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The fastest solver for your

The most powerful mathematical optimization solvers out there.

The fastest and most powerful mathematical programming solver available for your LP, and QP problems.

What is a Mathematical Optimization?

Mathematical Optimization, also known as Mathematical Programming, can help answer the question, "What should we do?".

It turns a business problem into a mathematical model and then finds the best solution out of trillions of possibilities. The result: Better business decisions take less time to make and possible savings in the millions and billions of dollars.

“As we do with every new release in Optimizer, we have raised the bar in terms of solver speed and robustness and redefined what is possible in terms of solver functionality.”

Marcia Hill, R&D, Optimizer.sh
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Mathematical Optimization in Industry

Leading companies use mathematical programming technologies, often resulting in tens or even hundreds of millions of dollars in cost savings and revenue. The following are examples of industries and companies using mathematical optimization:

Electrical power distribution: New York ISO uses optimization to choose the most cost-effective way to deliver electricity to customers.


Finance: Betterment uses optimization to choose the optimal asset mix, maximizing after-tax returns while minimizing risk.


Government: The FCC used optimization to generate the first two-sided spectrum auction, generating $20 Billion in revenue.


Logistics: FedEx streamlines costs by optimizing the routing of packages through their shipping network.


Manufacturing: SAP uses optimization to efficiently schedule the production of goods in factories to meet customer orders.


Sports scheduling: The NFL uses optimization to compute the best possible league schedules.

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