Although mathematical optimization technologies have made tremendous strides over the years—with dramatic improvements in speed, accuracy, and robustness—performance remains a constant challenge.

This is because, even though solvers keep getting faster and more powerful, the size and complexity of business problems continue to increase.

And so the quest to reach higher and higher peaks of performance continues, and speed remains a top priority among solver software developers (who continually strive to raise the bar and set new standards) and users (who are constantly looking to solve harder problems, faster).

Find out more about the importance of solver speed in our white paper, "A Need for Speed: Why Solver Speed Matters."