Could your organization benefit from working with a Gurobi Alliance partner? That depends on your team’s in-house proficiency with mathematical optimization—as well as their bandwidth. To identify your team’s proficiency level, you can start by asking the following questions:
More and more, our clients have the in-house capacity to develop mathematical optimization models. They may not have the knowledge to develop the most elegant models, but they can get the process started.
While many firms have team members with the capacity to develop mathematical optimization models, fewer have personnel with the depth of knowledge and level of experience necessary to apply evolving industry best practices to their work.
In addition, some firms have team members with limited exposure and experience with mathematical optimization—where they can do more harm than good (i.e., the resulting model becomes overly complicated or does not use best practices). An outside expert who has devoted their career to best practices in mathematical optimization can help you know which approaches to apply and when, and how to appropriately test models for correctness.
A few firms have distinctly talented in-house teams who can develop a mathematical optimization model, understand the best techniques for validating that the model is correct, and appropriately deploy best practices. However, they may still need support in understanding how Gurobi (or another solver) interacts with the model.
Models with millions of variables and different ranges of data inputs can interface with a solver in unexpected ways. In this case, consider bringing in support from someone who is deeply familiar with the solver itself to help you understand what is happening and how to respond.
There is an art and science to writing a good mathematical optimization model—and a poorly written model may be the reason for long solve times. In addition to helping firms understand how their model and the solver are interacting, an outside partner can help their client improve the relationship between the two to make the results even more robust.
Even teams with excellent optimization proficiency can use an extra pair of hands sometimes. Gurobi and our Gurobi Alliance partners are here for you when you need advice, or whenever you encounter a problem. No matter where you are on your optimization journey, our experts can come alongside and support you, with services that include:
At the end of the day, Gurobi is a software company. Many of our customers have the mathematical programming skills necessary to write their own models. In this case, the Gurobi team provides top-tier user support in helping them address any software issues as they arise.
As we troubleshoot any software issues our customers encounter, Gurobi frequently offers insights to clients on how they can fine-tune their models. We provide this feedback as a courtesy. However, if we identify major gaps in the model, we can make recommendations on which of our partners to engage with and how.
If you need it, we can connect you with a Gurobi Alliance partner who can help you build a model from scratch. These partners can listen to your goals and objectives, map out your constraints, help you work through the tradeoffs and priorities, and develop a model that can guide your decision-making.
Let’s say you have designed your model and incorporated it into your decisions and business practices. But suddenly, the model starts behaving oddly or producing unusual results. A consultant can review the model and identify the source of the issue.
For example, one of our customer’s models suddenly started generating unusual results. After a consultant worked with the client to review the model, they realized that the issue was in the data management and entry into the model (i.e., the firm’s “upstream” data practices). Identifying where the issue was located empowered the firm to course correct and stabilize their model and results.
Occasionally, a customer needs to completely rethink their approach to modeling. For example, one client’s model started running much more slowly than it had in the past as their business had grown. They then engaged Princeton Consultants to provide a fresh perspective on what could be going wrong.
Princeton helped them totally change their modeling approach, leveraging key Gurobi features that reduced solution times from 48 hours to 15 minutes on average. This allowed the client to experiment with different scenarios, opening up new business opportunities.
In addition to Gurobi’s expert support and our network of trusted partners, Gurobi’s research and development team is constantly searching for ways to improve our solver and provide our customers with additional functionality. For example, in response to one client’s needs, we expanded our recommendations regarding highly intensive monitoring systems for model corrections.
To use an automotive metaphor, Gurobi makes an engine, but you are the driver. Depending on your skills and needs, our consulting partners can build the car for you or give you advice when the car you built yourself is not working the way you intended. Regardless of whether you are buying something off the shelf or building it yourself, working with Gurobi and our consulting partners can help you rethink what is possible with your mathematical modeling. You do not have to figure out all the answers on your own. We’re here to help.
GUROBI NEWSLETTER
Latest news and releases
Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.
Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.
Cookie | Duration | Description |
---|---|---|
_biz_flagsA | 1 year | A Cloudflare cookie set to record users’ settings as well as for authentication and analytics. |
_biz_pendingA | 1 year | A Cloudflare cookie set to record users’ settings as well as for authentication and analytics. |
_biz_sid | 30 minutes | This cookie is set by Bizible, to store the user's session id. |
ARRAffinity | session | ARRAffinity cookie is set by Azure app service, and allows the service to choose the right instance established by a user to deliver subsequent requests made by that user. |
ARRAffinitySameSite | session | This cookie is set by Windows Azure cloud, and is used for load balancing to make sure the visitor page requests are routed to the same server in any browsing session. |
BIGipServersj02web-nginx-app_https | session | NGINX cookie |
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. |
JSESSIONID | session | New Relic uses this cookie to store a session identifier so that New Relic can monitor session counts for an application. |
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. |
_biz_nA | 1 year | Bizible sets this cookie to remember users’ settings as well as for authentication and analytics. |
_biz_uid | 1 year | This cookie is set by Bizible, to store user id on the current domain. |
_hjAbsoluteSessionInProgress | 30 minutes | Hotjar sets this cookie to detect a user's first pageview session, which is a True/False flag set by the cookie. |
_mkto_trk | 2 years | This cookie is set by Marketo. This allows a website to track visitor behavior on the sites on which the cookie is installed and to link a visitor to the recipient of an email marketing campaign, to measure campaign effectiveness. Tracking is performed anonymously until a user self-identifies by submitting a form. |
bcookie | 1 year | LinkedIn sets this cookie from LinkedIn share buttons and ad tags to recognize browser ID. |
bscookie | 1 year | LinkedIn sets this cookie to store performed actions on the website. |
doc_langsBB | 1 year | Documentation system cookie |
doc_version | 1 year | Documentation system cookie |
lang | session | LinkedIn sets this cookie to remember a user's language setting. |
lidc | 1 day | LinkedIn sets the lidc cookie to facilitate data center selection. |
UserMatchHistory | 1 month | LinkedIn sets this cookie for LinkedIn Ads ID syncing. |
whova_client_id | 10 years | Event agenda system cookie |
Cookie | Duration | Description |
---|---|---|
_gat_UA-5909815-1 | 1 minute | A variation of the _gat cookie set by Google Analytics and Google Tag Manager to allow website owners to track visitor behaviour and measure site performance. The pattern element in the name contains the unique identity number of the account or website it relates to. |
Cookie | Duration | Description |
---|---|---|
_an_uid | 7 days | 6Sense Cookie |
_BUID | 1 year | This cookie, set by Bizible, is a universal user id to identify the same user across multiple clients’ domains. |
_ga | 2 years | The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors. |
_ga_* | 1 year 1 month 4 days | Google Analytics sets this cookie to store and count page views. |
_gat_UA-* | 1 minute | Google Analytics sets this cookie for user behaviour tracking. |
_gcl_au | 3 months | Provided by Google Tag Manager to experiment advertisement efficiency of websites using their services. |
_gd_session | 4 hours | This cookie is used for collecting information on users visit to the website. It collects data such as total number of visits, average time spent on the website and the pages loaded. |
_gd_visitor | 2 years | This cookie is used for collecting information on the users visit such as number of visits, average time spent on the website and the pages loaded for displaying targeted ads. |
_gid | 1 day | Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously. |
_hjFirstSeen | 30 minutes | Hotjar sets this cookie to identify a new user’s first session. It stores the true/false value, indicating whether it was the first time Hotjar saw this user. |
_hjIncludedInSessionSample_* | 2 minutes | Hotjar cookie that is set to determine if a user is included in the data sampling defined by a site's daily session limit. |
_hjRecordingEnabled | never | Hotjar sets this cookie when a Recording starts and is read when the recording module is initialized, to see if the user is already in a recording in a particular session. |
_hjRecordingLastActivity | never | Hotjar sets this cookie when a user recording starts and when data is sent through the WebSocket. |
_hjSession_* | 30 minutes | Hotjar cookie that is set when a user first lands on a page with the Hotjar script. It is used to persist the Hotjar User ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID. |
_hjSessionUser_* | 1 year | Hotjar cookie that is set when a user first lands on a page with the Hotjar script. It is used to persist the Hotjar User ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID. |
_hjTLDTest | session | To determine the most generic cookie path that has to be used instead of the page hostname, Hotjar sets the _hjTLDTest cookie to store different URL substring alternatives until it fails. |
6suuid | 2 years | 6Sense Cookie |
AnalyticsSyncHistory | 1 month | LinkedIn cookie |
BE_CLA3 | 1 year 1 month 4 days | BrightEdge sets this cookie to enable data aggregation, analysis and report creation to assess marketing effectiveness and provide solutions for SEO, SEM and website performance. |
CONSENT | 2 years | YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data. |
dj | 10 years | DemandJump cookie |
djaimid.a28e | 2 years | DemandJump cookiean |
djaimses.a28e | 30 minutes | DemandJump cookie |
li_gc | 5 months 27 days | LinkedIn Cookie |
ln_or | 1 day | LinkedIn Cookie |
vuid | 2 years | Vimeo installs this cookie to collect tracking information by setting a unique ID to embed videos to the website. |
Cookie | Duration | Description |
---|---|---|
__adroll | 1 year 1 month | This cookie is set by AdRoll to identify users across visits and devices. It is used by real-time bidding for advertisers to display relevant advertisements. |
__adroll_fpc | 1 year | AdRoll sets this cookie to target users with advertisements based on their browsing behaviour. |
__adroll_shared | 1 year 1 month | Adroll sets this cookie to collect information on users across different websites for relevant advertising. |
__ar_v4 | 1 year | This cookie is set under the domain DoubleClick, to place ads that point to the website in Google search results and to track conversion rates for these ads. |
_fbp | 3 months | This cookie is set by Facebook to display advertisements when either on Facebook or on a digital platform powered by Facebook advertising, after visiting the website. |
_te_ | session | Adroll cookie |
fr | 3 months | Facebook sets this cookie to show relevant advertisements to users by tracking user behaviour across the web, on sites that have Facebook pixel or Facebook social plugin. |
IDE | 1 year 24 days | Google DoubleClick IDE cookies are used to store information about how the user uses the website to present them with relevant ads and according to the user profile. |
li_sugr | 3 months | LinkedIn sets this cookie to collect user behaviour data to optimise the website and make advertisements on the website more relevant. |
test_cookie | 15 minutes | The test_cookie is set by doubleclick.net and is used to determine if the user's browser supports cookies. |
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. |
yt-remote-connected-devices | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
yt-remote-device-id | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
yt.innertube::nextId | never | This cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen. |
yt.innertube::requests | never | This cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen. |