strategic, tactical and operational purposes in companies around the world.

Developing optimization solutions often requires rapid deployment to users in order to take full advantage of the capabilities.

Watch this webinar to learn about optimization in the telecom industry.

Watch this webinar to learn about optimization in the telecom industry.

In this 35-minute webinar, Dr. Evan Shellshear of Biarri will provide a walkthrough of two ways to formulate a MIP that can model the operations at a port, present an example port and review two solve approaches, and discuss port operations in general, as well as recommend how this research can be applied to other industries.

40-minute webinar with End-to-End Analytics to learn useful tips and tricks on how to solve optimal scheduling problems in Gurobi

This webinar is centered around how East Daley Capital integrates Gurobi into their models. It will cover the business case from a high level, problem formulation as a Mixed Integer Program using Gurobi’s Python API, and the use of Gurobi features to assist in model development.

In this session, Gurobi’s R&D leaders geek out on MIP and answer questions from users of Gurobi about the solver, the history of Gurobi, and some of the more interesting problems they have worked on.

This one hour video seminar explains how you can enable Client-Server optimization applications with the new Gurobi Compute Server.

An introduction to math programming and building a model to use with Gurobi.

A more complex model example including the use of some advanced features.

The latest Gurobi v8.0 adds in expansive new features to the Gurobi Instant Cloud and Compute Server, such as moving to standard communication protocols to help improve security and increase robustness, dynamic addition and removal of clusters, compute server monitoring and management capabilities, improved machine and pool management, and more.

The latest Gurobi v8.0 release features significant enhancements to our R and MATLAB APIs. Those improved APIs now provide nearly all the capabilities of other Gurobi APIs, and now support multi-objective optimization, general constraints, etc.

Find out what’s new in the Gurobi Optimizer. This latest 7.5 release contains significant performance improvements, modeling enhancements, and a range of new features that Gurobi users have asked for.

Find out what’s new in Gurobi Optimizer 8.0. This latest release contains performance improvements and significant product enhancements.

Watch the video and learn about breakthrough new capabilities in Gurobi Optimizer, major new features for Gurobi Compute Server, and improved performance across LP, MIP, and MIQP problem types. You can also watch this webinar in German or in Chinese.

This 50 minute seminar takes you through a tour of the Gurobi Optimizer.

Get started with Gurobi with a complete overview of available resources, including product installation tips, modeling basics, architecture guidance, tuning best practices, and how to make the most of the Gurobi Help Center and user group.

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.

This 50 minute video covers our new QCP and SOCP optimizer for solving quadratically-constrainted models with Gurobi. This new capability is built on top of an efficient Second-Order Cone Programming (SOCP) solver. This seminar will discuss the design choices we made in building this new optimizer, and the impact of these choices on overall performance and robustness.

This 75 minute video demonstrates the capabilities of the Gurobi Interactive Shell.

In this webinar, we showcase the power of mathematical optimization applications and demonstrate how you can deploy these applications on modern IT architectures.

This video shows one of the major new feature in Gurobi 9.0, the new bilinear solver, which allows users to solve problems with non-convex quadratic objectives and constraints such as QPs, QCPs, MIQPs, and MIQCPs.

Products of problem variables appear naturally in quadratic programs. Special preprocessing, linearization and cutting plane techniques are available to deal with such products. If at least one of the two variables in a product is binary, then the product can be modeled using a set of linear constraints. As a consequence, there are many mixed integer linear programs (MILPs) that actually contain products of variables hidden in their constraint structure. Rediscovering these product relationships between the variables enables us to exploit the solving techniques for product terms.

We often get questions asking how easy it is to switch to Gurobi and what help is available if it is needed. The general answer is that switching to Gurobi is much easier than many people think. The majority of switchers are able to migrate their model(s) on their own using resources already available on www.gurobi.com.

Watch this Tech Talk on converting weak to strong MIP formulations. Key members of the Gurobi team will distinguish weak formulations from strong ones, from the perspective of the models and associated physical systems rather than the underlying theory.

Watch Part 2 of this Tech Talk on converting weak to strong MIP formulations.

Watch this 30-minute video to learn about a new set of API functions within the Gurobi Python interface (“gurobipy”) that support matrix-oriented modeling.

This 50 minute tutorial illustrates the modeling features of the Gurobi Python API.

Easily develop optimization models and turn them into powerful Python applications using Gurobi and Anaconda.

This 30 minute webinar introduces Gurobi’s capabilities relating to parallel and distributed optimization.

This 40-minute recording will focus on how AMS integrates Gurobi into their software solutions.

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

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

This 73 minute video seminar explains how to tune the performance of the Gurobi Optimizer.

Speed is key for most users that embed Gurobi into their own application infrastructure. Input data is transformed into high quality planning solutions and results need to be delivered in a timely manner as part of a robust and reliable system architecture.

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.

In this webinar Assistant Professor Kimia Ghobadi, Department of Civil and Systems Engineering at Johns Hopkins University, discusses the mathematical models her team developed to match COVID-19 demand with available resources in a network of hospitals through patient transfer.

Watch this video to learn about the recent release of Gurobi 9.0 which adds a new server component, the Cluster Manager, that can be installed with your Compute Server nodes. It provides better security with user authentication and API keys and also expands the capabilities of the cluster nodes with unified management of interactive and non-interactive optimization tasks.

Watch this special holiday edition Tech Talk. This fun and festive Tech Talk is a great opportunity to explain mathematical optimization to those unfamiliar with it.

In this webinar, you will learn what’s new in 9.5 including performance improvements, new features and enhancements.

Watch this webinar, featuring FINOR, to learn how mathematical optimization models can be applied to portfolio selection.

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.

Learn about non-convex optimization using hands-on code examples.

In this webinar, you will learn what’s new in 9.5 including performance improvements, new features and enhancements.

Why should you make Gurobi your solver of choice? Learn more about our company and what we offer.

The acceleration of these changes we’re seeing today can be attributed to several sources: trade, technology, health, and the environment.

What is Decision Analytics and How Can it Be Used To Solve Complex Challenges?

Uncover the power of mathematical optimization in the advancement of quantum computing.

Ever wonder how avocado pricing impacts buyers’ decisions? Or how you can discover lesser-known artists in your daily music playlists? Or how to assemble the ideal fantasy basketball team?

Analytics––descriptive, predictive and prescriptive is a rapidly evolving field that gives companies the knowledge to make smarter business decisions. It provides valuable insight into past performance and future prediction and decision guidance.

How it can be used in Data Science and how companies like Uber, Air France, SAP and others use it to innovate.

From Waste to Resource? DOE’s new initiative is identifying cost-effective and environmentally sustainable produced water management, treatment, and reuse solutions

Millions of purchase orders and sales orders are issued between companies every day. With such volume, plus multiple products and suppliers—as well as constraints and variables—inventory optimization has become extremely complex.

Are you looking for a mathematical programming solver to help you tackle your complex business problems? With so many options out there, choosing the right solver for your business needs can be a major challenge.

With the release of Gurobi 9.0’s addition of a new bilinear solver, the Gurobi Optimizer now supports non-convex quadratic optimization. This groundbreaking new capability allows users to solve problems with non-convex quadratic constraints and objectives – enabling them to find globally optimal solutions to classic bilinear pooling and blending problems and continuous manufacturing problems.

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.

The importance of incorporating uncertainty into optimization problems has always been known; however, both the theory and software were not up to the challenge to provide meaningful models that could be solved within a reasonable run time.

Learn how to better showcase the value of optimization in your organization.

Watch this short webinar to learn about how the Federal Communications Commission (FCC) uses mathematical optimization to schedule the reassignment of channels for broadcast television stations in the United States and Canada in order to free up spectrum for mobile use and 5G.

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.

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.