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Don’t Go It Alone. Gurobi and Its Partners Provide the Continuum of Support You Need.

While the mathematical optimization field is more than 70 years old, many customers are still learning how to make the most of its capabilities. That’s why, at Gurobi, we have established the Gurobi Alliance partner network—a group of trusted partners who can support you in achieving your optimization goals.

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Lyft Optimizes Driver Incentives with Gurobi
By optimizing driver incentives, Lyft can encourage drivers to drive in areas with the highest demand for rides.
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Try our new documentation site (beta).

Type:	double
Modifiable:	No

Minimum (non-zero) coefficient in the quadratic part of all quadratic constraint matrices (in absolute value).

For examples of how to query or modify attributes, refer to our Attribute Examples.

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