A growing number of data scientists are adding mathematical optimization (MO), which is also known as mixed-integer programming (MIP), into their analytics toolbox – as they are discovering that MO solves problems, answers questions, and delivers insights that machine learning (ML) cannot. Incorporating MO into your data science repertoire gives you the opportunity to utilize a broader range of applications, maximize the business value of your data, and increase your overall impact on your organization.
Although the techniques of MO were invented more than 70 years ago, recent advances in computing power, algorithms, and data availability and quality have made it possible for MO technologies to rapidly and effectively handle the world’s most complex business problems and automatically generate optimal solutions. As a result, MO has had an immense impact on a wide variety of business areas – including finance, manufacturing, mining, electrical power, and logistics – and has enabled companies in these and many other industries to boost their operational efficiency and overall profitability.
In this video, Gurobi CEO and Co-founder Ed Rothberg explains how mixed-integer programming (MIP) combines expressiveness and robustness to produce high-quality, reliable solutions.
We make it easy for students, faculty, and researchers to work with mathematical optimization.
When you face complex optimization challenges, you can trust our Gurobi Alliance partners for expert services.
Our global team of helpful, PhD-level experts are here to support you—with responses in hours, not days.
GUROBI NEWSLETTER
Latest news and releases
Privacy Policy | © Gurobi Optimization, LLC. All Rights Reserved.
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-advertisement | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . |
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
CookieLawInfoConsent | 1 year | Records the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie. |
elementor | never | This cookie is used by the website's WordPress theme. It allows the website owner to implement or change the website's content in real-time. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
__cf_bm | 30 minutes | This cookie, set by Cloudflare, is used to support Cloudflare Bot Management. |
Cookie | Duration | Description |
---|---|---|
CONSENT | 2 years | YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data. |
Cookie | Duration | Description |
---|---|---|
VISITOR_INFO1_LIVE | 5 months 27 days | A cookie set by YouTube to measure bandwidth that determines whether the user gets the new or old player interface. |
YSC | session | YSC cookie is set by Youtube and is used to track the views of embedded videos on Youtube pages. |